Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data

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Detaylı Bibliyografya
Yayımlandı:	Agriculture vol. 15, no. 13 (2025), p. 1425-1451
Yazar:	Liu, Cong
Diğer Yazarlar:	Wang, Lin, Fu Xuetong, Zhang Junzhe, Wang, Ran, Wang, Xiaofeng, Chai Nan, Guan Longfeng, Chen, Qingshan, Zhang Zhongchen
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	China Physiology Light sources Sensors Measuring instruments Back propagation networks Feature selection Machine learning Crop diseases Chlorophyll Prediction models Canopies Chemical extraction Nitrogen Remote sensing Phenotyping Experiments Rice Fertilizers Multisensor fusion Measurement methods Accuracy Data acquisition Data collection Learning algorithms Nutritional status Vegetation Neural networks Support vector machines Nighttime Night Light Environmental
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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