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Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method.

L. Liu, Y. Dong, W. Huang, X. Du, J. Luo, Y. Shi, and H. Ma. Remote Sensing, 11 (3): 298 (2019)

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Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM.W. Huang, J. Luo, J. Zhao, J. Zhang, and Z. Ma. IGARSS, page 1830-1833. IEEE, (2011)Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method.L. Liu, Y. Dong, W. Huang, X. Du, J. Luo, Y. Shi, and H. Ma. Remote Sensing, 11 (3): 298 (2019)An ecological based sustainability assessing system for cropping system.J. Zhang, J. Wang, X. Gu, J. Luo, W. Huang, and K. Wang. Mathematical and Computer Modelling, 54 (3-4): 1160-1166 (2011)Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression.X. Li, Y. Zhang, Y. Bao, J. Luo, X. Jin, X. Xu, X. Song, and G. Yang. Remote Sensing, 6 (7): 6221-6241 (2014)Detection and discrimination of pests and diseases in winter wheat based on spectral indices and kernel discriminant analysis.Y. Shi, W. Huang, J. Luo, L. Huang, and X. Zhou. Comput. Electron. Agric., (2017)A New Method for Modifying Thresholds in the Classification of Tree Models for Mapping Aquatic Vegetation in Taihu Lake with Satellite Images.J. Luo, R. Ma, H. Duan, W. Hu, J. Zhu, W. Huang, and C. Lin. Remote Sensing, 6 (8): 7442-7462 (2014)Discriminating wheat aphid damage level using spectral correlation simulating analysis.W. Huang, J. Luo, Q. Guan, J. Zhao, and J. Zhang. IGARSS, page 3722-3725. IEEE, (2013)Mapping species of submerged aquatic vegetation with multi-seasonal satellite images and considering life history information.J. Luo, H. Duan, R. Ma, X. Jin, F. Li, W. Hu, K. Shi, and W. Huang. Int. J. Applied Earth Observation and Geoinformation, (2017)Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons.X. Li, Y. Zhang, J. Luo, X. Jin, Y. Xu, and W. Yang. Int. J. Applied Earth Observation and Geoinformation, (2016)The Crop Disease and pest Warning and Prediction System.J. Luo, W. Huang, J. Wang, and C. Wei. CCTA (2), volume 294 of IFIP Advances in Information and Communication Technology, page 937-945. Springer, (2008)

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Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method.

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Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method.