Ciencias Exactas e Ingenieria Mayo 2021- Abril 2022 Vol.9 No.1 41-45 Aplicación Web para el Procesamiento de Patrones e Imágenes (Back-End) en la Detección de la Enfermedad “Escoba de la Bruja” Iafrut.

Abstract

The agroindustrial sector is one of the few sectors
that has not shown a “relatively” significant advance
that entails the use of commonly used technologies
to improve production.
Introducing mechanisms that help prevent diseases in
crops considerably improves production since the
producer anticipates perhaps catastrophic losses. In
support of this, it is there where image processing,
through Artificial Intelligence, allows data analysis in
tasks of recognition of regularities and patterns in
scenarios and contexts where predictive models are
established that help better decision-making.
This work is in charge of showing the development of
a web application that uses artificial intelligence
tools, with the final goal of the timely detection of
diseases in petacón mango crops in the north region
of the state of Guerrero, Mexico. Several trained
algorithms were previously developed and it was
considered to work with this type of tools, which have
greater advantages.