Saltos-Alcivar, W.; Delgado-Marcillo, C.; Zamora-Ledezma, E.; Rivas, C.A.; Pacheco Gil, H.A.
UAV-Borne RGB Imagery and Machine Learning for Estimating Soil Properties and Crop Physiological Traits in Peanut (Arachis hypogaea): A Low-Cost Precision Agriculture Approach. AgriEngineering 2026, 8, 177.
https://doi.org/10.3390/agriengineering8050177
AMA Style
Saltos-Alcivar W, Delgado-Marcillo C, Zamora-Ledezma E, Rivas CA, Pacheco Gil HA.
UAV-Borne RGB Imagery and Machine Learning for Estimating Soil Properties and Crop Physiological Traits in Peanut (Arachis hypogaea): A Low-Cost Precision Agriculture Approach. AgriEngineering. 2026; 8(5):177.
https://doi.org/10.3390/agriengineering8050177
Chicago/Turabian Style
Saltos-Alcivar, Wilson, Cristhian Delgado-Marcillo, Ezequiel Zamora-Ledezma, Carlos A. Rivas, and Henry Antonio Pacheco Gil.
2026. "UAV-Borne RGB Imagery and Machine Learning for Estimating Soil Properties and Crop Physiological Traits in Peanut (Arachis hypogaea): A Low-Cost Precision Agriculture Approach" AgriEngineering 8, no. 5: 177.
https://doi.org/10.3390/agriengineering8050177
APA Style
Saltos-Alcivar, W., Delgado-Marcillo, C., Zamora-Ledezma, E., Rivas, C. A., & Pacheco Gil, H. A.
(2026). UAV-Borne RGB Imagery and Machine Learning for Estimating Soil Properties and Crop Physiological Traits in Peanut (Arachis hypogaea): A Low-Cost Precision Agriculture Approach. AgriEngineering, 8(5), 177.
https://doi.org/10.3390/agriengineering8050177