Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning

Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the environment. Recently, unmanned aerial vehicles (...

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Detalles Bibliográficos
Autores principales: Sun, Chen, Feng, Luwei, Zhang, Zhou, Ma, Yuchi, Crosby, Trevor, Naber, Mack, Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570686/
https://www.ncbi.nlm.nih.gov/pubmed/32947919
http://dx.doi.org/10.3390/s20185293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570686/
https://www.ncbi.nlm.nih.gov/pubmed/32947919
http://dx.doi.org/10.3390/s20185293

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