Submitted:
17 July 2024
Posted:
18 July 2024
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Abstract
Keywords:
1. Introduction
2. Background of 5G
3. Implementation of Existing Technology in Bangladesh & Beyond
3.1. How 5G Technology Is Being Used around the World in the Agricultural Sector?
3.2. Local Lens: 5G Tech Implementation in Bangladesh’s Agricultural Sector
4. Comparative Analysis
4.1. Comparative Analysis: 5G vs. Existing Technology in Bangladeshi Agriculture
- Effectiveness: To what extent does each technology address critical agricultural challenges and contribute to improved outcomes?
- Efficiency: How cost-effective is each technology, considering initial investments, operational costs, and return on investment (ROI)?
- Scalability: Can the technology be readily scaled up and adapted to diverse agricultural contexts and geographies within Bangladesh?
- Ease of Implementation: How complex is the technology to implement, taking into account existing infrastructure limitations in rural areas?
| Aspects | 5G Technology | 4G Mobile Networks | Drones | LoRaWAN |
|---|---|---|---|---|
| Effectiveness | *High potential for precision agriculture, real-time monitoring, and automation, leading to increased yields and resource efficiency. * Can support advanced applications like smart farming and pest control. |
* Enables access to market information, weather updates, and extension services, improving decision-making. * Supports basic data collection and communication. |
* Provides aerial insights for crop health monitoring, disease detection, and precision spraying. * Effective for targeted interventions and rapid data acquisition. |
* Suitable for long-range, low-power monitoring of environmental conditions and remote assets. * Supports basic data transmission for irrigation management and soil analysis. |
| Efficiency | * High initial infrastructure investment and device costs. * Operational costs may be higher due to increased data usage. * Long-term ROI depends on adoption rate and application development. |
* Relatively lower infrastructure and device costs compared to 5G. * Operational costs depend on data usage but are generally lower than 5G. * ROI dependent on specific applications and user base. |
* High initial investment for drone purchase and training. * Operational costs vary based on flight time and maintenance. * ROI can be high for targeted interventions and precision spraying. |
* Low infrastructure and device costs. * Operational costs are minimal due to low power consumption. * ROI mainly depends on the value of collected data and its economic impact. |
| Scalability | * Requires extensive network infrastructure rollout, particularly in rural areas. * Initial scalability may be limited due to high costs and the digital literacy gap. * Long-term scalability potential is high due to its versatility and network advancements. |
* Relatively good scalability due to existing 4G infrastructure. * Adaptable to diverse contexts but may require network upgrades for advanced applications. |
* Scalability is limited by the operational range and battery life of individual drones. * Requires trained personnel for operation and data analysis. |
* Highly scalable due to low-power and long-range communication capabilities. * Suitable for large-scale deployments in remote areas with minimal infrastructure. |
| Ease of Implementation | * Requires significant infrastructural development and technical expertise. * Integration with existing agriculture practices may require training and adaptation. * Digital literacy among farmers needs to be addressed. |
* Relatively easier to implement due to existing infrastructure and user familiarity. * Integration with existing practices may be straightforward. * Requires basic digital literacy for accessing information and services. |
* Requires trained personnel for safe and effective operation. * Data analysis and interpretation may require technical expertise. * Integration with existing systems may require additional equipment and software. |
* Easier to implement due to minimal infrastructure requirements. * Low power consumption makes it suitable for remote areas with limited power access. * Integration with existing systems may require data conversion and compatibility adjustments. |
4.2. Comparative Analysis: 5G in Bangladeshi Agriculture vs. Global Perspective
- Deployment Stage: At what stage is 5G adoption in agriculture for each country?
- Target Applications: What are the primary areas where 5G is being applied in agriculture for each country?
- Challenges: What are the unique challenges each country faces in implementing 5G for agriculture?
- Scalability & Affordability: Can the current solutions be readily scaled up and how does cost-effectiveness compare across countries?
| Country | Deployment Stage | Target Applications | Challenges | Scalability & Affordability |
|---|---|---|---|---|
| Bangladesh | Early Pilot Stage | * Precision agriculture (soil sensors, weather forecasting) * Livestock monitoring (GPS collars, smart fencing) * Drone-based monitoring & spraying |
* Limited rural infrastructure & network coverage * Low digital literacy among farmers * High cost of 5G smartphone devices & data plans |
Focus on implementing 5G technology around the country and decrease data plan price, partnerships for infrastructure development, government subsidies for devices and training |
| China | Advanced Pilot & Commercial Rollout | * Smart greenhouses & farms (climate control, automation) * AI-powered disease detection & crop yield prediction * Agricultural e-commerce & market platforms |
* Vast rural areas with varying infrastructure gaps * Concerns about data privacy & security * Regulatory complexities |
Leveraging existing 4G network for rural reach, government-backed infrastructure projects, data security regulations & farmer training programs |
| Taiwan | Advanced Pilot Stage | * Image Recognition for livestock & crop monitoring * Smart irrigation systems & remote water management * Autonomous weed removal robots |
* Limited agricultural land area * High initial investment for advanced applications * Skilled workforce requirement for technology maintenance |
Collaborations with technology companies for pilot projects, focus on cost-effective AI models & open-source platforms, upskilling programs for farmers |
| Colombia | Early Pilot Stage | * Improved market access & information services for rural farmers * Precision agriculture for coffee & other cash crops * Remote sensing & disease control with drones |
* Fragmented land holdings & diverse landscapes * Lack of technical expertise & digital infrastructure * High cost of 5G spectrum & devices |
Public-private partnerships for infrastructure development, tailored 5G applications for specific crops & regions, financial incentives for early adopters |
| Netherlands | Advanced Pilot & Commercial Rollout | * Precision agriculture with robots & automated machinery * Remote cow monitoring with GPS collars & data analysis * Smart fencing & automated pest control systems |
* Densely populated & intensively farmed land * Balancing technology adoption with environmental sustainability * Integration with existing advanced agricultural practices |
Strong public-private collaboration, focus on knowledge sharing & farmer training, development of interoperable & sustainable technology solutions |
| India | Early Commercial Rollout | * Variable Rate Technologies (VRT) for fertilizer & water management * Drone-based crop health monitoring & pest control * AI-powered market prediction & advisory services |
* Vast agricultural landscape with diverse needs & challenges * Inequality in access to technology & resources * Balancing privacy concerns with data-driven agriculture |
Government pilot projects & subsidies for VRT adoption, public-private partnerships for rural infrastructure & digital literacy programs, focus on affordable & inclusive technology solutions |
4.3. Scope for Improvement: Unlocking 5G’s Potential in Bangladeshi Agriculture
5. Challenges of Implementing 5G Technology in the Agricultural Sector of BD
6. Potential Impact of Implementing 5G Technology in the Agricultural Sector of BD:
7. Conclusion
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