AGRICULTURA VERTICAL DE PRECISÃO APLICADA A MICROVERDES DE LENTILHA E GERGELIM: TELEMETRIA AUDITÁVEL, MANEJO LUMINOSO E EFICIÊNCIA ENERGÉTICA DA PRODUÇÃO DE BIOMASSA

Abstract

This thesis investigated artificial lighting strategies and digital infrastructure applied to precision vertical farming, with emphasis on microgreens cultivated under controlled environment conditions. The work integrated two main axes: the evaluation of light spectra and temporal lighting regimes on the physiological and productive performance of microgreens, and the development of an open and auditable IoT architecture for control, monitoring, and experimental data recording in indoor cultivation systems. In the study with lentil microgreens, constant lighting regimes, especially under red, white, and RBW light, favored biomass production and energy efficiency, whereas the Gaussian regime showed greater potential to stimulate carotenoid accumulation. In the study with sesame microgreens, the Precision Vertical Farming System (PVFS) was developed and validated, enabling the execution of dynamic PPFD profiles, environmental and electrical telemetry recording, and the integration of metrics such as Areal Energy Consumption (AEC), Specific Energy Consumption (SEC), and Energy-to-Mass Efficiency (EEMS). The results demonstrated that DLI equivalence does not guarantee equivalent energy performance, with the Red–Constant treatment showing the best energy–biomass relationship. This thesis contributes by demonstrating that precision vertical farming must integrate biological response, energy efficiency, and digital traceability to achieve greater experimental robustness, reproducibility, and operational rationality.