Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce yield (fresh weight) prediction using four machine learning (ML) models, namely, support vector regressor (SVR), extreme gradient boosting (XGB),...

Descripción completa

Detalles Bibliográficos
Autores principales: Mokhtar, Ali, El-Ssawy, Wessam, He, Hongming, Al-Anasari, Nadhir, Sammen, Saad Sh., Gyasi-Agyei, Yeboah, Abuarab, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928436/
https://www.ncbi.nlm.nih.gov/pubmed/35310645
http://dx.doi.org/10.3389/fpls.2022.706042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928436/
https://www.ncbi.nlm.nih.gov/pubmed/35310645
http://dx.doi.org/10.3389/fpls.2022.706042

Ejemplares similares