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Smallholder Palm Oil Production Sector in African Countries: State of the Art, Practices, Constraints, and Opportunities in Cameroon

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15 July 2023

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18 July 2023

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Abstract
During the extraction of palm oil by smallholders in Cameroon, the use of enormous quantities of water results in palm oil mill effluent (POME), which contains substances that are deleterious to the environment at concentrations above the threshold values. A detailed description of the various processes involved is imperative so as to develop methods of reducing loss and minimising the environmental effect caused by the wastes produced. In this study, we characterise the small-holders’ palm oil production sector in Cameroon, along its entire production chain. The main demographics of smallholder farmers are adult males (64.4%) and married (46.7%) with low levels of formal education (51.1% attained only primary education). Plantation establishment involves deforestation of pristine vegetation (46.7%) as well as replacing other farming systems. Processing is carried out by the farmers with their own mills (48.9%) bought at exorbitant prices. Access to finances (51.1%) remains a key limitation to plantation expansion and the adoption of innovations in this sector. Workers’ health issues abound (75.6%) and are treated mainly using ethnomedicine (31.1%), and there is little or no social security; thus, sick workers generally pay their own bills (64.4%). Issues of environmental pollution from production to waste processing abound with solid waste mainly burnt (57.8%) and POME directed into open pits and streams (37.8%) where they become a nuisance and serve as breeding grounds for mosquitoes (51.1%); these issues will require greater state involvement for mitigation. Our findings suggest that farmers in the palm oil sector have deep knowledge base and competence, but government intervention are needed to stimulate further growth in this important sector.
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1. Introduction

Palm oil is extracted from the mesocarp (flesh) and endosperm (kernel) of the fruits of the oil palm tree (Elaeis guineensis Jacq.), which is native to West and Central Africa. Palm oil has a high content of saturated fatty acids, which makes it suitable for frying and baking, as well as for producing margarine, soap, detergents, cosmetics, and biofuels. Palm kernel oil, which is extracted from the kernel, is mainly used for soap making and other industrial purposes [1]. Palm oil is an essential multipurpose raw material for both food and non-food industries. It is estimated that for every Nigerian household of five, about two liters of palm oil is consumed weekly for cooking [2]. It has also been shown from the 2008 Ghana Demographic and Health Survey that one out of every two households (54%) in the country and four out of five (80%) households in the Centre Region used palm oil in food preparations [3]. Small-scale palm oil processing has been shown to be profitable and can also be a source of employment. [4].
According to the Food and Agriculture Organization (FAO), global palm oil production reached 71 million tonnes in 2018, accounting for 37% of the total vegetable oil output. The demand for palm oil has rapidly increased owing to its positive health impacts such as improving brain health, decreasing cholesterol levels, reducing oxidative stress, and improving hair and skin health [5].
Southeast Asian countries such as Malaysia, Indonesia, and Thailand currently contribute over 85% to the global supply of palm oil [6]. Other major producers include Colombia, Nigeria, and Ecuador. Africa as a whole produced 6.3 million tonnes of palm oil in 2018, representing 9% of the global production [7].
The scale of palm oil production in Africa ranges from subsistence production for use within farm families to industrial production, as is the case with the Cameroon Development Corporation (CDC), PAMOL Plantations PLC, and ‘Société Camerounaise de Palmeraies’ (SOCAPALM), among others. Other authors have divided palm oil production into two main categories, namely, industrial and non–industrial. Industrial production refers to large-scale plantations (>1000 ha) that are owned or managed by multinational corporations or national companies that use modern technologies and inputs to maximize yields and profits, whereas nonindustrial production refers to small- (<10 ha) and medium-scale (10–1000 ha) plantations that are owned or managed by individual farmers or cooperatives that use traditional or semi modern methods and inputs to produce palm oil for subsistence or local markets [8]. The state of Cameroon classifies nonindustrial operators in farm sectors as smallholders. In the palm oil production sector, smallholders abound and contribute significantly to meeting the national palm oil needs of the country. However, their characteristics remain largely undertaken.
Awere et al. [3] observed the need for the treatment of wastewater produced from palm oil processing activities before disposal. They proposed the exploration of treatment technologies that could achieve recovery of resources (e.g., biogas, compost, and earthworm biomass) and fit into the framework of the circular economy.
The characterisation of palm oil production is essential to guide government and international policies more effectively. For instance, the understanding of demographic characteristics will provide information on how to direct innovations in agriculture. It has been shown that demographic characteristics play a key role in technology adoption in the corn sector [9] and the Ricinodendron heudelotii sector in South Cameroon [10]. How these characteristics play out in the oil palm sector in Cameroon is yet to be studied. A major challenge in economies dependent on agriculture is that investments typically do not make commensurate returns. This is especially true in sectors such as the oil palm with long juvenile phases. The understanding of the production, processing, labour, and other cultural characteristics of this sector is essential to better direct resources. It will guide investors in the sector on where to pay more attention. For instance, Ayompe et al. [11] used an econometric approach to show that there are better profits for investors in selling crude palm oil than for those who market fresh fruit bunches (FFBs). Similar studies in the oil palm sector are rare.
Deforestation, soil erosion, water contamination, noise and air pollution, and others, which are inevitable consequences, have all been linked to palm oil production and processing [12,13]. In Cameroon, these impacts have not received sufficient attention, especially in the smallholder sector. It is essential therefore to comprehensively characterise the smallholder oil palm sector in Cameroon so that policy makers can direct resources on areas that would stimulate growth and enhance the relationship between rural communities hosting such palm oil processing units, and the smallholder palm oil mills. In this research, we aimed at filling this gap, and the findings are significant for the valorisation of smallholders’ efforts in the sector.

