News

Call for Papers – Special Issue: Innovation in Agricultural Information Sensing Technologies
• Sensors are the core foundation for achieving full-domain perception and full-process control in agricultural production. To meet the demands of digitalization, intelligentization, and green transformation in modern agriculture, and focusing on key directions such as high-sensitivity photoelectric sensing, micro-nano sensing, multi-modal fusion perception, and in-situ spectral detection, it is essential to overcome technical bottlenecks including low information acquisition accuracy, slow response, and insufficient stability in complex scenarios such as farmland soils, water bodies, and agricultural gas emissions. This holds significant scientific value and practical importance for enhancing agricultural environmental monitoring, efficient resource utilization, greenhouse gas emission reduction, and agricultural product safety control. Advancing innovations in novel sensing devices, intelligent monitoring equipment, and system integration will not only consolidate the foundational perception capabilities of smart agriculture but also provide key technological support for precision agriculture, digital village construction, and high-quality agricultural development. To highlight new achievements in this field, our journal plans to organize a special issue on "Innovation in Agricultural Information Sensing Technologies" and is now issuing an open call for papers. The special issue is scheduled for publication in Issue 1, 2027 (January 31). We have specially invited Researcher Daming Dong of the Intelligent Equipment Technology Research Center of the Beijing Academy of Agriculture and Forestry Sciences to serve as the guest editor. We welcome submissions of original research and high-quality review papers.
  I. Scope of Submissions
  The following are some selected topics, including but not limited to:
  (1) Novel Principles and Methods for Agricultural Sensing
  Agricultural sensors based on novel principles such as electrochemistry, optics, and biosensitization, Flexible and wearable plant/animal physiological sensing technologies, Microfluidic chips and on-site rapid detection methods
  (2) Spectroscopy and Photoelectric Sensing Technologies
  Applications of infrared, laser, Raman, and hyperspectral technologies in farmland soil, water, and gas detection, On-site, real-time, high-sensitivity spectroscopic sensing methods and systems, Photoelectric detection technologies for trace/ultra-trace agricultural pollutants
  (3) Specialized Sensors for Soil, Water, and Gas
  In-situ sensors for soil nutrients (N, P, K, organic matter, pH, salinity, etc.), Online monitoring sensors for agricultural greenhouse gases (CO?, CH?, N?O, etc.), Multi-parameter water quality sensing devices (heavy metals, N, P, dissolved oxygen, etc.)
  (4) Sensor Integration and Intelligent Agricultural Perception Equipment
  Low-power, wireless IoT node sensors, Mobile perception platforms equipped with sensors: agricultural unmanned vehicles, UAVs, robotic fish, etc., Multi-sensor fusion and collaborative perception systems
  (5) Agricultural Perception Data and Decision Systems, Integration of sensor data with AI and cloud computing platforms, Precision irrigation, fertilization, and pesticide application decisions based on perception information, Digital twins and intelligent early warning systems for agricultural environments
  (6) Current Status, Challenges, and Future Trends of Agricultural Information Perception Sensors
  II. Submission Requirements
  1. Submissions must be unpublished 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.
  2. The manuscript should include: titles, author information, abstracts, keywords, funding information, main text, references, and editable figures and tables. Manuscripts should be no less than 7,000 words and submitted as Word documents.
  3. Online submission:
  https://www.smartag.net.cn/Journalx_zhny/authorLogOn.action
  III. Important Dates
  Scheduled Issue: 2027 Issue 01
  Submission Deadline: October 30, 2026
  IV. Guest Editor
   
  Researcher Daming Dong
  Daming Dong is a Researcher and Doctoral Supervisor, currently serving as Deputy Director of the Intelligent Equipment Technology Research Center of the Beijing Academy of Agriculture and Forestry Sciences, Director of the Key Laboratory of Agricultural Sensors of the Ministry of Agriculture and Rural Affairs, and an editorial board member of Smart Agriculture (Chinese & English). He has long been engaged in research and development of smart agriculture sensors. He is a recipient of the Special Government Allowance of the State Council and has been selected for the National Hundred-Thousand-Ten Thousand Talents Project, the National Outstanding Agricultural Research Talents, the Young Beijing Scholar, the Shennong Talent Program, the Outstanding Young Agricultural Scientist, and the Beijing Hundred-Thousand-Ten Thousand Talents Project. He has received the China Youth Science and Technology Award, the Mao Yisheng Beijing Youth Science and Technology Award, the Chinese Optical Society Young Scientist Award, and the Capital Labor Medal. As first author or corresponding author, he has published more than 80 SCI-indexed papers in prestigious journals, been granted more than 90 patents (including 1 PCT, 1 Paris Convention, 58 invention patents, and 30 utility model patents), and registered 22 software copyrights. He has received 6 ministerial-level science and technology awards.
  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 Zhao Chunjiang 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 Chinese Science Citation Database (CSCD) Core Journal, a China Science and Technology Core Journal, a Chinese Core Agricultural Journal (A), a T1-level journal in the CAST High-Quality Journal Classification Directory, a Zone 2 journal in the Emerging Sources Journal Classification Table, and an RCCSE Chinese Core Academic Journal (A). It is indexed in more than a dozen international databases including Scopus, DOAJ, Inspec, EBSCO, and CABI.
  VI. Contact Information
  1. Guest Editor Contact:
  Researcher Daming Dong
  Email: dongdm@nercita.org.cn
  2. Editorial Office Contact:
  Tel: 010-82109657
  Email: smartag@caas.cn
  Journal Website: https://www.smartag.net.cn/
  
  
  
  
Pubdate： 2026-06-03    Viewed： 7