Uso de imagens obtidas por aeronave remotamente pilotada (RPA) no monitoramento da cultura do feijão (Phaseolus Vulgaris)

Abstract

Adequate monitoring is a determinant factor for the decision making of the bean crop management, which can allow the good performance in the field. Nowadays, Remote Sensing has been widely used for the monitoring of crops and in this context, the present work sought to monitor ten bean genotypes (varieties and cultivars) through Remotely Piloted Aircraft (RPAs) to obtain aerial images, which reduces interference, damage and the time of collecting information that is conventionally performed in the field. Through these images, different products were generated, such as the Green Leaf Index (GLI); Visible Atmospherically Resistant Index (VARI); Digital Elevation Model (MDE) and maps of use and occupation that will be generated for later agronomic analysis. The experiment was conducted in the agricultural harvest 2019/2020, in the experimental area of the Universidade Tecnológica Federal do Paraná (UTFPR), Câmpus Dois Vizinhos. The flights to obtain the images were realized every 15 days. A randomized block design with three replicates wass used. Through the present work, evaluations of variables such as contour lines, supervised classification, planting failures, presence of weeds, green leaf index, plant health and crop development evaluations were performed, indicating that the use of products obtained through RPAS is efficient as a tool for decision making related to the bean crop management.