2. Materials and Methods

2.1. Reconnaissance survey and ethical clearance

A reconnaissance survey was first carried out to familiarise ourselves with the sites and identify the key actors in the sector. This required meetings with the regional representatives of Agriculture and Rural Development for the Littoral and Centre Regions, where information on the nature and organisation of smallholder oil palm plantations was obtained. Key respondents were also identified at this stage to act as contact points and guides during the actual survey. Thereafter, visits were made to the different subdivisions in the two regions where oil palm activity is most intensive, and from the findings of these visits, the sites were selected. Then, ethical clearance was obtained from the Institutional Animal Care and Use Committee (UBIACUC) of the University of Buea, Cameroon, which is the authority for issuing clearances for research of this nature in the South west Region of Cameroon.

2.2. Study site

The study was carried out in the Centre and Littoral regions of Cameroon. In the Centre Region, the areas covered included Sombo Village, Sombo Centre, and Nyachou-Pesupal. In the Littoral Region, Fiko (Bonalea subdivision) and Nkapa (Dibombari subdivision) of Mungo were covered (Figure 1). The sites selected are known centres of smallholder oil palm cultivation in Cameroon. The Centre Region falls within Cameroons humid equatorial agroecological zone V with bimodal rainfall, whereas the Littoral Region falls within agroecological zone IV, which is a humid equatorial zone with monomodal rainfall. The natural vegetation in both zones is tropical forests, with mangroves along the coastlines and riparian fringes. Agriculture is the dominant activity of the inhabitants of the hinterlands in both areas, and the major plantation crop for smallholders is the oil palm.

2.3. Population and sample size

The study population comprised smallholder farmers in the oil palm sector in the Centre and Littoral Regions of Cameroon. On the basis of accessibility, samples were drawn from the five sites that are cited above. A total of 45 respondents were selected for this study on the basis of the size of their plantations (small scale, <5 ha; medium scale, 5–1000 ha) and their proximity to forests (forest edge, <1 km; non-forest edge, >1 km).

2.4. Methods

Mixed-methods research approaches were applied in this study. Semi structured questionnaires were administered to 45 respondents selected on the basis of the criteria cited in Section 2.3. The major items of the questionnaire included demographics, oil palm plantations, palm oil processing, land tenure, yield and income, labour and inputs, market access and prices, environmental awareness and practices, and perceived opportunities and constraints.
Observations and ethnography were used to identify and record aspects that would not be covered sufficiently by the items, for instance, modes of disposal of palm oil mill wastes and the different methods of oil processing and storage. Informed consent was obtained from the respondents prior to administering the questionnaire. The 45 respondents all of them completed the questionnaires thus obtaining a response rate of 100%.
Secondary data were obtained by desktop research on palm oil production publications in the University of Buea Library, the FAO statistics yearbook for 2020, and other scientific publications listed in the references.

2.5. Statistical analysis

The data generated from the questionnaire were encoded in SPSS Version 21, by binary coding. The data were checked for integrity by outlier analysis and missing value analysis. Subsequently, exploratory descriptive analyses were conducted to identify underlying patterns. Spearman rank correlation analysis was conducted to find relationships between demographic and non–demographic variables and factor analysis was carried out to determine special associations between the variables, on the basis of their correlations. Where necessary, analyses were conducted at α = 0.05.

3. Results

3.1. Demographic characteristics of respondents in the smallholder oil palm sector in Cameroon

Results on the demographic characteristics of smallholders in the palm oil production sector in Cameroon are presented in Table 1. The majority (64.4%) of the respondents are male and mostly 31 to 40 years old group (33.3%). Most (91.1%) of the respondents have received some form of formal education with a majority (51.1%) having attained primary school education, followed by 31.3% of the respondents: having attained secondary school education. These two groups account for 84.4% of the respondents. A majority (75.6%) of the respondents carry out other income generating activities and most (46.7%) are married. In the sites surveyed, Protestants (66.7%) are the dominant religious group and a majority (66.2%) of the respondents have lived in the community for over 10 years with the primary occupation being farming, fishing, or hunting (75.6%).

