Thieres George Freire da Silva — Papers on Cortexa

crossrefAgriEngineering2026-06-25

Unmanned Aerial Vehicle Remote Sensing and Machine Learning to Predict Productive and Physiological Traits of Forage Cactus in Semi-Arid Forage Systems

Ricardo Macedo da Silva, Mario Adriano Ávila Queiroz, Thieres George Freire da Silva, Juliana Caroline Santos Santana, Stela Antas Urbano, Juliana Cantalino dos Santos, et al.

The use of nondestructive technologies combined with machine learning has emerged as a promising approach for estimating structural and productive traits in agricultural systems. This study evaluated the potential of Unmanned Aerial Vehicle (UAV) imagery integrated with the Rando…

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Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned Aerial Vehicles

The objective of this study was to correlate the biophysical parameters of forage cactus with visible vegetation indices obtained by unmanned aerial vehicles (UAVs) and predict them with machine learning in different agricultural systems. Four experimental units were conducted. U…