Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction

The integrated use of remote sensing technology and machine learning models to evaluate cultivated land quality (CLQ) quickly and efficiently is vital for protecting these lands. The effectiveness of machine-learning methods can be profoundly influenced by training samples. However, in the existing...

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Detalles Bibliográficos
Autores principales: Li, Chengqiang, Wang, Junxiao, Ge, Liang, Zhou, Yujie, Zhou, Shenglu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265545/
https://www.ncbi.nlm.nih.gov/pubmed/35805439
http://dx.doi.org/10.3390/ijerph19137781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265545/
https://www.ncbi.nlm.nih.gov/pubmed/35805439
http://dx.doi.org/10.3390/ijerph19137781

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