Editorial Board for section 'Digital Agriculture'

Please see the section webpage for more information on this section.

Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.

Members


Website
Section Board Member
College of Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, China
Interests: crop precision management; agricultural remote sensing; precision agriculture

Website
Section Board Member
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, 04103 Leipzig, Germany
Interests: remote sensing (hyper- and multispectral, thermal); hyperspectral imaging; portable vis-NIR and MIR spectroscopy; proximal soil sensing; digital soil mapping; vegetation mapping (agriculture, forestry); hydrological modeling; machine learning
Special Issues, Collections and Topics in MDPI journals

Website
Section Board Member
College of Engineering, China Agricultural University, Beijing 100083, China
Interests: precision livestock farming; machine vision; agricultural robotics; animal sensors; animal environment
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: image processing; computer vision; deep learning; agricultural robotics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Website
Section Board Member
Department of Biosystems Engineering, Poznań University of Life Sciences, Poznan, Poland
Interests: computer image analysis; artificial neural networks; neural modeling; machine learning; deep learning; computer science in agriculture
Special Issues, Collections and Topics in MDPI journals

Website
Section Board Member
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Interests: AI for remote sensing; high resolution remote sensing data; precision agriculture; agriculture disaster
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