Trabalho em Anais · Home Editora · Publicado em 30/07/2026

Evaluation of software embedded in automated soil parameter monitoring equipment for precision agriculture

Autoria: Gabriela Nobre Cunha; Marconi Batista Teixeira; Nelmício Furtado da Silva; Fernando Rodrigues Cabral Filho; Edson Cabral da Silva

Publicado em: Fórum Nacional de Publicações Acadêmicas-Ano V/2026-ISSN 2965-9434

DOI: 10.46898/home.ms50wpkjuqt2

Resumo

Managing large volumes of heterogeneous data from sensors requires robust frameworks for data fusion and interoperability. Against this backdrop, the objective was to evaluate the software embedded in equipment designed for the automated monitoring of soil parameters (pH, temperature, electrical conductivity, and soil moisture) for precision agriculture. Following the assembly of the soil monitoring equipment, testing began with benchtop analysis of soil samples, enabling parameter readings, data storage, and data transmission. The soil used for the equipment validation test was classified as a dystroferric Red Latosol (LVdf) with medium texture. To establish the equipment's reliability and validate the results, commercial equipment was used to obtain reference data, which served as the fundamental benchmark for the validation process. To ensure a valid analysis of the parameters measured by the sensors (pH, temperature, conductivity, and soil moisture), calibration was performed using standard solutions to improve measurement accuracy. Software qualification tests were also conducted to verify that the software embedded in the equipment was functioning correctly, reliable, and secure. The code's semantic structure, the choice of library ecosystem, the internal workings of the state machine implemented for circuit reading, and the complex physical temperature compensation strategies demonstrate the efficiency and reliability of the automated soil monitoring system. The autonomous system collects and analyzes soil data measuring pH, temperature, electrical conductivity, and moisture enabling real-time soil assessment and serving as a valuable tool for spatial temporal mapping. Notably, the equipment's capabilities and the specific focus on calibration within the agricultural production environment ensure maximum sensor efficiency.

Palavras-chave

pH, temperature, conductivity, soil moisture, performance