Special Issue "Computer Vision for Intelligent Crop Identification and Crop Protection"

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 15 March 2022.

Special Issue Editors

Prof. Dr. Wen-Hao Su
E-Mail Website
Guest Editor
Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU), 17 Qinghua East Road, Haidian, Beijing 100083, China
Interests: agricultural robotics; artificial intelligence; computer vision; machine (deep) learning; weed control; plant health diagnostics; food safety; fluorescence imaging; hyper/multispectral imaging; UV/VIS/NIR/MIR spectroscopy
Special Issues, Collections and Topics in MDPI journals
Dr. Zhou Zhang
E-Mail Website
Guest Editor
Department of Biological Systems Engineering, University of Wisconsin-Madison, 230 Agricultural Engineering Building, 460 Henry Mall, Madison, WI 53706, USA
Interests: hyperspectral remote sensing; machine learning; unmanned aerial vehicle (UAV)-based imaging platform developments; precision agriculture; high-throughput plant phenotyping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Affected by climate change and other factors, crops are susceptible to a variety of diseases, pests, and weeds, resulting in production loss and quality degradation. Crop protection is the science and practice of managing plant diseases, weeds, and pests that damage agricultural crops. Herbicides, insecticides, and fungicides are widely used for crop protection in agricultural areas. However, a series of factors, including resistance to chemicals, environmental pollution, growing consumer concerns, and their strong interest in organic food, limit the acceptability of chemical reagents in future applications. Conventional protocols of weed control or phenotyping crop disease severity are a costly and time-consuming process. This context requires the development of smart technologies to accelerate the selection of disease-resistant crops, or to apply compounds or alternative products to targets to control diseases, pests, or weeds.

This Special Issue focuses on computer vision using near-ground and airborne cameras to identify plant traits for crop protection. We would like to invite experts and researchers in the field to contribute original and high-quality research articles and reviews to the journal (Agriculture or Agronomy) peer-reviewed Special Issue: “Computer Vision for Intelligent Crop Identification and Crop Protection”.

You may choose our Joint Special Issue in Agriculture.

Dr. Wen-Hao Su
Dr. Zhou Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computer vision
  • crop plant signaling
  • automatic system
  • robot–-plant interaction
  • high- throughput phenotyping
  • machine learning
  • image segmentation
  • plant detection
  • physiology of crops and weeds
  • monitoring and control of diseases
  • pests and weeds

Related Special Issue

Published Papers

This special issue is now open for submission.
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