Febin Daya J. L – författare

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 managementCovers smart IoT framework for precision agricultureIncludes topics related to deep learning techniques combined with IoT for smart agricultureExplores the scope of computer vision technologies aid in precise crop managementHighlights the potential of energy optimization and environmental sustain- ability in agricultural practicesThis reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.

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 managementCovers smart IoT framework for precision agricultureIncludes topics related to deep learning techniques combined with IoT for smart agricultureExplores the scope of computer vision technologies aid in precise crop managementHighlights the potential of energy optimization and environmental sustain- ability in agricultural practicesThis reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.

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.

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.