Implementación de un sistema para la detección de mancha gris en la hoja de la uchuva

Abstract

A system was implemented to identify the affection percent of the gray spot on the cape gooseberry leaf by means of artificial vision algorithms using a camera, as well as recording and displaying the temperature and humidity on an LCD screen. For this purpose, the Raspberry Pi card was used as a microprocessor, using the Python programming language used to design and apply the artificial vision algorithm through the OpenCV (Open Computer Vision) library. The images taken by the camera are evaluated and processed to see the percentage of affection that the gray spot has on the leaf, and together with the temperature and humidity data correlate this information to observe the impact it has on the leaf of the cape gooseberry plant in order to determine the variables that may affect the percentage of affection of gray spot on the leaf.