Barros PPS, Schutze IX, Iost Filho FH, Yamamoto PT, Fiorio PR, Demattê JAM. Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing. Insects. 2021; 12(1):47. https://doi.org/10.3390/insects12010047
Barros PPS, Schutze IX, Iost Filho FH, Yamamoto PT, Fiorio PR, Demattê JAM. Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing. Insects. 2021; 12(1):47. https://doi.org/10.3390/insects12010047
Barros PPS, Schutze IX, Iost Filho FH, Yamamoto PT, Fiorio PR, Demattê JAM. Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing. Insects. 2021; 12(1):47. https://doi.org/10.3390/insects12010047
Barros PPS, Schutze IX, Iost Filho FH, Yamamoto PT, Fiorio PR, Demattê JAM. Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing. Insects. 2021; 12(1):47. https://doi.org/10.3390/insects12010047
Abstract
Although monitoring and observing insect pest populations in the fields is essential in crop management, it is still a laborious and sometimes ineffective process. High infestation levels may diminish the photosynthetic activity of soybean plants, affecting their development and reducing the yield. An imprecise decision making in integrated pest management program may lead to an ineffective control in infested areas or the excessive use of insecticides. In order to reach a more efficient control of arthropods population it is important to evaluate the infestation in time to mitigate its negative effects on the crop and remote sensing is an important tool for monitoring. It was proposed that infested soybean areas could be identified, and the arthropods quantified from non-infested areas in a field by hyperspectral remote sensing. Thus, the goals of this study were to investigate and discriminate the reflectance characteristics of soybean non-infested and infested with Bemisia tabaci using hyperspectral remote sensing data. Therefore, samples of infested and non-infested soybean leaves were collected and transported to the laboratory to obtain the hyperspectral curves. The results obtained allowed to discriminate the different levels of infestation and to separate healthy from whitefly infested soybean leaves based on their reflectance.
Keywords
glycine max; sampling; pest management; spectroradiometer
Subject
Biology and Life Sciences, Anatomy and Physiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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