Titlebook: Computer and Computing Technologies in Agriculture XI; 11th IFIP WG 5.14 In Daoliang Li,Chunjiang Zhao Conference proceedings 2019 IFIP Int

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Comparison of Remote Sensing Estimation Methods for Winter Wheat Leaf Nitrogen Content,ility of three inversion models, the robustness tests were conducted based on the independent data sets under three different conditions in 2015/2016. The result showed that the RFR model had the best estimation accuracy among the three models, and the value of R. and RMSE in modeling set respective

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Computer and Computing Technologies in Agriculture XI11th IFIP WG 5.14 In

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IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/c/image/234352.jpg

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Sprucing Up Content with Spry Widgets,n dynamic monitor drought at a great range of scale, the research on agricultural drought monitoring has been an important issue. This paper introduces the principle of agricultural drought monitoring based on remote sensing technology, and reviews the current remote sensing approaches in drought mo

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