.- 1: Computational Intelligence and Internet of Things in the Agriculture Sector: An Introduction.
.- 2: Role of Big Data Analytics in Intelligent Agriculture.
.- 3: Machine learning-based remote monitoring and predictive analytics system for apple harvest storage: A statistical model based approach.
.- 4: Revolutionizing Agriculture: Integrating IoT Cloud, And Machine Learning for Smart Farm Monitoring and Precision Agriculture.
.- 5: Impact of Advanced Sensing Technologies in Agriculture with Soil, Crop, Climate and Farmland-based?approaches using Internet of Things.
.- 6: An analytical approach and concept mapping of agricultural issues using deep learning techniques.
.- 7: Explainable AI for next generation Agriculture - Current Scenario and Future Prospects.
.- 8: Barriers to implementing computational intelligence-based agriculture system.
.- 9: Agri-Chain: A Blockchain-Empowered Smart Solution for Agricultural Industry.
.- 10: Exploiting Internet of Things and AI-Enabled for Real-Time Decision Support in Precision Farming Practices.
.- 11: Advancing Plant Disease Detection with Hybrid Models: Vision Transformer and CNN-Based Approaches.
.- 12: Optimizing Agricultural Risk Management with Hybrid Block-chain and Fog Computing Architectures for Secure and Efficient Data Handling.
.- 13: Innovating with Quantum Computing Approaches in Block-chain for Enhanced Security and Data Privacy in Agricultural IoT Systems.
.- 14: Implementing Fog Computing in Precision Agriculture for Real-time Soil Health Monitoring and Data Management.
.- 15: Empowering Farmers: An AI-Based Solution for Agricultural Challenges.
.- 16: Artificial Intelligence in Agriculture: Potential Applications and Future Aspects.
.- 17: Case study on Smart irrigation using Internet of Things and XAI Techniques.
