Autorentext

Mohammad Shabaz has completed his B. Tech in Information Technology and Telecommunication Engineering from Baba Ghulam Shah Badshah University, J&K, M.E and Ph.D. in Computer Science Engineering from Chandigarh University, Mohali. He is working as Assistant Professor (Senior Scale) at Marwadi University Research Centre, Faculty of Engineering and Technology, Marwadi University, Rajkot, 360003, Gujarat, India. He is Editor at Neuroscience Informatics (Elsevier). Furthermore, he Guest-Edited many special issues in various journals like Healthcare Analytics, Decision Analytics Journal, SLAS Technology, Journal of Neuroscience Methodx, IEEE Transactions on Consumer Electronics, IEEE JBHI, Nanotechnology reviews, Nonlinear Engineering, Open Life Sciences, Discover Sustainability etc. His area of interest is application of computer science in interdisciplinary domains. He has published over 250+ research papers in various journals indexed in Scopus/Web of Science and having a Scopus H-index of 38 and Google Scholar H-index of 49, 10 Indian Patents and 3 Australian Patents. His major work is in the healthcare domain. His major contributions include the creation of novel algorithms like SA Sorting, Shabaz-Urvashi Link Prediction. He was included in the Stanford University and Elsevier World's top two percent scientist rankings 2023, 2024, 2025.

Klappentext

This book showcases new ideas and innovations in agricultural practices, including increased efficiency, reduced labour costs, optimized resource utilization, and enhanced crop quality. It covers the application of sensing, monitoring, data processing, learning, decision support, automated control, and smart technology that will help the agricultural entrepreneur run the farm or food processing plant.

Key Features:

• Discusses comprehensively the use of robotics and intelligent machine systems for smart agricultural production.
• Covers topics such as the agricultural value chain, from plant and animal breeding to on-farm production, transportation, packaging, and food processing.
• Presents smart technology that will assist the agricultural entrepreneur in the operational management of the farm or food processing facility by sensing, monitoring, data processing, and learning, as well as decision assistance and automation control.
• Showcases the role of robotics in smart agricultural applications such as soil analysis, environmental monitoring, cloud seeding, sowing seeds, harvesting, and weed control.
• Explains passive and active perception using remote and proximal sensing, and development of task-based robots for intelligent farming systems. It is written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communication engineering, agriculture engineering, and computer science engineering.

Inhalt

Chapter 1. Role of Robotics in Smart Agricultural Applications. Chapter 2. Various Aspects of Robotics and Intelligent Machine Systems in Agriculture. Chapter 3. New and Innovative Methods and Frameworks: Agritech 2.0 Pioneering the Future of Smart Agriculture. Chapter 4. Development of Task-Based Robots for Artificially Intelligent Farm Systems. Chapter 5. New Architectures to Enable a Holistic Approach Towards Sustainable and Intelligent Agriculture Applications. Chapter 6. World Modelling and Intelligent Use of Prior Knowledge Strategies for Agri-Food Systems
Automation and Robotics Applications. Chapter 7. Passive and Active Smart Farming for Remote and Proximal Sensing of Wildlife Deterrence. Chapter 8. Smart Mechanical Task-Based Robots for Agriculture and Farming. Chapter 9. Role of Robotics in Smart Agriculture for Sustainability of Food Systems. Chapter 10. Validation of Robots and Artificial Intelligence Inside Agriculture Domain. Chapter 11. Agricultural Entrepreneurship in Operational Management. Chapter 12. Adoption and Marketability of Robotic-Based Smart Farming. Chapter 13. Sustainable Aspirations and Structural Limitations: Barriers to Green Entrepreneurship. Chapter 14. AI-Driven Irrigation and Water Management Systems. Chapter 15. Improving the Efficiency and Sustainability of the Food System. Chapter 16. Transforming Agriculture through Intelligent and Sustainable Architectures