Advanced Image Processing in Agricultural Applications
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: closed (25 June 2024) | Viewed by 8581
Special Issue Editors
Interests: agricultural robotics; image processing; motion control; neural networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent agricultural equipment; agricultural robot; intelligent control technology; vehicle design; image processing
Interests: intelligent agricultural equipment; agricultural robot; vehicle systems; precision agriculture; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Application of image processing technology in agricultural production scenarios, such as fruit-picking robots, pest monitoring, growth environment factor monitoring, agricultural planting management, crop baking and drying, and seed quality breeding, has recently garnered increasing research interest. However, in a complex agricultural environment, image processing is rather difficult, as it can often lead to misclassification due to the interference of external factors, thereby resulting in erroneous experimental results. In addition, with the rapid development of image processing algorithms, the application of this technology in agriculture faces further challenges, including overlapping of agricultural products, serious occlusion of detection targets, excessive detection of targets, and difficulties in image processing due to light and camera angle. Therefore, advanced image processing technology in agriculture is an inspiring and promising area of research.
This Special Issue aims to present state-of-the-art research achievements that contribute to a better understanding of the agricultural field in terms of image processing, environment perception, and sensor fusion. We also encourage submissions of review articles.
The potential topics for this Special Issue include, but are not limited to, the following:
- Deep learning algorithm in agricultural applications;
- Image processing technology in pest monitoring;
- Soil spectral data in agricultural engineering;
- Multispectral image processing in agricultural engineering;
- Satellite remote sensing technology in agriculture;
- Detection and location of agricultural robotics;
- Near-infrared image processing in agricultural engineering;
- Hyperspectral technology in crop monitoring;
- Machine learning technology in crop baking and drying;
- Statistical analysis technology in crop quality assessment.
Dr. Jiehao Li
Prof. Dr. Jun Li
Prof. Dr. Weibin Wu
Guest Editors
Manuscript Submission Information
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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. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- agricultural robotics
- crop processing
- computer vision
- deep learning
- hyperspectral imagery
- RGB image
- image processing
- feature extract
- artificial intelligence
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