3.2. Smallholder oil palm production characteristics in Cameroon

The technical characteristics of oil palm cultivation and harvesting in the study sites are shown in Table 2. Most smallholders (48.9%) have 21 to 30 years of experience in oil palm farming and a majority (95.6%) understand that planting is preferably conducted in the rainy season. The typical smallholder farm sizes in Cameroon are 5 ha or less (62.2%), and most smallholders think both Dura and Tenera varieties of oil palm are suitable for planting, and this choice is without guidance from experts (46.7%). With respect to the choice of variety in terms of yield, a majority (80%) of smallholders considered that the Tenera variety is preferable because it yields more oil than the Dura variety. The oil palm tree is typically pruned twice a year for mature palms and three times a year for young palms. The harvest of FFBs is low from June to December. High yields of FFBs are observed from January to May (64.4%).
A majority (51.1%) of the respondents obtain their oil palm seeds from IRAD, followed by SOCAPALM (17.8%). Other oil palm seed suppliers include Mbongo Company and Common Initiative Groups (CIGs) (Figure 2A). For farmers already harvesting, a majority (64.4%) produce between 5 and 8 tonnes of palm oil per year (Figure 2B).
The production process of palm oil from land preparation to the finished product is presented in Figure 3. Oil palm cultivation begins with the establishment of the plantation. The land is cleared, with land preparation activities including slash and burn, felling of trees, and in some cases, levelling or landscaping. Holes are dug in preparation for planting. In some plantations, roads are constructed for easy access. In the meantime, nursery operations commence. Palm seedlings are typically ready for field planting after at least two years in the nursery. Cultural practices include regular clearing, nutrition management and pruning. Harvesting is carried out when the FFBs are ripe and have released some fruits. The FFBs are then prepared for milling, with operations varying depending on the type of mill used. The end product is palm oil of various grades depending on the quality of the process. The waste product includes the FFBs, palm kernels, and sludge from the oil milling process, and these are typically disposed of within the plantation, often in close proximity to the area of operation (Figure 3).
The production and land tenure characteristics of oil palm production in smallholder plantations in Cameroon are presented in Table 3. A majority (64.4%) of the respondents indicated the lack of fertilizer application or nutrition management as the dominant factor affecting production. Other factors mentioned are lack of finances, climate change, birds feeding on palm nuts, and failure to prune the palm trees. Typically, there is no pest management (95.6%), and a majority (51.1%) do not carry out any sustainable practices such as intercropping. Most (60%) of the farms surveyed were 11 to 20 years old, and most farmers (77.8%) gave 21 to 40 years as the economic age for replanting. A majority (93.3%) of the farmers have not been trained in sustainable oil palm cultivation and most of the land used is either rented (31.1%) or bought (40.0%). For those using family land, a majority (62.2%) of such lands is owned by adult males in the family. In terms of relief, 44.0% of the respondents reported that their land is flat, whereas the rest reported that their land has either a gentle or steep slope. A majority of the farmers surveyed expressed the desire for more land to expand their plantations.
Deforestation is a major concern in oil palm cultivation in the tropics. A high proportion (46.7%) of the respondents reported that no action is taken to address or mitigate deforestation (Figure 4A). Those who take action carry out intercropping and planting of economically trees important (Figure 4A). Figure 4B shows the distribution of land uses prior to the oil palm plantation establishment. A significant proportion (46.7%) of plantations is established on pristine forest land, whereas the rest have replaced arable croplands and orchards.
Labour characteristics surveyed indicated that most labour in the oil palm sector (data not shown) is drawn from natives (51.1%) and a majority (55.6%) of the farms use family, hired temporal, and hired permanent labour in their operations. Respondents (88.9%) characterised the labour situation in the sector as unstable and 53.3% of them gave seasonal fluctuations as the main reason. The labour force (86.7%) in the oil palm plantation typically lacks social security. Other incentives offered by some smallholders to their workforce include loans (42.2%), housing (28.9%), or both. Smallholders (77.8%) lack access to credit facilities from banks, whereas 22.2% of respondents reported a scarcity of informal finance. All respondents (100%) reported that there is no government financial support; thus, so the modes of farm financing include profits from sales of FFBs and palm oil in 17.8% of the respondents and others (82.2%) take care of their own finances.
Transportation and postharvest considerations in the smallholder oil palm sector in Cameroon are presented in Table 4. A major challenge to postharvest is the poor state of farm-to-market roads (71.1%). FFBs are mainly processed within the farmers’ own artisanal mills (55.6%) with the rest processed in other artisanal mills. A majority of the FFBs are processed on-farm (66.7%) with the remaining 33.3% sold to intermediaries.
Factor analysis of the correlation matrix between oil palm production characteristics and demographic characteristics of the respondents is presented in Figure 5. The first two factors explain only 30% of the observed variation in the data. From on the correlation matrix, there is a strong association between plantation age and level of experience of farmers on the one hand and among the ownership of family land, market for FFBs and access to informal finance on the other hand. Similarly, strong associations exist between the age of farmers and their level of education on the one hand and among production per season, farm size, modes of farm financing and labour safety on the other hand.

3.3. Palm oil processing

The technical considerations in palm oil processing are presented in Table 5. After harvest, all the respondents (100%) indicated that they store their nuts on a bare floor, and the nuts are separated from the bunches by whole–bunch fermentation, shredding, and re-fermentation (60%). Most farmers (48.9%) use their own mills, bought at 3 million frs for 42.2% of the respondents, and most of them considered that the mills would be in service for 5 to 20 years (60%). Most of the mills are neither fully automatic nor fully manual, and 46.7% of them have a capacity of processing 1 tonne of FFBs per season. For the most part according to respondents, machine extraction rate and machine age are key determinants of the efficiency of oil extraction, and 64.4% of the respondents reported that the Dura variety is preferred because it produces good-quality oil, whereas others prefer the Tenera variety because it produces more oil. According to 62.2% of the respondents and from field observations, the oil extraction process involves fermentation, boiling of nuts, digestion, pressing, clarification, and boiling of the crude palm oil, in this order. According to the respondents, the major challenges in palm oil processing are as follows. The FFB weight is based on an estimation, and the fruit and oil burn when water is insufficient (84.4%). Lack of finances remains the major obstacle to the modernization of the process (51.1%). With respect to the palm oil mill effluent (POME) from processing (data not shown), 84.4% of the respondents reported that POME has negative effects on water quality, and 53.3% of the respondents say neighbours complain about the milling process at least sometimes. With respect to quality assurance, 57.8% of the respondents carry out sensory testing, whereas 13.3% try to prevent moisture from getting into the oil. Factor analysis of the relationships between the demographic parameters and the quality attributes in the milling process (data not shown) did not show any significant association between the demographic parameters, and quality and technical attributes of the milling process.

