Application of Chemical Sensors in Smart Agriculture
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Applied Chemical Sensors".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 239
Special Issue Editors
Interests: low-dimensional optoelectronic functional nanomaterials and metal nanomaterials; electroanalysis and chemical sensing detection
Special Issues, Collections and Topics in MDPI journals
Interests: biological and electrochemical sensing; environmental and energy chemistry; food analysis; cell imaging
Special Issues, Collections and Topics in MDPI journals
Interests: biosensors; electroanalytical sensors; optoelectronic materials and devices; new energy materials and devices
Special Issue Information
Dear Colleagues,
The rapid development of smart agriculture is inseparable from precise sensing technologies, among which chemical sensors have become a key driving force for agricultural modernization. With their high accuracy, stability, miniaturization, and cost-effectiveness, chemical sensors can effectively meet the diverse needs of smart agriculture, including soil nutrient detection, crop growth monitoring, pest and disease surveillance, and environmental sensing. This Special Issue focuses on the cutting-edge applications of chemical sensors in smart agriculture, gathering the latest global research achievements and highlighting their important roles in agricultural IoT.
This Special Issue will provide a high-profile platform for the application of chemical sensors in smart agriculture, promoting academic exchange and technology dissemination and facilitating the deep integration of chemical sensor technology with smart agriculture. We look forward to your active participation, as well as to working together to explore the future of smart agriculture and contribute to the sustainable development of global agriculture.
Prof. Dr. Yong Zhang
Prof. Dr. Yingshu Guo
Prof. Dr. He Li
Dr. Sixia Yang
Guest Editors
Manuscript Submission Information
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Keywords
- agricultural environmental monitoring sensors
- crop growth monitoring sensors
- pest and disease early warning sensors
- functional materials-based sensors
- AI-integrated sensors
- miniaturized sensor technology
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