Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing
Open Access
- 9 January 2021
- Vol. 12 (1), 47
- https://doi.org/10.3390/insects12010047
Abstract
Although monitoring insect pest populations in the fields is essential in crop management, it is still a laborious and sometimes ineffective process. Imprecise decision-making in an integrated pest management program may lead to ineffective control in infested areas or the excessive use of insecticides. In addition, high infestation levels may diminish the photosynthetic activity of soybean, reducing their development and yield. Therefore, we proposed that levels of infested soybean areas could be identified and classified in a field using hyperspectral proximal 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 sensing data. Therefore, cages were placed over soybean plants in a commercial field and artificial whitefly infestations were created. Later, samples of infested and non-infested soybean leaves were collected and transported to the laboratory to obtain the hyperspectral curves. The results allowed us to discriminate the different levels of infestation and to separate healthy from whitefly infested soybean leaves based on their reflectance. In conclusion, these results show that hyperspectral sensing can potentially be used to monitor whitefly populations in soybean fields.Keywords
Funding Information
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2013/22435-9, 2017/19407-4)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (PQI - PROEX)
This publication has 32 references indexed in Scilit:
- The New Integrated Pest Management Paradigm for the Modern AgeJournal of Integrated Pest Management, 2019
- Insecticide resistance and control failure likelihood of the whitefly Bemisia tabaci (MEAM1; B biotype): a Neotropical scenarioAnnals of Applied Biology, 2017
- Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canolaPrecision Agriculture, 2016
- Detection of insect-damaged vegetable soybeans using hyperspectral transmittance imageJournal of Food Engineering, 2013
- Different timing of whitefly control and soybean yieldCiência Rural, 2013
- A GIS‐based approach for areawide pest management: the scales of Lygus hesperus movements to cotton from alfalfa, weeds, and cottonEntomologia Experimentalis et Applicata, 2006
- Discovery and utilization of QTLs for insect resistance in soybeanGenetica, 2005
- Economic Injury Levels in Theory and PracticeAnnual Review of Entomology, 1986
- A Comparison of Three Sampling Methods for Arthropods in Soybeans1Environmental Entomology, 1974
- The integration of chemical and biological control of the spotted alfalfa aphid: The integrated control conceptHilgardia, 1959