Intelligent Computing and Sensing Systems for Sustainable Precision Agriculture

Dear Colleagues,

This Special Issue aims to present cutting-edge research and innovative applications at the intersection of artificial intelligence, advanced sensing, and scalable computing systems to advance sustainable precision agriculture. With growing challenges such as climate uncertainties, resource scarcity, and increasing global food demand, there is an urgent need to develop intelligent, efficient, and environmentally responsible farming solutions. This Issue will gather high-quality contributions that explore how data-driven technologies—including IoT, edge and cloud computing, robotics, and AI—can be integrated to enable real-time monitoring, decision-making, and autonomous operations in agricultural systems. We welcome original research and review articles that address both theoretical advances and practical implementations supporting the transition toward more productive, resilient, and sustainable agricultural practices.

Topics of interest include (but are not limited to) the following:

• AI and machine learning for crop and soil monitoring.
• IoT and wireless sensor networks in agriculture.
• UAVs and satellite-based remote sensing for precision farming.
• Edge and cloud computing platforms for agricultural data analytics.
• Robotics and automation for smart farming operations.
• Digital twins and decision support systems for farm management.
• Energy-efficient and sustainable computing solutions for agriculture.
• Hyperspectral and multimodal sensing in field conditions.
• Real-time control systems for irrigation, fertilization, and pest management.
• Data fusion and big data analytics in agroecological systems.
• Human-in-the-loop and human–robot collaboration in farming.
• Cybersecurity and data privacy in agricultural cyber-physical systems.

We invite researchers and practitioners to submit their work to help shape the future of intelligent and sustainable agriculture.

Dr. Abhilash Chandel
Guest Editor

Manuscript Submission Information

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