Mobile Robots For Digital Farming

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Mobile Robots for Digital Farming

This book provides a complete and comprehensive reference for agricultural mobile robots, covering all aspects of the design process, from sensing and perceiving to planning and acting for practical farming applications. Mobile Robots for Digital Farming explores topics such as Robot Operating Systems (ROS), dynamic simulation, artificial intelligence, image processing, and machine learning. Additionally, it features multiple case studies from funded projects and real-field trials. This book will be useful for professors and academics in various engineering disciplines (mechanical, robotics, control, electrical, computer, and agricultural), graduate and undergraduate students, farmers, commercial growers, startups, private companies, consultancy agencies, equipment suppliers, and agricultural policymakers.
Digital Farming and Smart Agriculture for Sustainable Future

This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers in this field. Discusses various aspects of AI-driven demand forecasting and management Covers smart IoT framework for precision agriculture Includes topics related to deep learning techniques combined with IoT for smart agriculture Explores the scope of computer vision technologies aid in precise crop management Highlights the potential of energy optimization and environmental sustain- ability in agricultural practices This reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.
Precision Agriculture

Precision agriculture has revolutionized the way crops are grown and managed by utilizing advanced technologies to optimize farm production, reduce waste, and improve environmental sustainability. Emerging technologies in precision agriculture, including edge computing, 5G communication, the Internet of Things, artificial intelligence, digital twins, blockchain, big data analytics, robotics, and augmented reality, are making significant contributions to the growth and development of this field. This book explores the latest advancements, achievements, and opportunities associated with these technologies in terms of improved efficiency, reduced labor costs, and enhanced safety, as well as the challenges involved in the implementation, such as high costs of adoption, regulations, and the need for skilled personnel. Each chapter presents research reports describing new methods and perspectives in precision agriculture applications based on innovative tools from basic and applied research. This book can serve both the academic community and farmers by demonstrating how modern technologies are advancing precision agriculture to the next level.