Announcement

Special issue solicitation: Agricultural Remote Sensing—High-Precision Monitoring and Intelligent Decision-Making
• \Agricultural remote sensing technology is playing an increasingly important role in agricultural production. By utilizing remote sensing data and technology, it is possible to achieve high-precision monitoring and analysis of key information such as crop growth environments, crop diseases and pests, soil moisture, and more. This provides decision support and precision management for agricultural production. In order to explore the latest research results, technological applications, and intelligent decision-making methods in the field of agricultural remote sensing, and to promote the modernization and sustainable development of agricultural production, we are pleased to invite Professor Zhang Dongyan from Northwest A&F University, Researcher Gu Xiaohe from the National Agricultural Informationization Engineering Technology Research Center, and Professor Deng Xiaoling from South China Agricultural University to serve as joint guest editors for the special issue "Agricultural Remote Sensing: High-Precision Monitoring and Intelligent Decision-Making" in the third issue of 2024. We welcome experts, scholars, and researchers in related fields to submit their contributions.
  
  
  Scope of Submissions
  
  Including but not limited to:
  
  1. The application of high-resolution remote sensing data in agricultural monitoring and assessment
  2. The application of agricultural remote sensing and machine learning algorithms in the identification of crop diseases and pests
  3. The application of remote sensing technology in soil moisture monitoring and management
  4. The application of the combination of agricultural remote sensing and drone technology in farmland management
  5. The application of the fusion of agricultural remote sensing and meteorological data in agricultural disaster monitoring and early warning
  6. The application of agricultural remote sensing technology in the monitoring and traceability of agricultural product quality
  7. The integration and optimization of agricultural remote sensing with agricultural decision support systems
  
  
  Submission Requirements
  
  1. Original research papers that have not been published, in either Chinese or English, within the scope of this special issue. The papers should have clear viewpoints, detailed materials, accurate data, reasonable arguments, and adhere to formatting guidelines.
  
  2. Concise writing, substantial content, including titles, author information, abstracts, keywords, funding information, main text, references, and editable figures and tables. The paper should be no less than 7000 words and submitted in a Word document.
  
  3. Online submission: http://www.smartag.net.cn/Journalx_zhny/authorLogOn.action
  
  
  Timeline
  
  Issue schedule: Third issue of 2024
  Submission deadline: March 15, 2024
  
  

  Guest Editors

  

  Zhang Dongyan, Professor

  Zhang Dongyan, Ph.D., professor at Northwest A&F University, doctoral supervisor, expert reviewer for the Ministry of Science and Technology, the National Natural Science Foundation of China, and multiple provincial natural science foundations. His research mainly focuses on agricultural big data, artificial intelligence technology, intelligent sensor technology, and system development and integration. He has published over 80 SCI-indexed papers as the first or corresponding author and has been granted more than 30 national patents. He currently serves as a reviewer for domestic and international academic journals such as Computers and Electronics in Agriculture, Biosystems Engineering, Transactions of the Chinese Society of Agricultural Engineering, and Journal of Remote Sensing.

  

  Gu Xiaohe, Researcher
  Gu Xiaohe, Ph.D., researcher at the National Agricultural Informationization Engineering Technology Research Center, recipient of the Beijing Hundred, Thousand, and Ten Thousand Talents Program, Beijing Young Top-notch Talent, Beijing Science and Technology New Star, and Beijing Excellent Talent awards. His current work mainly involves land resource remote sensing monitoring, precise decision-making for crop water and fertilizer, and remote sensing assessment of agricultural disasters. He has led 22 national key research and development projects and National Natural Science Foundation general projects, published 70 academic papers as the first or corresponding author, including 36 SCI-indexed papers, and received 8 awards at the provincial and ministerial levels. He has also drafted 6 standards as the lead drafter and been granted 2 national invention patents as the lead inventor.
  
  
  Deng Xiaoling, Professor
  Deng Xiaoling, Ph.D., professor, doctoral supervisor, and director of the Artificial Intelligence Department at the College of Electronic Engineering (Artificial Intelligence Institute) at South China Agricultural University. Her research focuses on computer vision, drone remote sensing, edge and terminal intelligent technology. She has accumulated rich research experience in smart orchard and open-field collaborative agricultural monitoring, intelligent operation decision-making, and unmanned operation. In recent years, she has led 3 National Natural Science Foundation projects, 1 sub-project of a national key research and development program, 2 key area projects in Guangdong Province, 1 key area project for universities in Guangdong Province (artificial intelligence special project), and 1 key research and development project in Guangzhou. She serves as a guest editor for the journal Remote Sensing and as a reviewer for several international academic journals such as Computers and Electronics in Agriculture. She has received awards such as the Greater North Agricultural Science and Technology Innovation Award and the China Society of Agricultural Engineering Excellent Paper Award, and has published multiple highly influential and downloaded academic papers indexed by the China National Knowledge Infrastructure. She has published approximately 30 SCI/EI papers as the first or corresponding author, edited or co-edited 3 textbooks, and been granted and implemented 4 invention patents.
  
Pubdate： 2023-10-16    Viewed： 444