Soy is one of the main commodities in national agricultural production, with Brazil being the world's largest producer, with a production of 135.4 million tons, productivity 3,517 kg/ha. With a planted area of ​​38.5 million hectares, it is still the world's largest exporter of the grain. Among the main producing states, Mato Grosso stands out as the largest Brazilian producer of soy, with production of 35.9 million tons, planted area of ​​10,374,861 hectares and productivity of 3492 kg/ha. The occurrence of the green stem nematode (NHV), Aphelenchoides besseyi, began to be observed in soybean crops in the states of Maranhão and Tocantins, since the 2005/2006 harvest, causing the symptoms popularly known as Soja Louca II. The causal agent was only identified in 2015 and the description of the disease in the soybean crop was carried out in 2017. Cotton, bean, cowpea and rice crops are also attacked. Favored by its ability to behave both as a phytoparasite and as a saprophyte, A. besseyi is commonly found in the soils of several agroecosystems, but has caused greater damage in the hot and rainy regions of northern Mato Grosso and in the states of Rondônia, Amapá, Pará, Tocantins and Maranhão, estimating an infested area of ​​approximately five million hectares. Symptoms of deformation of leaves, stems and pods are probably triggered by physiological disturbances in the plant, whose mechanisms are not known. It can cause a productivity reduction of up to 100% in the soybean crop, with average losses ranging between 40% and 60%. In the cotton crop, average yield reductions range from 35% to 50%. It also represents a threat to the production of common bean and cowpea, if inserted into the production system in areas infested by NHV.Monitoring nematode populations in the field is essential in crop management, however, it is still a laborious process. The sampling method used for monitoring nematodes in general consists of collecting samples of soil and roots in the area, using zig-zag paths, radially or by quadrants; or even in a targeted way in the reboleiras present in the area. These sampling methods are challenging, considering the vast expanse of soy producing areas in the Midwest region of Brazil. The implementation of remote or proximal sensing technologies brings the benefit of the potential time saved by automating crop monitoring, as observed in pest assessments. It is believed that hyperspectral sensing can potentially be used to monitor the symptoms of this nematode in the field, indicating the areas of occurrence. Thus, the objective of this study will be to investigate and discriminate the reflectance characteristics of soybean, infested and not infested with Aphelenchoides besseyi, using hyperspectral sensing data. (Google translation)