3.4. Hygiene and health considerations in palm oil processing

Results on hygienic operations and steps to minimise air and water pollution in smallholder schemes are presented in Figure 6. A majority of the respondents (71.1%) carry out minimal hygiene practices such as cleaning the nuts before processing, and a significant proportion (44.4%) practice POME treatment and have in place mechanisms (chimneys) to re-direct smoke from milling operations.
Table 6 presents the health-related characteristics of the respondents with respect to palm oil processing. To prevent health complications caused by milling operations, most of the workers (31.1%) drink extracts from the bitter leaf (Vernonia amygdalina) and leaves of pawpaw (Carica papaya) with milk, whereas others (28.9%) practice rotation of workers. Most (75.6%) of the respondents have experienced health problems linked to processing and 95.6% of them report that there are no health-related regulations and guidelines for the sector. In all the study sites, the Souza Council monitors the sanitary conditions of the workers (60.0%). To protect workers from exposures to heat and smoke, 44.4% of the respondents reported that their workers wear heat-protective clothes and face masks. When workers get ill because of the job, 64.4% of them pay their own bills, with only 35.6% of the smallholders covering such bills for their workers.
Results of Spearman rank correlation analysis (Table 7) show that there is a significant negative correlation (r = −0.432, p = 0.003) between health risks and support in promoting hygiene, and between a history of health problems and support in promoting hygiene (r = −0.464, p = 0.001). A significant positive correlation (r = 0.486, p = 0.001) exists between the prevention of health risks and support in promoting hygiene.

3.5. Storage of crude palm oil after processing

Palm oil in the sector is mainly stored in closed plastic containers, which are kept clean by most farmers (44.4%) by rinsing with only hot water. There are no regulations for container use, and the benefits of using plastic containers include easy handling (4.4%), no rust contamination (22.2%), and no coagulation (26.7%). All respondents say that the size of a container has no effect on oil quality. Table 8 presents the technical characteristics of palm oil storage at the study sites. The main measure to avoid spoilage is to avoid impurify contamination of the oil (44.4%). Transportation from the mill to the storage area involves the use of head loads, wheelbarrows, trucks, and cars. There is no corrosion of storage containers (91.1%) and most farmers (51.1%) monitor the quality of the palm oil during storage. In this monitoring process, a majority (68.9%) depend on sensory attributes and a significant percentage (44.4%) take no steps to prevent microbial contamination of palm oil during storage. For those who do, the measures include the removal of water (13.3%), putting oil only in dry containers (20%), and selling immediately (8.9%). There was a strong negative correlation (r = -0.619, p = 0.000) between those who have experienced palm oil spoilage in storage and preventive steps taken against microbial contamination in storage.
Results of factor analysis of the correlation matrix between the demographic characteristics of the respondents and their responses on palm oil storage are presented in Figure 7. The first two factors explain 43.9% of the observed variations in the results. There is a strong positive association of the respondents’ level of education with age and measures taken to prevent spoilage. The rest of the demographic parameters did not have any significant association with spoilage-related parameters.

3.6. Palm oil yield and yield losses

The factors that affect palm oil yield include the quantity of processing water, mill capacity and function (15.6%), production season and fermentation duration (17.8%), and boiling duration and temperature (15.6%). A majority (82.2%) of the respondents reported that they carried out no innovations to improve palm oil yield. Most common production losses include quality and quantity losses according to 75.6% of the respondents, with 44.4% of the respondents saying there is a 10 to 18% loss due to poor harvest. According to 35.6% of the respondents, one major implication of yield losses is reduced income, and 62.2% of the respondents practice tree planting to mitigate deforestation (Table 9).
Results of correlation analysis of yield and yield loss parameters are presented in Table 10. There was a strong positive correlation between the factors affecting palm oil yield and methods to manage processing (r = 0.479, p = 0.001). A significant negative correlation was observed between the factors affecting palm oil yield and innovations to increase yield (r = -0.471, p = 0.001). Similarly, there was a significant negative correlation between the methods to manage processing and innovations to increase yield (r =-0.410, p = 0.005). The correlation between the most common production losses and methods to manage processing was negative and significant (r = -0.515, p = 0.000). Similarly, there was a strong positive correlation of factors affecting palm oil yield with methods to manage processing (r = 0.479, p = 0.001).
Other factors involved in oil palm production include production costs, marketing and price fluctuations, customary and traditional issues especially land disputes with local authorities (37.8%), and conflicts with development projects by the government on customary lands (57.8%).

3.7. Issues on palm oil production wastes

Table 11 presents issues related to palm oil production waste. Most of empty fruit bunches produced (60%) are burnt and respondents direct POME into pits (37.8%) and streams (20%). Solid waste is mainly burnt, and the major challenge in the collection and transportation of waste is bad road networks (35.6%), with most respondents (40.0%) facing a combination of challenges including the high cost of transportation and shortage of land to dig pits.
Environmental issues related to POME are presented in Table 11. POME (53.3%) constitutes a major waste from the production chain. As more FFBs are processed, more POME will be produced (53.3%). A major impact of palm oil mill effluent is nuisance and the creation of breeding grounds for mosquitoes (53.3%). A majority of the respondents (68.9%) take no action in mitigating the environmental impacts of palm oil mill effluent. Other observations include the production of smoke and its being a nuisance to neighbours, effluent and solid waste dumps that act as breeding grounds for mosquitoes and other pests, as well as odor pollution.
Results of factor analysis of demographic characteristics and environmental, customary, and legal issues are presented in Figure 8. The first two factors contribute 25.3% to explaining the observed variation in the data. There are no clear associations between the different parameters.

