Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices

Accurate crop yield forecasting is essential in the food industry’s decision-making process, where vegetation condition index (VCI) and thermal condition index (TCI) coupled with machine learning (ML) algorithms play crucial roles. The drawback, however, is that a one-fits-all prediction model is of...

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Detalles Bibliográficos
Autores principales: Pham, Hoa Thi, Awange, Joseph, Kuhn, Michael, Nguyen, Binh Van, Bui, Luyen K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840272/
https://www.ncbi.nlm.nih.gov/pubmed/35161461
http://dx.doi.org/10.3390/s22030719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840272/
https://www.ncbi.nlm.nih.gov/pubmed/35161461
http://dx.doi.org/10.3390/s22030719

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