Research on the Inversion of Chlorophyll Content in Maize Leaves at Different Growth Stages Based on Machine Learning
Artificial Intelligence|更新时间:2025-05-21
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Research on the Inversion of Chlorophyll Content in Maize Leaves at Different Growth Stages Based on Machine Learning
“In the field of precision agriculture, researchers have utilized unmanned aerial vehicle multispectral remote sensing technology, combined with grey relational analysis and machine learning models, to achieve efficient monitoring of corn chlorophyll content, providing a new method for crop yield and quality management.”
AN Xuelan,NIE Zhigang,LI Guang,et al.Research on the Inversion of Chlorophyll Content in Maize Leaves at Different Growth Stages Based on Machine Learning[J].Software Guide,2025,24(05):62-69.
AN Xuelan,NIE Zhigang,LI Guang,et al.Research on the Inversion of Chlorophyll Content in Maize Leaves at Different Growth Stages Based on Machine Learning[J].Software Guide,2025,24(05):62-69. DOI: 10.11907/rjdk.241132.
Research on the Inversion of Chlorophyll Content in Maize Leaves at Different Growth Stages Based on Machine Learning