4. Discussion

This study revealed that the smallholder oil palm sector in Cameroon is dominated by adult males, mostly married with a significant household size. These characteristics could in part be expected because this is the age bracket of responsibility, wherein the needs of life and family challenges require the men to provide. Cultural aspects are also in play here, especially when it concerns land tenure systems, which culturally favour males over females. The oil palm agribusiness, being land-intensive, requires somebody with access to land to establish, and males fit this profile, as reported by de Vos and Delabre [14] and Mehraban et al. [15]. Indeed, cultural land tenure systems in Cameroon favour men over women in terms of ownership inheritance of land, and our findings corroborate those of Fonjong and Gyapong [16], and suggest that for the most part, the smallholder oil palm plantation sector in Cameroon will remain male-dominated for quite a while. Our findings also hold promise for increasing gender diversification in the sector, considering the significant as though but not dominant proportion (35.6%) of female participation in the smallholder oil palm sector. Ayompe et al. [11] have shown that in Cameroon, land ownership is an important parameter that determines profitability in the oil palm sector. A significant demographic finding of note is that a majority of the respondents have attained at most secondary school education. Typically, the less educated find themselves employed in agriculture, which is actually a very knowledge-intensive sector. This is especially challenging where there is a need for comprehension of deeper issues such as how the sector affects the environment, access to finances, and adoption of innovations, consistent with the findings of Harvey et al. [17]. Subsequently, we attempt to assess the relationship of demographic strata with oil palm production and processing variables.
Most smallholders in the oil palm sector in Cameroon have over 21 years of farming experience, which is correlated with their appropriate variety selection and knowledge of key parameters, such as when to plant in new fields, the economic lifespan of the plantations, pruning frequencies, and perception of farm-related risks among other technical considerations raised. Fosso and Nanfosso [9] have shown that farmers’ age, education, and farm sizes are key determinants in the adoption of agricultural innovations in the West Region of Cameroon, which is consistent with the findings of Mbosso et al. [10] in Southern Cameroon. Indeed, factor analyses of the correlation matrix in terms of oil palm production characteristics in the study sites indicates that the farmers’ level of education, level of experience in the farm, and farmers’ age are key determinants of access to farm finances, production per season, and labour safety in the plantations.
State research institutions and parastatal oil palm production enterprises are pre-eminent to the survival of small-scale oil palm producers in the study sites; IRAD, SOCAPALM, and PAMOL jointly provide over 75% of the seeds for plantation establishment by smallholders. Our study suggests a need for continued state support for the oil palm sector and shows that the state has been instrumental in some way to the growth observed in the sector. Improved palm seeds are expensive compared with the palm oil output per season. It is clear that few smallholders have the capacity for high palm oil output, but cost considerations of improved seeds could be an issue as is the case with other innovations [10]. Indeed, our findings indicate that a majority of the respondents experience a limited output, which they attribute to the lack of finances, failure to apply fertilizers, and failure to prune palm trees. The latter could be in some way related back to the lack of finances for the sector.
In the production chain for oil palm, deforestation is always present; distribution of land uses prior to plantation establishment shows that about 47% of smallholder oil palm plantations surveyed have replaced pristine forests. Land clearing is an indispensable step in oil palm plantation establishment because the seedlings are poor competitors for light (if shaded) and nutrients (if crowded with weeds or other plants). Alternative planting solutions that do not involve deforestation are rare. The FAO suggests that oil palm contributes 5% to tropical deforestation, whereas the European Commission revealed that oil palm contributes 2.3% to global deforestation. The negative effects of tropical deforestation on climate change, water resources, soil erosion, and public health have been well established e.g., Lawrence et al. [18]. The dominant proposed measure in the face of deforestation is mitigation, and our findings show that over one-third of the respondents mitigate deforestation by planting economic trees and adopting cropping systems that could act as net sinks for carbon; this is a popular solution in the face of deforestation and climate change [19].
Palm oil processing is a key step for up–scaling profits from the enterprise, as sales of crude palm oil earn far more profits than that of FFBs [11]. Like all other crops, processing adds value to the produce and crude palm oil sells for more because it has multiple uses – in culinary, cosmetic, chemical and confectionary industries, just to name a few. Through this survey, we have ascertained the state of smallholder processing in the study sites, which are artisanal at best. Although the farmers demonstrate deep knowledge of the milling process, they report the that lack of finances remains a key challenge in the sector. The cost of acquiring an artisanal mill of reasonable capacity is high, and so the adoption rate of innovations in this regard has been low, consistent with the findings of Mbosso et al. [10].
During processing, some hygiene and health considerations are necessary. The oil palm sector is fraught with health hazards that range from possible accidents and physiological diseases. This is due to exposure to agrochemicals especially herbicides, heat shock, and burns during milling processes as well as musculoskeletal injuries from lifting heavy weights in the course of palm oil packaging and storage. This is consistent with the findings of Mayzabella et al. [20]. Our findings indicate that a majority of the respondents clean their nuts to a certain degree before processing, but this is challenging especially in larger–scale smallholdings. Another consideration is the treatment of the milling effluent, which can be the breeding ground of disease vectors such as the Anopheles mosquitoes that transmit the malaria parasite. Such a treatment would reduce malaria incidence among the workers and surrounding inhabitants. To prevent health–related complications from the palm plantation work, workers drink extracts of V. amygdalina and C. papaya leaves with milk, practice worker rotation, and wear protective clothing. Extracts of V. amygdalina and C. papaya are popular ethnomedicines in most parts of Africa, known for their efficacy against malaria, hypertension, diabetes, and other health conditions [21,22]. However, workers (75.6%) still become ill, and when this happens, a majority of them have to pay their own bills. There is little or no social security in the smallholder plantation sector in Cameroon. Nationwide, the use of health insurance is not mandated, and existing schemes are still in their infancy. There is little support for smallholders for promoting hygiene, and correlation analysis revealed that if this support were provided, health risks would be minimised.
Plastic containers of various sizes are used to store crude palm oil and farmers mainly consider their ease of use and the lack of possible rust contamination as the criteria for selecting them. Other considerations include avoiding spoilage during storage through regular monitoring, and this depends directly on the age of the farmer and the level of education, consistent with the findings of Fosso and Nanfosso [9] on the importance of these demographics in the farming sector.
Management of waste from palm oil production operations is essential for neighbours to accept these artisanal mills within their vicinities. This is an issue of concern in several other countries where palm oil is produced. Deforestation, solid waste disposal, palm oil mill effluent, the related odour pollution, and others are notes in the study sites, prompting most neighbours to complain at least sometimes. Qaim et al. [23] reported similar findings in a review of works from several Asian countries. Similar findings have been reported across several plantations in East Kalimantan [24], which these point to the fact that at the artisanal level, smallholders usually lack the financial and technological needs for effective palm oil waste management, waste valorization, or palm oil mill effluent disposal are beyond the financial means of the smallholders. Most smallholder oil palm farmers reported that they lack access to both formal and informal financing.
The main essence of oil palm plantations is the production of crude palm oil, either for direct domestic use or for further processing in industries. Therefore, minimis production and processing losses is essential. Our findings have revealed various factors that decrease oil yield, including the quantity of water used, mill capacity, the production season, fermentation duration, boiling duration, and temperature. Efficient management of these processes is directly related to the farmers experience and level of education. There were strong negative correlations between factors affecting palm oil yield and the adoption of innovations to increase yield, and between the adoption of methods to manage palm oil processing and most common production losses. This further highlights the importance of demographics in postharvest yield and losses [25].

