Martin Schieck
Information Systems Institute – Smart Farming Lab
Leipzig University, Germany
E-mail: schieck@wifa.uni-leipzig.de


Philippe Krajsic
Information Systems Institute – Smart Farming Lab
Leipzig University, Germany
E-mail: krajsic@wifa.uni-leipzig.de

Smart farming, an evolution of agriculture, leverages modern computational technologies to increase agricultural productivity, sustainability, and overall efficiency. By integrating cutting-edge computer science techniques with traditional farming practices, smart farming endeavors to optimize the agricultural process from soil preparation to harvest while minimizing environmental impacts. The SF 2024 Special Session at the 16th International Conference on Computational Collective Intelligence (ICCCI 2024) is devoted to new technologies in the agriculture sector addressing computer vision, precision farming, automation and robotics, remote sensing, agricultural data management and much more . This special session aims to converge experts from the realms of computer science and agriculture to foster discussions and collaborations, unveiling novel solutions for the challenges faced by the modern agriculture sector.

• Machine Learning and AI in predicting crop yields and diseases
• Computer vision for smart agriculture
• Autonomous tractors and drones for efficient field operations
• GPS and GIS technologies for precise field mapping and monitoring
• Robotic harvesting and weeding technologies
• Deploying IoT for soil, plant, and livestock monitoring
• Blockchain for traceability and transparency in agricultural supply chains
• Automated climate control and monitoring systems
• Integration of renewable energy resources in farming operations
• Big data analytics for agricultural risk assessment
• Development of intelligent decision support systems for farmers
• Mobile applications for real-time farm management
• Design and implementation of cyber-physical systems for enhanced agricultural productivity
• Security and privacy challenges in smart farming implementations
• Data interoperability and standardization in agriculture
• Cloud computing and edge computing solutions for agricultural data processing