This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.
Binds the state-of-the-art use of data science concepts and applications Provides detailed insight to undertake large-scale projects dealing with digital agriculture Brings together a group of top scholars across the world on the much-debated issue of data science in agriculture
Sanjay Chaudhary
Digital Transformation Digital Agriculture Machine Learning Deep Learning Agriculture Transformation Internet of Things Smart Agriculture Agriculture Innovation Data Science Precision Agriculture Crop Monitoring System Agricultural Knowledge Management
“Reading this book is like taking a journey through old farming and new tech. … Digital ecosystem for innovation in agriculture is like a map for anyone interested in the future of farming. It’s not just for scientists and experts--anyone who wants to learn about how technology can help farms can find something interesting here.” (Shefali Naik, Computing Reviews, April 22, 2024)