Scrivener Publishing- Autonomous Agro-Robots: AI, Sensing, and Decision-Making for Sustainable Farming 


SCOPE: This book is a comprehensive scientific volume that explores the intersection of robotics, artificial intelligence (AI), sensor systems, and sustainable agricultural practices. Autonomous agro-robots are emerging as transformative agents in sustainable farming by leveraging artificial intelligence (AI), advanced sensing technologies, and autonomous decision-making systems to optimize agricultural operations with minimal environmental impact. These robots integrate multispectral and hyperspectral sensors, LiDAR, computer vision, and GPS technologies to perceive and interpret complex field environments in real time. AI algorithms process sensor data to perform critical tasks such as precision seeding, targeted pesticide application, selective harvesting, and real-time weed and pest detection with unprecedented accuracy. Through machine learning, these systems continuously adapt to changing agro-ecological conditions, improving efficiency and reducing input waste over time. Decision-making is facilitated by intelligent control architectures that synthesize environmental, phenotypic, and operational data to support autonomous navigation, task scheduling, and resource allocation. By reducing the need for manual labor and ensuring precise input usage, agro-robots contribute to lower carbon footprints, soil conservation, and increased crop yield. Furthermore, these systems are designed to integrate with broader digital farming platforms, enabling seamless data exchange for holistic farm management. As a core component of precision and regenerative agriculture, autonomous agro-robots advance sustainability by aligning high-tech automation with ecological principles, thereby fostering resilient, efficient, and environmentally responsible food production systems.


Tentative Table of Contents:

Part (I) Theoretical and Technological Foundations

1. The Evolution and Role of Autonomous Robots in Precision Agriculture

2. Sustainable Agriculture: Objectives, Constraints, and the Automation Paradigm

3. Robotic Kinematics, Dynamics, and Control in Agricultural Environments

4. Artificial Intelligence Architectures for Autonomous Decision-Making in Robotics

5. Multi-Modal Sensor Integration for Environmental Perception and Monitoring

Part (II) Intelligence, Perception, and Navigation Systems

6. Computer Vision and Deep Neural Networks for Plant Phenotyping and Weed Detection

7. Simultaneous Localization and Mapping (SLAM) in Unstructured Farmland

8. Reinforcement Learning and Adaptive Control for On-Field Decision Systems

9. Swarm Intelligence for Multi-Robot Collaboration in Agricultural Tasks

10. Low-Power Computing and Renewable Energy Integration in Agro-Robotic Platforms

Part (III) Autonomous Operations in Crop and Soil Management

11. Autonomous Ground Vehicles for Precision Seeding and Plant Spacing Optimization

12. Robotic Sensing and Decision-Support Systems for Crop Health Monitoring

13. AI-Driven Irrigation Robots for Water Use Efficiency and Soil Moisture Regulation

14. Harvesting Mechanisms in Robotic Platforms: Grasping, Picking, and Sorting Algorithms

15. Autonomous Targeted Spraying for Weed and Pest Control Using Machine Perception

Part IV: Data Systems, Integration, and Ethical Considerations

16. Big Data Analytics and Cloud-Based Platforms for Autonomous Farming Operations

17. Human-Robot Interaction: Usability, Ergonomics, and Task-Sharing Models

18. Ethical Implications and Socioeconomic Impact of Autonomous Agro-Technologies

19. Cybersecurity and Data Integrity in AI-Powered Agricultural Robotics

20. Emerging Trends and Research Challenges in Next-Generation Agro-Robotics


Important Dates:

Chapters Submission: July 30, 2025

Authors Notifications: August 15, 2025

Final Manuscript: August  30, 2025

Publication Date: 1st Quarter 2026


Submission:

Authors are invited to submit their full chapter by July 30, Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Wiley book chapter format. Manuscripts must be prepared using:

Guideline for figure submission are as below:

Guideline for manuscript preparation is given below:

NOTE: There are no submission or acceptance fees for manuscripts submitted to this book for publication. All manuscripts are accepted based on a double-blind peer review editorial process

The chapter prior to submission should be checked for plagiarism from licensed plagiarism software like Turnitin or iThenticate. The similarity of content should not exceed 10% (in any case, either self-sourced content or any).


Contact:

For questions regarding the book, please contact the Book Editor at: submissionbook51@gmail.com