5. Conclusions

In this study, we have characterised the smallholder oil palm production sector in Cameroon. We found that the demographic characteristics of the population affected only a few of the production, processing, storage, and other parameters examined in this study. The sector is rich in experienced manpower but is plagued by poor access to land and finances and the lack of state intervention in key areas. Employees’ health and safety remain key concerns, as are problems of waste management in the sector. Waste management issues are directly linked to access to finances and state intervention. These results provide a framework for better policymaking in the sector. It is recommended that specific programmes for the smallholder oil palm sector that currently exist under the Ministry of Agriculture and Rural Development should be scaled up. The education of smallholders as well as financial assistance to modernise processing should be encouraged. These would go a long way to jumpstart the sector and improve profit margins, and consequently, the GDP contribution from the oil palm sector.

Author Contributions

L.M.N: conceptualization, questionnaire design, methodology, field sampling work, data sorting, formal analysis of data, presentation and interpretation of results, investigation, writing—original draft preparation, review, and editing; G.A.A.: conceptualization, questionnaire design, methodology, field sampling work, investigation, interpretation of results and writing—review; R.N.N: conceptualization, questionnaire design, methodology, field sampling work, investigation and writing—review; K.M.: conceptualization, questionnaire design, field sampling work and writing—review; V.A.T.: conceptualization, questionnaire design and field sampling work; E.J.N.: questionnaire design and field sampling work, J.M.: conceptualization, methodology, investigation and writing-review; A.S.T and T.F.: supervision, project administration, conceptualization, questionnaire design, methodology, interpretation of results, investigation, writing—review, and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This study was partially supported by the Mission Acceleration Research Fund on the Strategic Research Area for Sustainable Development in East Asia (SRASDEA), Saitama University in FY2022 and FY2023 (Q3100MK3-53201).

Institutional Review Board Statement

Not applicable.

Data availability statement

Data relevant to this manuscript will be available upon request from the corresponding author.

Acknowledgments

The authors thank the respondents who participated in this study.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

