Detection of Insects in Images using Convolutional Neural Networks

• Grant number: 23/01009-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2023
• End date: March 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Rodrigo Palucci Pantoni
• Grantee: Otávio Toraça Dias
• Host Institution: Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP). Campus Sertãozinho. Sertãozinho , SP, Brazil

Abstract

Pests of agricultural importance are the species that can compromise the production of cultivated plants. In the case of insects, population control has been carried out by analyzing the collection of individuals in traps, so that they are analyzed for the measurement of insecticides as well as their ideal amount of application. In this sense, the objective of this work is to apply deep learning techniques in Computer Vision using Convolutional Neural Networks in order to detect insects in images, which are captured in the accumulated samples in the traps placed in the plantation.