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dblp: Fenfang Lin https://dblp.org/pid/197/5299.html dblp person page RSS feed Sat, 20 Jul 2024 20:32:48 +0200 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Fenfang Linhttps://dblp.org/pid/197/5299.html14451 Early Detection of Rice Sheath Blight Using Hyperspectral Remote Sensing.https://doi.org/10.3390/rs16122047Fenfang Lin, Baorui Li, Ruiyu Zhou, Hongzhou Chen, Jingcheng Zhang

:
Early Detection of Rice Sheath Blight Using Hyperspectral Remote Sensing. Remote. Sens. 16(12): 2047 (2024)]]>https://dblp.org/rec/journals/remotesensing/LinLZCZ24Sat, 01 Jun 2024 01:00:00 +0200 Competitor Intelligence and Product Innovation: The Role of Open-Mindedness and Interfunctional Coordination.https://doi.org/10.1109/TEM.2019.2943359Fenfang Lin

, Richard David Evans

, Rupak Kharel

, Richard Alun Williams

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Competitor Intelligence and Product Innovation: The Role of Open-Mindedness and Interfunctional Coordination. IEEE Trans. Engineering Management 69(2): 314-328 (2022)]]>https://dblp.org/rec/journals/tem/LinEKW22Sat, 01 Jan 2022 00:00:00 +0100 Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging.https://doi.org/10.3390/s20082260Dongyan Zhang, Qian Wang, Fenfang Lin, Xun Yin, Chunyan Gu, Hongbo Qiao:
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging. Sensors 20(8): 2260 (2020)]]>https://dblp.org/rec/journals/sensors/ZhangWLYGQ20Wed, 01 Jan 2020 00:00:00 +0100 Identification of Rice Sheath Blight through Spectral Responses Using Hyperspectral Images.https://doi.org/10.3390/s20216243Fenfang Lin, Sen Guo, Changwei Tan, Xingen Zhou, Dongyan Zhang

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Identification of Rice Sheath Blight through Spectral Responses Using Hyperspectral Images. Sensors 20(21): 6243 (2020)]]>https://dblp.org/rec/journals/sensors/LinGTZZ20Wed, 01 Jan 2020 00:00:00 +0100 Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging.https://doi.org/10.3390/s19183859Xin Zhao, Yitong Yuan, Mengdie Song, Yang Ding, Fenfang Lin, Dong Liang, Dongyan Zhang:
Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging. Sensors 19(18): 3859 (2019)]]>https://dblp.org/rec/journals/sensors/ZhaoYSDLLZ19Tue, 01 Jan 2019 00:00:00 +0100 Research on Diagnosis Characteristics of Wheat Powdery Mildew Under Different Severity Grading Standards.https://doi.org/10.1109/Agro-Geoinformatics.2019.8820416Dongyan Zhang, Xun Yin, Fenfang Lin, Linsheng Huang, Jinling Zhao, Yu Liu, Wei Ma, Qi Hong:
Research on Diagnosis Characteristics of Wheat Powdery Mildew Under Different Severity Grading Standards. Agro-Geoinformatics 2019: 1-6]]>https://dblp.org/rec/conf/agro-geoinformatics/ZhangYLHZLMH19Tue, 01 Jan 2019 00:00:00 +0100 The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China.https://doi.org/10.3390/rs9020149Robert M. Parinussa, Guojie Wang, Yi Y. Liu, Daniel Fiifi Tawia Hagan

, Fenfang Lin, Robin van der Schalie, Richard A. M. de Jeu:
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China. Remote. Sens. 9(2): 149 (2017)]]>https://dblp.org/rec/journals/remotesensing/ParinussaWLHLSJ17Sun, 01 Jan 2017 00:00:00 +0100