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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...
Autores principales: | Li, Chengqiang, Wang, Junxiao, Ge, Liang, Zhou, Yujie, Zhou, Shenglu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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