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Call for Papers: Remote Sensing + AI Empowering Agricultural and Rural Modernization

The deep integration of remote sensing technology and artificial intelligence (AI) is driving the transformation of agriculture toward digitalization, intelligentization, and precision. Through space-, air-, and ground-based remote sensing means for real-time acquisition of farmland data, combined with AI intelligent analysis, precise monitoring of crop growth and yield, as well as early warning of pests, diseases, and disasters can be achieved, significantly improving agricultural production efficiency. As a powerful technical support for agricultural new quality productive forces, Remote Sensing + AI is becoming a core driving force for promoting the digital transformation of agriculture and injecting new momentum into rural revitalization. To report the latest research progress in the R&D and application of related technologies, our journal has planned a special issue on "Remote Sensing + AI Empowering Agricultural and Rural Modernization", aiming to explore and exchange the latest achievements in fundamental theoretical innovations, key technologies and equipment R&D, and application model exploration in this field. The special issue is scheduled for publication in Issue 6, 2025 (published on November 30). We have specially invited Professor Zhenhai Li of Shandong University of Science and Technology and Associate Researcher Shangrong Wu of the Institute of Agricultural Resources and Regional Planning of the Chinese Academy of Agricultural Sciences to serve as the guest editors. We welcome contributions from experts, scholars, and researchers in related fields.
I. Scope of Submissions
Including but not limited to: agricultural and rural resource investigation and assessment, crop classification and mapping, farmland environmental monitoring, precision agricultural management and decision support, agricultural disaster monitoring and early warning, crop growth monitoring and yield prediction, agricultural industry chain monitoring, rural construction and management, novel perception technologies, data processing and fusion, demonstration applications of agricultural and rural remote sensing technologies, and review articles on Remote Sensing + AI empowering new quality productive forces in agriculture and rural areas.
II. Submission Requirements
1. The special issue "Remote Sensing + AI Empowering Agricultural and Rural Modernization" is a regular issue. Submissions must meet the following basic requirements:
2. Submissions must be original review/research papers, written in either Chinese or English, within the scope of this special issue. They should present clear viewpoints, substantial supporting data, accurate results, sound reasoning, and standardized formatting.
3. The manuscript should include: titles, author information, abstracts, keywords, funding information, main text, references, and editable figures and tables. The manuscript should be no less than 7,000 words and submitted as a Word document.
4. Online submission:
http://www.smartag.net.cn/Journalx_zhny/authorLogOn.action (Please select the special issue "2025 Remote Sensing + AI Empowering Agricultural and Rural Modernization" under the submission section).
5. For detailed manuscript formatting, please refer to the Smart Agriculture (Chinese & English) manuscript template. (Click to download directly, or visit the official website - Download Center at https://www.smartag.net.cn/CN/column/column126.shtml to download the article template.)
III. Important Dates
Scheduled Issue: 2025 Issue 06
Submission Deadline: August 30, 2025
IV. Guest Editors

