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资源类型: 外文期刊
作者:Zhen Chen(精确检索)
作者:Weiguang Zhai(精确检索)
作者:Qian Cheng(精确检索)
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1Remote sensing-based analysis of yield and water-fertilizer use efficiency in winter wheat management

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来源:Agricultural Water Management

关键词: Remote sensing Spectral features Texture features Water-fertilizer use efficiency Winter wheat

2Enhancing winter wheat plant nitrogen content prediction across different regions: Integration of UAV spectral data and transfer learning strategies

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来源:Computers and Electronics in Agriculture

关键词: Gaussian process regression Plant nitrogen content Transfer learning Unequal-weight strategy

3Enhancing maize LAI estimation accuracy using unmanned aerial vehicle remote sensing and deep learning techniques

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来源:Artificial Intelligence in Agriculture

关键词: Convolutional neural networks Crop height Multi-source feature fusion Spectral features Texture features

4Precision estimation of winter wheat crop height and above-ground biomass using unmanned aerial vehicle imagery and oblique photoghraphy point cloud data

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来源:Frontiers in Plant Science

关键词: above-ground biomass accumulated incremental height crop height unmanned aerial vehicle vegetation indices

5Multi-random ensemble on Partial Least Squares regression to predict wheat yield and its losses across water and nitrogen stress with hyperspectral remote sensing

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来源:Computers and Electronics in Agriculture

关键词: Breeding Hyperspectral Machine learning Model transfer Yield prediction

6Exploring Multisource Feature Fusion and Stacking Ensemble Learning for Accurate Estimation of Maize Chlorophyll Content Using Unmanned Aerial Vehicle Remote Sensing

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来源:Remote Sensing

关键词: chlorophyll content feature fusion maize stacking unmanned aerial vehicle

7CatBoost algorithm for estimating maize above-ground biomass using unmanned aerial vehicle-based multi-source sensor data and SPAD values

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来源:Computers and Electronics in Agriculture

关键词: Above-ground biomass CatBoost Maize SPAD values Unmanned aerial vehicle

8Estimation of Nitrogen Content in Winter Wheat Based on Multi-Source Data Fusion and Machine Learning

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来源:Agriculture-Basel

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