Journal Information
Computers and Electronics in Agriculture
Impact Factor:
Call For Papers
Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software and electronic instrumentation and control systems for solving problems in agriculture and related industries. These include agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, animal/livestock science, veterinary medicine, and food processing.

The journal publishes original papers, reviews, applications notes and book reviews on topics including computerized decision-support aids (e.g., expert systems and simulation models) pertaining to any aspect of the aforementioned industries; electronic monitoring or control of any aspect of livestock/crop production (e.g. soil and water, environment, growth, health, waste products) and post-harvest operations (such as drying, storage, production assessment, trimming and dissection of plant and animal material). Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics and simulation modelling.
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on New trends on artificial intelligence for early weed identification - Computers and Electronics in Agriculture
Submission Date: 2022-06-01

Automatic weed control has arisen as a promising alternative for reducing the amount of herbicide applied to the field while improving final yield. The use of artificial intelligence through the implementation of deep learning for early weed identification has been one of the engines to boost this progress. There are many emerging techniques, such as transfer learning, domain adaptation, generative adversarial neural networks, knowledge distillation, neural architecture search, etc. that promise to improve the current techniques in precision agriculture and have a direct impact on food safety. But also hybrid techniques integrating symbolic AI and expert systems could make the difference in the future. Thus, the aim of this COMPAG/ATECH special issue is to provide the place for submitting all papers scoped under the weed identification problem and the use of artificial intelligence-based techniques Guest editors: Dr. Lie Tang Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, Iowa, USA Special issue information: You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact Dr. Lie Tang via Manuscript submission information: The submission portal opens from 1th January 2022 to 1th June 2022. Acceptance deadline: 1th August 2022 To submit your manuscript please go to Computers and Electronics in Agriculture- COMPAG (at and follow the procedures for manuscript submission. When prompted for 'Enter Manuscript Information' you can select our Special Issue Article type as ‘VSI: AI on weed detection” at Author Guidelines and Manuscript Submission can be found at: Why publish in this Special Issue? Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work. Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues. Special content articles attract 20% more citations in the first 24 months than articles published in regular issues. All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published. Learn more about the benefits of publishing in a special issue: Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field:
Last updated by Dou Sun in 2022-01-29
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