Sistema agroclimático para previsão de safras para pequenos e médios agricultores

Abstract

This work presents PredAgro, a web platform designed to support the agricultural planning of small and medium-sized producers, with a focus on climate risk analysis and productivity estimation. The proposal stems from the need to offer an accessible, explainable, and low-cost solution capable of integrating agrometeorological data, rural property records, and crop-specific agronomic rules. The solution was developed with a React front-end, Node.js back-end, and Firebase persistence, utilizing Firestore for storage and Firebase Authentication for user access. For the climate component, queries were integrated with Open-Meteo—a free, opensource platform for short-term weather forecasting and historical series. In the platform, short-term forecasting supports the field weather view, while agricultural planning uses historical climatology as the basis for the analyzed cycle. The system implements farm and plot registration, geographic mapping, planning by crop and period, risk assessment by category, and the generation of an estimated productivity range. The results demonstrate that the platform produces consistent analyses according to the provided climate scenario, indicating increased risk and reduced estimated productivity in adverse situations, such as drought or intense rainfall, and greater stability in conditions closer to ideal cultivation ranges (according to the specific crop). It is concluded that the proposal fulfills the objective of offering a functional basis for decision support in the agricultural context through an agroclimatic system based on agronomic rules, crop parameters, and historical climatology for planning. Short-term weather forecasting is used only for the field weather view, while the planning report relies entirely on historical climatology.