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…