Order Article Reprints

Silva RMd, Queiroz MAÁ, Silva TGFd, Santana JCS, Urbano SA, Santos JCd, Santos WMd, Gurgel ALC, Chagas FPTd, Rezende FdA, et al. Unmanned Aerial Vehicle Remote Sensing and Machine Learning to Predict Productive and Physiological Traits of Forage Cactus in Semi-Arid Forage Systems. AgriEngineering. 2026; 8(7):261. https://doi.org/10.3390/agriengineering8070261

Silva, Ricardo Macedo da, Mario Adriano Ávila Queiroz, Thieres George Freire da Silva, Juliana Caroline Santos Santana, Stela Antas Urbano, Juliana Cantalino dos Santos, Wagner Martins dos Santos, Antonio Leandro Chaves Gurgel, Felipe Pontes Teixeira das Chagas, Fábio dos Anjos Rezende, and et al. 2026. "Unmanned Aerial Vehicle Remote Sensing and Machine Learning to Predict Productive and Physiological Traits of Forage Cactus in Semi-Arid Forage Systems" AgriEngineering 8, no. 7: 261. https://doi.org/10.3390/agriengineering8070261

Silva, R. M. d., Queiroz, M. A. Á., Silva, T. G. F. d., Santana, J. C. S., Urbano, S. A., Santos, J. C. d., Santos, W. M. d., Gurgel, A. L. C., Chagas, F. P. T. d., Rezende, F. d. A., & Emerenciano Neto, J. V. (2026). Unmanned Aerial Vehicle Remote Sensing and Machine Learning to Predict Productive and Physiological Traits of Forage Cactus in Semi-Arid Forage Systems. AgriEngineering, 8(7), 261. https://doi.org/10.3390/agriengineering8070261