Using UAV Multispectral Remote Sensing with Appropriate Spatial Resolution and Machine Learning to Monitor Wheat Scab
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- Xiaoxin Song & Fei Wu & Xiaotong Lu & Tianle Yang & Chengxin Ju & Chengming Sun & Tao Liu, 2022. "The Classification of Farming Progress in Rice–Wheat Rotation Fields Based on UAV RGB Images and the Regional Mean Model," Agriculture, MDPI, vol. 12(2), pages 1-16, January.
- Elke Bauriegel & Werner B. Herppich, 2014. "Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat," Agriculture, MDPI, vol. 4(1), pages 1-26, March.
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- Shunshun Ding & Juanli Jing & Shiqing Dou & Menglin Zhai & Wenjie Zhang, 2023. "Citrus Canopy SPAD Prediction under Bordeaux Solution Coverage Based on Texture- and Spectral-Information Fusion," Agriculture, MDPI, vol. 13(9), pages 1-23, August.
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Keywords
UAV; diseases monitoring; spatial resolution; wheat; remote sensing; vegetation index; texture features;All these keywords.
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