How Optical Sensors and Deep Learning Enhance Production Management in Smart Agriculture—2nd Edition
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Artificial Intelligence and Digital Agriculture".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 901
Special Issue Editors
Interests: RTM; crop model; UAV; crop mapping
Special Issues, Collections and Topics in MDPI journals
Interests: UAV; biomass; nutrient management; yield mapping
Special Issues, Collections and Topics in MDPI journals
Interests: UAV; UGV; deep learning; crop models; crop mapping
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; smart agriculture; UAV; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; precision agriculture; deep learning; crop models; crop mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of optical sensors and deep learning (DL) into farming has revolutionized traditional agricultural practices—from early simple linear regression to advanced DL-driven predictive analytics, the journey has been marked by significant technological advancements aimed at optimizing crop yields and resource management.
Consequently, this Special Issue aims to highlight the transformative impact of optical sensors and DL on smart agriculture, and seeks to highlight innovative applications, address current challenges, and discuss future directions. We invite contributions that showcase the latest research in optical sensor technology and DL applications in agriculture, and topics of interest include, but are not limited to, the following:
- DL algorithms for crop monitoring (e.g., crop growth monitoring and crop yield prediction);
- DL-based real-time crop monitoring solutions for unmanned ground vehicles and aerial vehicles (e.g., crop phenotyping);
- DL applications for field management (e.g., disease or pest control).
We solicit, therefore, original research articles, review papers, and case studies that provide insights into the practical implementation and benefits of optical sensors and DL in agriculture. We look forward to receiving your contributions, which will continue to drive the future of smart agriculture.
Prof. Dr. Fenghua Yu
Dr. Haikuan Feng
Dr. Chengquan Zhou
Dr. Meiyan Shu
Dr. Jibo Yue
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 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 250 words) can be sent to the Editorial Office for assessment.
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
- optical sensors
- deep learning
- crop health monitoring
- yield prediction
- crop phenology
- crop growth monitoring
- unmanned aerial vehicles
- unmanned ground vehicles
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
