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Detecting Key Factors of Grasshopper Occurrence in Typical Steppe and Meadow Steppe by Integrating Machine Learning Model and Remote Sensing Data
SIMPLE SUMMARY: Grasshoppers are among the most dangerous agricultural pests of China. However, the monitoring, prediction and control of grasshoppers are complex and difficult. Therefore, it is crucial to detect the key factors affecting the spatial distribution of grasshopper occurrence, understan...
Autores principales: | Lu, Longhui, Kong, Weiping, Eerdengqimuge, Ye, Huichun, Sun, Zhongxiang, Wang, Ning, Du, Bobo, Zhou, Yantao, Weijun, Huang, Wenjiang |
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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/PMC9603866/ https://www.ncbi.nlm.nih.gov/pubmed/36292842 http://dx.doi.org/10.3390/insects13100894 |
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