Spectroscopy and Sensing Technologies for Smart Agriculture
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: 25 March 2026 | Viewed by 72
Special Issue Editor
Special Issue Information
Dear Colleagues,
Global agriculture faces mounting challenges as it strives to meet rising demands for food, water, and energy while conserving resources and reducing environmental impact. Issues such as climate change, declining soil health, and the prevalence of pests and diseases further intensify the pressure to adopt more sustainable farming practices.
Spectroscopy and advanced sensing technologies offer powerful tools to address these challenges by enabling non-destructive, real-time monitoring of crops, soils, and the environment. Combined with machine learning, robotics, and IoT-based platforms, these approaches are driving innovations in precision and smart agriculture. From early disease detection to nutrient and water-use optimization, sensor-driven solutions are helping growers make data-informed decisions that improve productivity and sustainability.
This Special Issue, ‘Spectroscopy and Sensing Technologies for Smart Agriculture’, invites original research articles and reviews that highlight the latest advances, applications, and future directions in this rapidly evolving field. Contributions may include, but are not limited to, the following topics:
- Development and application of spectroscopy techniques (hyperspectral, multispectral, Raman, fluorescence, NIR, etc.).
- Sensor-based monitoring of crops, soils, water, and environment.
- Machine learning and AI for spectral data analysis and decision support.
- UAVs, ground-based, and robotic platforms for agricultural sensing.
- IoT, wireless networks, and data fusion for smart farming.
- Automated detection of diseases, stresses, and yield estimation.
- Smart irrigation, nutrient management, and resource efficiency.
We warmly invite you to contribute your valuable research to this Special Issue and help advance the adoption of data-driven and sustainable agricultural practices.
Dr. Md Zafar Iqbal
Guest Editor
Manuscript Submission Information
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Keywords
- spectroscopy (hyperspectral, multispectral, Raman, NIR, fluorescence)
- precision and smart agriculture
- sensor-based technologies
- machine learning and AI
- agricultural robotics and automation
- IoT and data fusion
- crop and soil monitoring
- stress, disease, and yield detection
- smart irrigation and water management
- decision support systems
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