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Figure 1. Map showing the distribution of study sites in the Centre (top) and Littoral (bottom) Regions.
Figure 1. Map showing the distribution of study sites in the Centre (top) and Littoral (bottom) Regions.
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Figure 2. Sources of seeds (A) and mean production of palm oil per season (B) by smallholders in Cameroon. Bars represent mean frequencies ± 95% confidence level.
Figure 2. Sources of seeds (A) and mean production of palm oil per season (B) by smallholders in Cameroon. Bars represent mean frequencies ± 95% confidence level.
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Figure 3. Production of palm oil and associated waste generation and disposal in smallholders’ farms in Cameroon.
Figure 3. Production of palm oil and associated waste generation and disposal in smallholders’ farms in Cameroon.
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Figure 4. Respondents’ perspectives on measures to curb the problems of deforestation (A) and land uses prior to plantation establishment (B) in Cameroon. Bars represent mean frequencies ± 95% confidence level.
Figure 4. Respondents’ perspectives on measures to curb the problems of deforestation (A) and land uses prior to plantation establishment (B) in Cameroon. Bars represent mean frequencies ± 95% confidence level.
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Figure 5. Factor analysis of respondents’ demographic characteristics with oil palm production characteristics. Blue rings indicate variables that are strongly associated; the lengths of the red lines indicate the strengths of the variables within the association; PA = plantation age, LE = level of experience, OFL = ownership of family land, M_FBB = market for FFBs, A_IF = access to informal finance, LH = labour for harvest, PPS = production per season, LS = labour safety, LED = level of education, M_FF = modes of farm financing, RA = replanting age, RAPP = rates of application, FT = fertilizer type, TL = types of labour, AC = access to credit, SP = source of processing, SA = soil amendment, IL = incentives to labour, SFL = source of farmland, FFB_Y = FFB, DC = duration in community, OL = origin of labour.
Figure 5. Factor analysis of respondents’ demographic characteristics with oil palm production characteristics. Blue rings indicate variables that are strongly associated; the lengths of the red lines indicate the strengths of the variables within the association; PA = plantation age, LE = level of experience, OFL = ownership of family land, M_FBB = market for FFBs, A_IF = access to informal finance, LH = labour for harvest, PPS = production per season, LS = labour safety, LED = level of education, M_FF = modes of farm financing, RA = replanting age, RAPP = rates of application, FT = fertilizer type, TL = types of labour, AC = access to credit, SP = source of processing, SA = soil amendment, IL = incentives to labour, SFL = source of farmland, FFB_Y = FFB, DC = duration in community, OL = origin of labour.
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Figure 6. Hygienic practices (A) and knowledge on ways to minimise air and water pollution (B) during the milling of palm oil. Bars represent mean frequencies ±95% confidence level.
Figure 6. Hygienic practices (A) and knowledge on ways to minimise air and water pollution (B) during the milling of palm oil. Bars represent mean frequencies ±95% confidence level.
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Figure 7. Factor analysis of respondents’ demographic characteristics with palm oil storage attributes. The blue ring indicates variables that are strongly associated; the lengths of the red lines indicate the strengths of the variables within the association; LED = level of education, MPS = measures to prevent spoilage, EPOS = experienced spoilage in storage, DC = duration in community, BSC = benefits of using specific containers, PSM = preventive steps against microbial contamination.
Figure 7. Factor analysis of respondents’ demographic characteristics with palm oil storage attributes. The blue ring indicates variables that are strongly associated; the lengths of the red lines indicate the strengths of the variables within the association; LED = level of education, MPS = measures to prevent spoilage, EPOS = experienced spoilage in storage, DC = duration in community, BSC = benefits of using specific containers, PSM = preventive steps against microbial contamination.
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Figure 8. Factor analysis of associations of respondents’ demographic characteristics with labour, uses, and cultural and legal considerations. The lengths of the red lines indicate the strengths of the variables within the association; LED = level of education, LTOP = land tenure and the oil palm industry, IS = indicators of spoilage, BPQ = brand names and palm oil quality, CMLF = customary and modern legal frameworks, CPW = compensation modes for palm work, CCTW = challenges in collection and transportation of waste, EPO = how to ensure purchase of oil, CH = cost per hectare, TIS = technology, innovation, and safety, DC = duration in community, MSW = management of solid waste, IME = impact of palm mill effluent, RWP = health risks of working in processing, UP = main uses of palm oil, UEF = use of empty fruit bunches, APM = sustainable alternative production methods, SSILP = social sustainability and improved labour practices.
Figure 8. Factor analysis of associations of respondents’ demographic characteristics with labour, uses, and cultural and legal considerations. The lengths of the red lines indicate the strengths of the variables within the association; LED = level of education, LTOP = land tenure and the oil palm industry, IS = indicators of spoilage, BPQ = brand names and palm oil quality, CMLF = customary and modern legal frameworks, CPW = compensation modes for palm work, CCTW = challenges in collection and transportation of waste, EPO = how to ensure purchase of oil, CH = cost per hectare, TIS = technology, innovation, and safety, DC = duration in community, MSW = management of solid waste, IME = impact of palm mill effluent, RWP = health risks of working in processing, UP = main uses of palm oil, UEF = use of empty fruit bunches, APM = sustainable alternative production methods, SSILP = social sustainability and improved labour practices.
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Table 1. Demographic characteristics of respondents.
Table 1. Demographic characteristics of respondents.
Parameter Frequency Percent Parameter Frequency Percent
Sex Status
Male 29 64.4 Single 10 22.2
Female 16 35.6 Married 21 46.7
Total 45 100 Free Union 1 2.2
Age group Widow 13 28.9
20–30 10 22.2 Total 45 100
31–40 15 33.3 Religion
41–50 7 15.6 Catholicism 9 20
51–60 6 13.3 Protestantism 30 66.7
>60 7 15.6 Pentecostalism 1 2.2
Total 45 100 Islam 5 11.1
Education Total 45 100
Primary 23 51.1 Duration in Community
Secondary 14 31.1 < 5 years 4 8.9
Higher 5 11.1 5 – 9 years 10 22.2
Vocational 3 6.7 >10 years 28 62.2
Total 45 100 Since birth 3 6.7
IGAs Total 45 100
Yes 34 75.6 Occupation
No 11 24.4 Farming / fishing 34 75.6
Total 45 100 Trading 1 2.2
Employe 10 22.2
Total 45 100
*IGAs = Income generating activities.
Table 2. Technical characteristics of oil palm production and harvesting.
Table 2. Technical characteristics of oil palm production and harvesting.
Parameter Frequency Percent
Level of experience in palm farming
