Detection and Identification of Diaphorina Citri Through Neural Networks in Tucumán-Argentina

The agricultural industry is one of the economic pillars of Argentina. In the province of Tucumán, citrus cultivation is one of the main productive activities, however, pests represent a constant threat, affecting the yield of crops and production, to the point of losing it completely due to this. There are different methods for detecting and monitoring pests, which adapt to the plantation, terrain, climate; one of the most used tools for monitoring and controlling pests are yellow chromotropic traps, which attract and capture flying insects. Through the use of Convolutional Neural Networks, a system that allows the detection of Diaphorina citri and Drosophila melanogaster in yellow chromotropic traps was developed. The aim of this system is to allow the detection of pests through images of yellow chromotropic traps.