Information Processing in Agriculture

Production and hosting by Elsevier B.V. on behalf of China Agricultural University

Peer review under the responsibility of China Agricultural University

IPA will encourage the development towards a science and technology of information processing in agriculture, through the following aims:
• to promote the use of knowledge and methods from the information processing technologies in the agriculture;
•to illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture;
•to provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing the world wide;
•Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professional and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture.
•To create and promote expert groups for development of agro-meteorological databases, crop and livestock modeling and applications for development of crop performance based decision support system.
“Information Processing for Agriculture ”
• Smart Sensor and Wireless Sensor Network
•Remote Sensing
•Simulation, Optimization, Modeling and Automatic Control
•Decision Support Systems, Intelligent Systems and Artificial Intelligence
•Computer Vision and Image Processing
•Inspection and Traceability for Food Quality
•Precision Agriculture
•The Internet of Things in Agriculture
•Cloud Computing and Agricultural Applications

Editor in Chief Daoliang Li

View full editorial board

Imprint: Elsevier

ISSN: 2214-3173

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