Computer Vision for Intelligent Crop Identification and Crop Protection
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 29277
Special Issue Editors
Interests: smart urban agriculture; artificial intelligence; agricultural robotics; automated control; unmanned aerial vehicle; plant phenotyping; computer vision; crop plant signaling; machine (deep) learning; food processing and safety; fluorescence imaging; hyper/multispectral imaging; Vis/NIR/MIR imaging spectroscopy
Special Issues, Collections and Topics in MDPI journals
Interests: crop yield prediction and 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 Agronomy.
Dr. Wen-Hao Su
Dr. Zhou Zhang
Guest Editors
Manuscript Submission Information
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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
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