Sensors and Data-Driven Precision Agriculture—Second Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: 10 December 2025 | Viewed by 26
Special Issue Editors
Interests: agricultural; food and bioinformation engineering; optical foodomics
Special Issues, Collections and Topics in MDPI journals
Interests: field monitoring; agent system; sensor network
Special Issues, Collections and Topics in MDPI journals
Interests: field monitoring and artificial intelligence based phenotyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue “Sensors and Data-Driven Precision Agriculture”, we are pleased to announce the next in the series, entitled “Sensors and Data-Driven Precision Agriculture—Second Edition”.
Now that agricultural machinery has become computerized and data-integrated systems are being realized, the data-driven nature of precision agriculture, which was originally built as part of a mechanized system, has become clear. Measuring crop vigor, which used to be extremely difficult, is gradually becoming possible with the evolution of multiband optical phenotyping, drones, and robots.
In light of the current state of agriculture, this Special Issue attempts to provide a glimpse into the forefront of science-based data-driven agriculture, for example, the development of multimodal sensors for measuring the soil environment, including soil microorganisms; MEMS multispectroscopic devices for measuring the light environment that contributes to photosynthesis and photomorphogenesis; or scenarios for measuring and controlling both the environment and crops in institutional cultivation, where environmental control is possible. Other open-field research topics include measurement of the growing environment; phenotyping and control strategies using 2D/3D image sensing and machine learning; and measurement of the communication between soil microorganisms and crops using advanced sensors.
Prof. Dr. Takaharu Kameoka
Dr. Toshihiro Fukatsu
Prof. Dr. Kazuki Kobayashi
Guest Editors
Manuscript Submission Information
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Keywords
- multimodal sensors
- MEMS multispectroscopic devices
- phenotyping
- drones
- robot
- photosynthesis
- precision agriculture
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Related Special Issue
- Sensors and Data-Driven Precision Agriculture in Sensors (11 articles)