Professor Zhenhai Li
Zhenhai Li, a member of the Communist Party of China, Ph.D., is a Professor and Doctoral Supervisor at Shandong University of Science and Technology, serving as Associate Dean of the College of Geodesy and Geomatics. He is the leader of the Shandong Provincial Department of Education Innovation Team for Space-Air-Ground Agricultural Remote Sensing Monitoring and Early Warning Research. He has been selected as a Taishan Scholar Young Expert, a Beijing Outstanding Talent, a Beijing Young Talent Support Program recipient, and has been listed in the Stanford University World's Top 2% Scientists "2023–2024 Annual Impact List", and as a Shandong Provincial Science and Technology Commissioner. He has long been engaged in research and application of remote sensing prediction of crop yield and quality, remote sensing diagnosis of crop nitrogen and prescription decision-making, and agricultural growth models. He has led 11 provincial/ministerial-level projects including the National Key Research and Development Program and the National Natural Science Foundation of China; published more than 100 SCI-indexed papers with 6 ESI Highly Cited Papers; edited 2 monographs; and been granted 11 national invention patents. His research achievements have received 4 provincial/ministerial-level awards from the Ministry of Agriculture and Rural Affairs, the Ministry of Education, and the Ministry of Human Resources and Social Security. He currently serves as Associate Editor/(Young) Editorial Board Member for multiple journals including Frontiers in Plant Science, Plant Phenomics, and Smart Agriculture (Chinese & English), as well as a member of the Agricultural Modeling and Simulation Professional Committee of the China Simulation Federation, an Executive Member of the Digital Agriculture Branch of the China Computer Federation (CCF), a member of the Smart Ecology Professional Committee of the Chinese Association of Automation, and Deputy Director of the Crop Phenomics Professional Committee of the Shandong Association of Agricultural Science Societies. He has systematically established crop nitrogen spectral radiative transfer models and water-nitrogen coupling diagnostic models, and pioneered the construction of a data assimilation framework theory centered on nitrogen physiological indicators. He has proposed a universal approach for remote sensing estimation of biomass throughout the entire growth period and generated the first set of China's winter wheat protein content prediction datasets from 2008 to 2019. The agricultural situation monitoring tasks he led for the Ministry of Agriculture and Rural Affairs have received approvals from ministry leaders. His related achievements have been widely reported by multiple media outlets including CCTV Agricultural Channel, CCTV Video, People's Daily, China Education Daily, China Education News Network, and China.com.cn, achieving significant social benefits.

Associate Researcher Shangrong Wu
Shangrong Wu, a member of the Communist Party of China, Ph.D., is an Associate Researcher and Master's Supervisor at the Institute of Agricultural Resources and Regional Planning of the Chinese Academy of Agricultural Sciences. She is a recipient of the CAST Young Talent Support Program and the CAAS Youth Innovation Special Program. She is an IEEE Senior Member, a Lifetime Senior Member of the Chinese Society of Agricultural Machinery, a Senior Member of the Chinese Society of Agricultural Engineering, a member of the Agricultural Information Professional Committee of the Chinese Association of Agricultural Science Societies, a member of the Smart Ecology Professional Committee of the Chinese Association of Automation, and an Executive Member of the Digital Agriculture Branch of the China Computer Federation (CCF). She serves as a Young Editorial Board Member for journals including Plant Phenomics, Chinese Geographical Science, Journal of Radars, Smart Agriculture (Chinese & English), and Southwest China Journal of Agricultural Sciences. She is primarily engaged in research on SAR inversion of crop parameters and assimilation-based yield estimation. She has led projects including the National Natural Science Foundation of China General Program and Youth Program, and sub-projects of the National Key Research and Development Program. She has published more than 40 papers in domestic and international academic journals including IEEE GRSM, RSE, ISPRS PHOTO, IEEE TGRS, and CEA, co-authored 1 monograph, and been granted more than 10 national invention patents. Her related achievements were selected as one of the Top 10 Major Scientific Discoveries of the Chinese Academy of Agricultural Sciences in both 2021 and 2022.
V. About Smart Agriculture (Chinese & English)
Smart Agriculture (Chinese & English) is a bilingual agricultural journal supervised by the Ministry of Agriculture and Rural Affairs and sponsored by the Agricultural Information Institute of the Chinese Academy of Agricultural Sciences, with Academician Chunjiang Zhao of the Chinese Academy of Engineering serving as the Editor-in-Chief. The journal focuses on agricultural information technology, publishing and disseminating the latest domestic and international research findings to build a high-level academic exchange platform. The journal has been recognized as a "China Science and Technology Core Journal," a "Chinese Core Agricultural Journal (A)," a "Chinese Science Citation Database (CSCD) Core Journal", and has been ranked at T2 level in the CAST High-Quality Science and Technology Journal Classification Directory. It is indexed in more than a dozen international databases including Scopus, DOAJ, EBSCO, and CABI.
For any other questions regarding submissions, please contact the Editorial Office at: 010-82109657.

Pubdate： 2025-05-13 Viewed： 23