Transforming Agriculture with AI for Smart and Sustainable Farming
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Beschreibung
This book presents a structured academic overview of artificial intelligence as an integral part of modern agricultural systems. It brings together technological, biological, and sustainability perspectives to frame agriculture as a data‑driven and adaptive domain. The book compiles recent developments and practical insights into a single reference that supports teaching, research, and informed decision‑making. Each chapter contributes to a unified narrative that connects intelligent technologies with real agricultural contexts.
The chapters begin with digital farming concepts and precision‑based practices supported by data, sensors, and intelligent models. They move through autonomous machinery, robotics, and drone‑enabled operations, followed by crop breeding, plant health assessment, and pest and disease management.
It serves as a useful reading resource for postgraduate students, researchers, and academicians in agriculture, life sciences, and allied computing disciplines. It also supports professionals, policymakers, and domain experts seeking a consolidated academic reference on intelligent and sustainable farming systems.
This book presents a structured academic overview of artificial intelligence as an integral part of modern agricultural systems. It brings together technological, biological, and sustainability perspectives to frame agriculture as a data‑driven and adaptive domain. The book compiles recent developments and practical insights into a single reference that supports teaching, research, and informed decision‑making. Each chapter contributes to a unified narrative that connects intelligent technologies with real agricultural contexts.
The chapters begin with digital farming concepts and precision‑based practices supported by data, sensors, and intelligent models. They move through autonomous machinery, robotics, and drone‑enabled operations, followed by crop breeding, plant health assessment, and pest and disease management.
It serves as a useful reading resource for postgraduate students, researchers, and academicians in agriculture, life sciences, and allied computing disciplines. It also supports professionals, policymakers, and domain experts seeking a consolidated academic reference on intelligent and sustainable farming systems.
Bridges research and real‑world farming with global case studies and practical adoption strategies Explores future‑ready farming systems using AI to enhance climate resilience, equity, and global food security Integrates AI, robotics, and bioscience to deliver end‑to‑end solutions for smart, sustainable agriculture
Autor*in
Siddharth Singh Chouhan
Themen in »Transforming Agriculture with AI for Smart and Sustainable Farming«
Crop Health Monitoring Agri‑Food Supply Chain Intelligence AI‑Driven Precision Agriculture Sustainable Smart Agriculture Next‑Generation Agricultural Technologies Global Food Security Climate‑Resilient Farming Autonomous Farming Systems