 21-30 years 22 48.9
Suitable planting season
 Rainy season 43 95.6
Farm size
 0-5 ha 28 62.2
Variety grown
 Both dura and Tenera 21 46.7
Reason for choice of variety
Based on experience 21 46.7
Variety with respect to yield
 Tenera provides higher oil yield than Dura 36 80
Knowledge on improved varieties
 New breed of Tenera from SOCAPALM 17 37.8
 No idea 28 62.2
Prunning frequency
 Prune twice a year for old trees, thrice for young 31 68.9
Harvest volumes in relation to months
 Low, June to Dec; medium, none; high, Jan to May 29 64.4
Harvesting equipment
 Both chisel and Malayan knife 26 57.8
Harvesting methods
 Manual 45 100
Harvesting risks
 Accidents, health issues, cost 45 100
*The table is a summary of individual tables for each parameter. Values in the table for each parameter represents the most frequent responses from the entire set.
Table 3. Oil palm production and land tenure characteristics of smallholders’ farms surveyed in Cameroon.
Table 3. Oil palm production and land tenure characteristics of smallholders’ farms surveyed in Cameroon.
Parameter Frequency Percent
Factors affecting production
 No fertilizer application and management 29 64.4
Pest and disease management
 None 43 95.6
Use of sustainable practices
 No 23 51.1
 Total 45 100
Age of farm
 11–20 years 27 60.0
Economic age for replanting
 21–40 years 35 77.8
Trained on sustainable production
 No 42 93.3
Source of farmland
 Rented land 14 31.1
 Bought land 18 40.0
Ownership of household land
 Male adult 28 62.2
Relief of farm
 Flat 20 44.4
Desire for more land for expansion
 Yes 43 95.6
*The table is a summary of individual tables for each parameter. Values in the table for each parameter represent the most frequent responses from the entire set.
Table 4. Transportation and other postharvest considerations in oil palm production and management.
Table 4. Transportation and other postharvest considerations in oil palm production and management.
Parameter Frequency Percent
State of farm roads
 Poor 6 13.3
 Bad 32 71.1
 Very bad 7 15.6
Total 45 100
Source of processing of FFBs
 Own artisanal mills 25 55.6
 Other artisanal mills 20 44.4
Total 45 100
Market for FFBs
 In own mills 30 66.7
 Sell to intermediaries 15 33.3
Total 45 100
Table 5. Technical considerations in palm oil processing among smallholders in Cameroon.
Table 5. Technical considerations in palm oil processing among smallholders in Cameroon.
Parameter Frequency Percent
Storage method
 Bare floor 45 100
Method of separating nuts
 Whole bunches, fermentation, and shredding, 2nd-fermentation 27 60.0
Source of mills
 Bought 22 48.9
Cost of mills
 3 Million 19 42.2
Duration (years) of use
 5-20 27 60.0
Type of mill
 Others 36 80.8
Capacity
 1 ton FFBs (160-200 L oil) 21 46.7
Efficiency factors
 Machine extraction rate 14 31.1
 Machine age 17 37.8
Oil characteristics
 Dura produces good quality palm oil 8 17.8
 Tenera yields more palm oil 3 6.7
 All 29 64.4
Stages and inputs
 Fermentation, boiling, digestion, pressing, clarification, boiling 28 62.2
Measurement of inputs
 tonnage of FFBs (32 sacks=1 ton), unquantified water, no chemicals 21 46.7
 tonnage of FFBs (200 L=1 ton), unquantified water, no chemicals 15 33.3
Challenges and risks
 FFB weight is based on estimation, and fruit and oil burn when water is insufficient 38 84.4
Equipment maintenance
 Use hot water for cleaning without detergent 45 100
Challenges in adopting modern methods
 Lack of finances and maintenance 23 51.1
*The table is a summary of individual tables for each parameter. Values in the table for each parameter represent the most frequent responses from the entire set.
Table 6. Health hazards and related attributes in smallholders’ oil palm plantations.
Table 6. Health hazards and related attributes in smallholders’ oil palm plantations.
Parameter Frequency Percent
Prevention of health risks
 Drink extracts from bitter leaf and pawpaw leaves with milk 14 31.1
History of health problems
 Yes 34 75.6
Regulations and guidelines
 None 43 95.6
Support in promoting hygiene
 Souza council checks on sanitary conditions of workers 27 60.0
Protection from heat and smoke exposures
 Protective clothes and face masks 20 44.4
Payment of workers bills
 Workers pay themselves 29 64.4
Table 7. Spearman rank correlation analysis results showing relationships between health-related variables.
Table 7. Spearman rank correlation analysis results showing relationships between health-related variables.
Health risks Prevention of health risks History of health problems Support in promoting hygiene
Prevention of health risks -0.009
0.952
History of health problems 0.201 -0.196
0.186 0.198
Support in promoting hygiene -0.432** 0.486** -0.464**
0.003 0.001 0.001
Protection from exposure 0.262 -0.114 0.223 -0.190
0.082 0.457 0.140 0.210
Values in the top cell represent r, the Spearman rank correlation coefficient; values in the bottom cell represent p, the level of significance. Significant correlations exist where p <0.01.
Table 8. Technical considerations during storage of palm oil across the study sites.
Table 8. Technical considerations during storage of palm oil across the study sites.
Parameter Frequency Percent
Measures to prevent spoilage
 Prevent impurity contamination of the oil 20 44.4
Corrosion of storage containers
 None 41 91.1
Monitor quality during storage
 Yes 23 51.1
Quality attributes considered in monitoring
 Sensory qualities 31 68.9
Preventive steps against microbial contamination during storage
 None 20 44.4
Table 9. Characteristics of production and yield losses in smallholders’ plantations.
Table 9. Characteristics of production and yield losses in smallholders’ plantations.
Parameter Frequency Percent
Most common production losses
 Quality and quantity losses 34 75.6
Percentage loss due to poor harvest
 10-18% 20 44.4
Implication of yield losses
 Low income 16 35.6
Support to improve yield
 None 45 100
Balance yield and sustainability
 Minimal sustainable practices (tree planting) 28 62.2
Weather patterns and yield
 High rainfall reduces quality and causes erosion 14 31.1
Factors for sustainable production and yield
 Access to finances, good quality nuts, and processing facilities 10 22.2
Table 10. Spearman rank correlation results showing relationships between yield and oil losses-related variables.
Table 10. Spearman rank correlation results showing relationships between yield and oil losses-related variables.
Factors affecting oil yield Method to manage processing Innovations to increase yield
Method to manage processing 0.479**
0.001
Innovations to increase yield -0.471** -0.410**
0.001 0.005
Most common production losses -0.034 -0.515** 0.264
0.825 0.000 0.079
Values in the top cell represent r, the Spearman rank correlation coefficient; values in the bottom cell represent p, the level of significance. **Significant correlations exist when p <0.01.
Table 11. Oil palm waste and its management.
Table 11. Oil palm waste and its management.
Parameters Frequency Percent
Management of empty fruit bunches
 Burning 27 60
Destination of liquid mill waste
 Directed into a pit 17 37.8
Management of solid waste
 Burning 26 57.8
Challenges in collection and transport of waste
 Bad roads 16 35.6
Palm oil effluent
 Liquid waste from FFBs 24 53.3
Variation in impacts of palm oil effluent
 More FFBs processed, more POME 24 53.3
Impact of palm mill effluent
 Nuisance and mosquito breeding grounds 23 51.1
Steps to mitigate environmental impacts of effluent
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