Plataforma Modular de Monitoramento Agroecológico na Amazônia utilizando Rede Sensorial e Infraestrutura de Dados Local

This paper presents a modular agroecological monitoring platform for the Amazon, built on low-cost sensor nodes and a fully local data infrastructure. An ESP32-S3 microcontroller acquires temperature, air humidity (AHT10), and soil moisture (capacitive sensor) at 5,000 ms intervals. Data are stored in InfluxDB via Docker Compose and visualized in real time with Grafana, with no cloud dependency. A complementary Python module tracks lunar phases, bridging ancestral agricultural knowledge with digital monitoring. Preliminary results confirm technical feasibility and social potential for sustainable practices, soil conservation, and wildfire prevention in vulnerable Amazon areas.