Optics and Image Analysis in Modern Agriculture: Transforming Practices and Unveiling Opportunities
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 479
Special Issue Editor
Interests: optical metrology; laser interferometry; dynamic laser speckle
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Optics and image analysis technologies support modern agriculture, providing detailed insights into crop health, soil conditions, and environmental factors at both macro- and micro-scales. These advancements enable farmers to make data-driven decisions, optimize resource usage, and enhance overall productivity. Furthermore, they present opportunities for industries and research centers to develop innovative equipment and protocols. In addition, the ongoing digital revolution continues to drive novelties in optics and image analysis, regularly introducing novel approaches.
Advanced techniques in this domain include remote sensing, multispectral and hyperspectral imaging, 3D reconstruction, digital image processing and analysis, and laser interferometric methods. Additional methods such as near-infrared (NIR) and fluorescence spectroscopy, lidar (light detection and ranging), machine vision, and thermal imaging, in some cases, integrated with deep learning and artificial intelligence (AI) further expand the possibilities for addressing the challenges faced in agriculture. These cutting-edge methods enable the precise monitoring, analysis, and management of agricultural processes, promoting efficiency, sustainability, and innovation in farming practices.
This special issue will highlight the diverse applications of optics and image analysis in agriculture. We invite contributions across a wide range of article types, including original research, reviews, and opinion pieces. Together, we can showcase the transformative potential of these technologies for advancing modern agricultural practices.
Prof. Dr. Roberto Alves Braga Júnior
Guest Editor
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 submissions that pass pre-check are 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. Agriculture is an international peer-reviewed open access semimonthly 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 2600 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
- near-infrared (NIR)
- fluorescence spectroscopy
- lidar (light detection and ranging)
- machine vision
- thermal imaging
- remote sensing
- multispectral and hyperspectral imaging
- 3D reconstruction
- digital image processing and analysis
- laser interferometric methods
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