Diseño e implementación de un prototipo para detectar plagas en los cultivos de arroz utilizando una Raspberry Pi y OpenCV

Abstract

In Ecuador, a country with an important economic contribution in rice agriculture. It highlights the need for early detection of pests to prevent damage to both plants and grains. The project proposes the development of an algorithm that will use a trained model to detect pests such as the white butterfly and the yellow ribbon by means of a camera implemented in a Raspberry Pi 4. Although there are factors that can affect the accurate detection of pests, a Python algorithm will be used with tools such as OpenCV and Ultralytics to achieve the detection objective.