Intelligent Sensors and AI for Sustainable Agriculture and Ecological Solutions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: closed (10 March 2025) | Viewed by 1563
Special Issue Editors
Interests: artificial intelligence; pattern recognition; computer vision; machine learning; computational science; data science; digital agriculture; agroinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: sensors; drone; precision livestock management; smart agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) and intelligent sensor technologies has opened new horizons in the fields of agriculture and ecological applications. This Special Issue aims to explore the latest advances, challenges, and transformative potential of AI and sensor technologies in promoting sustainable agriculture practices and enabling novel ecological solutions.
Advancements in AI and machine learning techniques, particularly deep learning algorithms, coupled with the proliferation of sophisticated sensor technologies, have paved the way for innovative applications in agriculture and ecological research. These technologies offer opportunities for precision farming, optimized resource management, wildlife monitoring and surveillance, and real-time monitoring of environmental parameters, just to name several. By harnessing the power of AI-driven analytics and data-driven decision-making, sustainable agricultural practices can be achieved, ensuring efficient resource allocation, minimizing environmental impacts, protecting diversity, and increasing productivity.
Sensor technologies play a crucial role in capturing and providing high-quality data for AI systems. Soil sensors enable precise monitoring of soil moisture, nutrient levels, and salinity, facilitating targeted irrigation and optimal fertilization. Crop health sensors, including hyperspectral imaging and thermal cameras, provide early detection of diseases, pests, and nutrient deficiencies, enabling timely interventions and minimizing crop losses. Environmental sensors capture vital information on climate, air quality, and water conditions, assisting in ecosystem monitoring, biodiversity conservation, and climate change adaptation. Wildlife monitoring sensors serve a crucial role in collecting data on animal behaviour, movement patterns, population dynamics, and habitat conditions. These sensors enable researchers and conservationists to gather valuable information about wildlife species and ecosystems.
This Special Issue invites researchers and practitioners to contribute original research, reviews, and case studies focusing on the fusion of AI and sensor technologies for emerging agriculture and ecological applications. Topics of interest include, but are not limited to:
- Decision support systems
- Deep learning
- Precision agriculture
- Sensor-based irrigation and fertilization
- Pest and disease detection
- Remote sensing
- Crop monitoring and yield prediction
- Autonomous robotics and drones
- Sensor networks
- Machine learning models
- Smart farming systems
- Sustainable agriculture
- Soil health assessment and conservation
- Data integration and analytics
- Sustainable food systems
- Presence and activity detection
- Movement and migration monitoring
- Species Identification
- Behaviour analysis
- Health and vital signs monitoring
- Population assessment
This Special Issue aims to foster interdisciplinary discussions and collaboration among researchers and practitioners working on AI, sensor technologies, agriculture, and ecological applications. The collected contributions will provide insights into the potential of these technologies to address pressing challenges in agriculture, enhance resource efficiency, and support ecosystem resilience. Ultimately, this Special Issue will contribute to the advancement of sustainable practices, promoting a harmonious balance between agricultural productivity and ecological well-being.
We welcome submissions and look forward to the diverse range of research and perspectives that will contribute to this Special Issue.
Dr. Paul Kwan
Dr. Leifeng Guo
Dr. Andrew Shepley
Guest Editors
Manuscript Submission Information
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