Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing

Although monitoring insect pest populations in the fields is essential crop management, it still a laborious and sometimes ineffective process. Imprecise decision-making an integrated management program may lead to control infested areas or excessive use of insecticides. In addition, high infestation levels diminish photosynthetic activity soybean, reducing their development yield. Therefore, we proposed that soybean could be identified classified field using hyperspectral proximal sensing. Thus, goals this study were investigate discriminate reflectance characteristics non-infested with Bemisia tabaci sensing data. cages placed over plants commercial artificial whitefly infestations created. Later, samples leaves collected transported laboratory obtain curves. The results allowed us different separate healthy from based on reflectance. conclusion, these show can potentially used monitor fields.