1 Key Technologies for Agri-Robots

• Perception, sensing, and autonomous navigation for agricultural settings
• Control methods: PID, MPC, and H∞ robust control
• AI and deep learning for detection, planning, and decision-making
• SLAM, path planning (A*, RRT), and localization techniques
• Simulation platforms, digital twins, and virtual environments
• ROS, embedded systems, and wireless communication (LoRa, CANBUS, 5G)

2 Agricultural Robotics for Outdoor Crop Production

Robust design for variable terrain, weather, and off-grid environments

Adaptive navigation, slip control, and hybrid locomotion

ML-based control of traction, obstacle handling, and field movement

Autonomous tractors, smart implements, and crop-specific robots

Precision sprayers, harvesters, and field-scouting systems

Case applications: AgXeed, Naïo, and multi-purpose platforms

3Agricultural Robotics for Indoor Crop Production

• Robotics for greenhouses, vertical farms, and plant factories
• Navigation in tight spaces and dense crop layouts
• Vision-guided harvesting, soft grippers, and robotic manipulators
• SLAM and AI for real-time crop inspection and monitoring
• Automation of pollination, spraying, sanitation, and seedling tasks
• Integration with climate systems and hydroponic/aeroponic automation

4 Integration, Impact, and Future Directions

• Integration with IoT, DSS, and cloud-based digital agriculture platforms
• Socio-economic impact, adoption challenges, and cost–benefit analysis
• Technology Readiness Levels (TRLs): from basic research to fully deployed systems
• Human–Robot Interaction (HRI) for collaborative farming and user-centered robotic design
• Regulatory, ethical, and labor considerations for agri-robotics
• Real-world case studies and technology deployment lessons
• Startups, policy, and public–private partnerships in scaling solutions
• Future trends: AR/VR interfaces, remote control, and robotics roadmaps

• Abstracts due: September 30, 2025
• Chapters due: December 30, 2025
• Authors are invited to submit an abstract of up to 500 words outlining the proposed chapter topic. Relevant images or figures may be included to support the concept.

• Chapter length: 15–30 pages (excluding references)
• Each contributor must sign the Contributor Agreement form
• The publisher prefers all chapters to be submitted in Microsoft Word format
• Do not format your chapter—typesetting is handled by the publisher
• All artwork (figures, equations, tables) must be submitted as separate, labeled files
• Secure image permissions early and include all documentation with your final chapter
• AI-generated content is not permitted; authors must comply with the publisher’s AI policy
• The abstract will not appear in print but will enhance online discoverability