Topic Editors

College of Agriculture, Shihezi University, Shihezi 832003, China
Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, 380 Hongli Road, Xinxiang 453003, China
1. Department of Plant & Soil Science, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA
2. Department of Soil and Crop Sciences, Texas A&M University, TAMU 2124, College Station, TX 77843, USA
College of Agriculture, South China Agricultural University, Guangzhou 510642, China

Advances in Smart Agriculture with Remote Sensing as the Core and Its Applications in Crops Field, 2nd Edition

Abstract submission deadline
30 April 2027
Manuscript submission deadline
30 June 2027

Topic Information

Dear Colleagues,

In recent years, smart agriculture with remote sensing and modeling technologies has brought significant benefits in crop fields and has also altered our understanding and management of crops. Remote sensing allows for crop growth monitoring on different scales such as “ground–low altitude–satellite”, while crop modeling provides predictive insights into crop growth and yield based on a diverse set of environmental parameters. Remote sensing and modeling are fully integrated into applications of crop growth, nutrition demands, irrigation management, and pest control in smart agriculture to optimize agricultural practices, enhance resource efficiency, and make substantial contributions to sustainable agricultural development. This research topic aims to seamlessly integrate remote sensing and modeling, essential components in smart agriculture, to address urgent challenges such as optimizing resource utilization and sustainable agricultural development with enhanced crop production.

The scope of this research topic encompasses a broad range of subjects including but not limited to:

  • Integrating remote sensing data with plant traits into crop models to enhance prediction accuracy and decision support.
  • Applying machine learning and AI algorithms in crop modeling for increased accuracy and adaptability.
  • Utilizing the Internet of Things, sensors, and drones for real-time data collection and monitoring in smart agriculture.

We invite authors to contribute original research articles, perspectives, and reviews, providing valuable insights into the ”Advances in Smart Agriculture with Remote Sensing as the Core and Its Applications in Crops Field, 2nd Edition”.

Dr. Yang Liu
Dr. Ben Zhao
Dr. Wenxuan Guo
Dr. Lei Zhang
Topic Editors

Keywords

  • crop
  • remote sensing
  • crop modeling
  • smart agriculture
  • machine learning

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Agriculture
agriculture
3.6 6.3 2011 18 Days CHF 2600 Submit
Crops
crops
1.9 2.4 2021 23.5 Days CHF 1200 Submit
Plants
plants
4.1 7.6 2012 17.7 Days CHF 2700 Submit
Remote Sensing
remotesensing
4.1 8.6 2009 24.9 Days CHF 2700 Submit
Agronomy
agronomy
3.4 6.7 2011 17.2 Days CHF 2600 Submit

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Published Papers

This Topic is now open for submission.
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