R. K. Naresh, S.S. Walia , N Ravisankar, R.K. Gupta, Sanjay Singh & Ramesh Kumar Sadavarti
| Select | Format | INR(₹) |
|---|---|---|
| Print Book | 3,250.00 2,925.00 10%Off |
Artificial intelligence (AI) is revolutionising modern agriculture, providing innovative solutions for crop management and transforming traditional farming practices. The book Artificial Intelligence in Agriculture: Revolutionising Crop Management delves into how AI-driven technologies are enhancing productivity, resource efficiency, and sustainability. By integrating machine learning, computer vision, and big data analytics, AI enables precision farming, where real-time monitoring and predictive analysis optimise decision-making for farmers. This advancement not only minimises input costs but also maximises yields by accurately predicting soil health, weather patterns, and pest infestations.
The book explores the role of AI-powered drones and autonomous machinery in field operations, reducing manual labour and increasing efficiency. These smart technologies enable targeted interventions, such as site-specific pesticide applications and automated irrigation, leading to more sustainable farming practices. AI-driven sensors and Internet of Things (IoT) devices continuously collect and process vast amounts of data, providing actionable insights that help in resource conservation and climate-resilient agriculture. AI applications in genetic research and plant breeding are also accelerating the development of high-yield, climate-adaptive crops, thereby addressing global food security challenges.
Furthermore, the book highlights real-world case studies where AI has successfully improved farm productivity and reduced environmental impact. It also examines challenges such as data privacy, technological accessibility for small-scale farmers, and the need for policy frameworks to regulate AI-driven agriculture. The discussion extends to the ethical implications of AI in food production and the potential for bridging gaps between technology and traditional farming knowledge. With rapid advancements in AI, this book provides a comprehensive understanding of how intelligent systems are shaping the future of agriculture, making farming smarter, more efficient, and sustainable for the next generation.
Preface
About the Book
Chapter 1: The
Evolution of AI in Agriculture
Chapter 2: AI
in Sustainable Agro-Ecosystem Management
Chapter 3:
AI-Powered Systems for Crop Rotation Management
Chapter 4: AI
for Enhancing Biodiversity in Crop Systems
Chapter 5: AI
and Machine Learning in Crop Diversification
Chapter 6: AI
in Soil Fertility and Nutrient Management
Chapter 7:
AI-Based Systems for Fertiliser Application
Chapter 8: AI
for Predictive Soil Health Management
Chapter 9: AI
for Enhancing Soil Microbial Diversity
Chapter 10: AI
in Weed Detection and Management
Chapter 11: AI
for Sustainable Water Usage in Agriculture
Chapter 12: AI
for Sustainable Agro-Waste Management
Chapter 13: AI
in Drone-Based Crop Spraying Technologies
Chapter 14: AI
for Climate Change Adaptation in Agriculture
Chapter 15: AI
for Smart Greenhouse Management
Chapter 16:
Machine Learning in Agricultural Risk Management
Chapter 17: AI
for Monitoring Soil Moisture and Temperature
Chapter 18: AI
for Enhancing Agrochemical Efficiency
Chapter 19:
Remote Sensing and AI for Crop Growth Monitoring
Chapter 20:
AI-Driven Farm Mechanisation and Automation
Chapter 21:
Robotics and AI in Automated Harvesting
Chapter 22:
Role of AI in Reducing Post-Harvest Losses
Chapter 23:
Role of AI in Food Processing
Chapter 24: AI
Forecasting for Agricultural Market Demand
Chapter 25: AI
in Vertical and Urban Farming Innovations
References
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