Plant Sensors in Precision Agriculture
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 50
Special Issue Editors
Interests: precision agriculture; unmanned aerial vehicles (UAVs); proximal sensing; multispectral imaging; yield prediction models; nitrogen fertilization optimization; GIS and GPS applications in agriculture; digital transformation in agriculture; sensor-based crop monitoring; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in plant sensing technologies have revolutionized the way we monitor, analyze, and manage crops in precision agriculture. Sensor-driven approaches, encompassing proximal and remote sensing systems, provide real-time insights into plant physiological traits, soil–plant interactions, and environmental dynamics. These tools enable the assessment of nutrient status, water use efficiency, and stress detection at multiple spatial and temporal scales, facilitating more sustainable and data-informed crop management decisions.
This Special Issue, “Plant Sensors in Precision Agriculture,” aims to highlight innovative research and practical applications of plant-based, proximal, and remote sensors for sustainable crop production. We welcome contributions addressing sensor development, calibration, data fusion, and integration with machine learning and decision support systems. Studies exploring correlations between sensor-derived vegetation indices and physiological or agronomic parameters are also encouraged.
By bringing together multidisciplinary research from agronomy, engineering, and data science, this Special Issue seeks to advance understanding of how digital technologies can improve resource use efficiency, reduce environmental impact, and enhance crop productivity. Both original research papers and review articles are invited to provide new insights into the role of plant sensors in transforming agriculture toward a more resilient and sustainable future.
Dr. Marko Kostić
Dr. Goran Kitić
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. Plants 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 2700 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
- plant sensors
- proximal sensing
- remote sensing
- multispectral and hyperspectral imaging
- UAV-based sensing
- vegetation indices
- precision agriculture
- crop monitoring
- nutrient management
- soil–plant interactions
- data fusion
- machine learning
- sustainable crop management
- phenotyping
- digital agriculture
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