FRUIT PRODUCTION MAPPING SYSTEM: TESTS AND TECHNOLOGICAL ADJUSTMENTS

Abstract

We address the importance of Brazilian agriculture as a fundamental sector for the country's economic growth. With a significant share of the national GDP, agriculture requires technological advances to increase crop production in a sustainable way. Precision agriculture (PA) emerges as a solution, treating cultivation areas in an individualized way with advanced technologies, such as harvesters with autopilot, sensors, drones and GNSS receivers. It focuses on the development of an embedded system to map the productivity of fruit plant crops. We used a device with GPS, RFID and memory card storage, controlled by an ESP32 microcontroller and programmed into the Arduino IDE. The system tracks the manual harvesting of fruits, recording location and quantity data. We successfully tested the system on the bench, with the integration of the Arduino IDE hardware and code. The project aims to collect data for geostatistical analysis, optimizing the management of inputs and human resources. We observed challenges in the Arduino IDE interface and charging system, which deserve future attention. We hope that this work will contribute to increasing productivity and reducing costs in agriculture, promoting a more efficient management of cultivated areas.