Chapter 1. IoT x AI: Introducing Agricultural Innovation for Global Food Production -- Chapter 2. Transforming Controlled Environment Plant Production toward Circular Bioeconomy Systems -- Chapter 3. Artificial Lighting Systems for Plant Growth and Development in Indoor Farming -- Chapter 4. An IoT-based Precision Irrigation System to Optimize Plant Water Requirements for Indoor and Outdoor Farming Systems -- Chapter 5. Artificial Intelligence & Internet of Things: Application in Urban Water Management -- Chapter 6.Purification of Agricultural Polluted Water Using Solar Distillation and Hot Water Producing with Continuous Monitoring Based on IoT -- Chapter 7. Long Range Wide Area Network (LoRaWAN) for Oil Palm Soil Monitoring -- Chapter 8. Application of Smart Machine Vision in Agriculture, Forestry, Fishery, and Animal Husbandry -- Chapter 9. Artificial Intelligence in Agriculture: Commitment to Establish Society 5.0 -- Chapter 10. Potentials of Deep Learning Frameworks for Tree Trunk Detection in Orchard to Enable Autonomous Navigation System -- Chapter 11. Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT -- Chapter 12. Pear Recognition in an Orchard from 3D Stereo Camera Datasets to Develop an Autonomous Mechanism Compared with Deep Learning Algorithms -- Chapter 13. Thermal Imaging and Deep Learning Object Detection Algorithms for Early Embryo Detection - A Methodology Development Addressed to Quail Precision Hatching -- Chapter 14. Intelligent Sensing and Robotic Picking of Kiwifruit in Orchard -- Chapter 15. Low-cost Automatic Machinery Development to Increase Timeliness and Efficiency of Operation for Small Scale Farmers to Achieve SDGs -- Chapter 16. Vision-based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles -- Chapter 17. Autonomous Robots in Orchard Management: Present status and future trends -- Chapter 18. Comparing Soil Moisture Retrieval from Water Cloud Model and Neural Network Using PALSAR-2 for Oil Palm Estates -- Chapter 19. Development of a Recognition System for Spraying Areas from Unmanned Aerial Vehicles Using a Machine Learning Approach -- Chapter 20. Basal Stem Rot Disease Classification by Machine Learning Using Thermal Images and an Imbalanced Data Approach -- Chapter 21. Early Detection of Plant Disease Infection using Hyperspectral Data and Machine Learning -- Chapter 22. The Spectrum of Autonomous Machinery Development to Increase Agricultural Productivity for Achieving Society 5.0 in Japan.