Research on the Application of Information Technology in High-Efficiency Water Use in Agriculture

Dear Colleagues,

Water resources are the basic resources of agricultural production. The shortage of water resources threatens world food security. It is urgent to scientifically manage agricultural water resources and improve the efficiency of agricultural water use.

The rapid development of new information technologies such as the Internet of Things and cloud computing has provided new technical means for the precise management of agricultural water use. Information perception technology and equipment, such as soil moisture, seedling and labor employment, have been widely used. Many experts worldwide have carried out useful explorations of big data and deep learning theory in regional soil moisture perception, farmland irrigation decision-making, irrigation area water management and other aspects, accumulated some experience, yielding several new technologies and new results.

Therefore, it is important to launch this Special Issue titled “Research on the Application of Information Technology in High-Efficiency Water Use in Agriculture” in the open-access journal Water to reflect the research progress in the theory, technology and methodology of efficient agricultural water use based on information technology.

The scope of this Special Issue includes (but is not limited to): rapid and accurate perception of soil moisture, seedling condition and labor employment, fusion of multi-source irrigation information, intelligent decision-making of farmland water management, regional water efficiency evaluation, optimal allocation models and decision support of agricultural water and soil resources, big data and machine learning and other technical methods for improving agricultural water efficiency. This Special Issue also welcomes systematic reviews and short comment papers.

Prof. Dr. Jinglei Wang
Dr. Huifeng Ning
Prof. Dr. Jingsheng Sun
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• intelligent irrigation
• agricultural big data
• remote sensing technology
• GIS
• crop high-efficiency water use
• cloud computing
• water resources and environment
• crop-water model
• Internet of Things
• irrigation decision-making