API de monitoramento agrícola com imagens de satélite

Abstract

Precision agriculture has stood out as a solution to increase agricultural productivity in a sustainable manner, by using advanced technologies to monitor and optimize the use of resources. The tools available for calculating NDVI are often complex or require payment, making access difficult for small and medium-sized producers. Given this scenario, the objective of this study was to create a scalable and accessible API that simplifies the process of obtaining and processing satellite images, allowing the calculation of NDVI for monitoring soil and vegetation health. The API was developed using technologies such as Flask, Nginx, Redis and Docker, supporting multiple simultaneous requests, ensuring agility and efficiency. The results were validated in an agricultural area in Mato Grosso, where the API generated NDVI maps, providing relevant information for agricultural management, such as identifying areas with water stress or pests. The tool proved to be efficient and accessible, facilitating agricultural monitoring in a free and practical manner.