Buch, Englisch, 264 Seiten, Format (B × H): 178 mm x 254 mm
Reihe: Nextgen Agriculture
Concepts, Strategies, and Case Studies
Buch, Englisch, 264 Seiten, Format (B × H): 178 mm x 254 mm
Reihe: Nextgen Agriculture
ISBN: 978-1-032-97213-8
Verlag: Taylor & Francis Ltd
As climate variability intensifies and pressure on natural resources grows, the need for smarter, data-driven crop management has never been greater. Precision Agriculture presents a forward-looking yet practical examination of how advanced technologies are reshaping modern farming into a more productive, efficient, and sustainable enterprise.
Precision Agriculture: Concepts, Strategies, and Case Studies brings together leading experts from agriculture, data science, engineering, and agricultural policy to explore the integration of artificial intelligence, machine learning, remote sensing, geospatial technologies, IoT-enabled systems, and decision-support tools. Moving beyond conceptual discussions, the book emphasizes real-world implementation through applied frameworks and case studies that demonstrate improved yield optimization, resource-use efficiency, and climate resilience across diverse agro-ecological settings.
In addition to technological innovation, the volume addresses the policy, regulatory, and ethical dimensions essential for responsible digital transformation in agriculture. By combining current advances with emerging trends, it equips readers with both operational insights and strategic foresight necessary to navigate the evolving landscape of smart farming.
Serving as both a reference and a practical guide, this book is designed for researchers, agricultural professionals, policymakers, and postgraduate students seeking to harness precision technologies for sustainable and climate-resilient crop production. As part of the Nextgen Agriculture: Novel Concepts and Innovative Strategies series, this book offers the analytical depth and applied orientation required to support informed decision-making and long-term agricultural transformation.
Zielgruppe
Academic, Postgraduate, and Professional Reference
Autoren/Hrsg.
Weitere Infos & Material
1. Transforming Agriculture through Emerging Technologies for Sustainable Productivity
Md. Kamaruzzaman, Subhasis Bhaumik
2. Precision Agriculture: Evolution, Methodologies, and Applications
Paramanand V. Nandihal
3. Sensors and IoT in Agriculture:Challenges and Future Directions
Quazi Mohmmad Alfred, Sain Shaikh
4. Data Management and Integration in Precision Agriculture
Abhishek Rathore, Sarita Pandey
5. Smart Farming with AI Enhancing Automation and Data Driven Insights
Yashmeet Kaur, Ritu, Divya Chaudhary, Priyanka Veerala, Rahul Kumar, Shalini P. Etukuri, Rupak Karn
6. Evaluating Approaches for Identifying and Classifying Plant Diseases: A Technical Comparison
Arghya Banerjee, Pravallika Sree Rayanoothala, Salma Kayastha, Sunita Mahapatra, Pawan Kumar Singh
7. Automation in Precision Agriculture: Integrating Intelligent Technologies for Sustainable, Efficient, and Precision Farming
Rajat Chatterjee, Soumitra Kumar Mandal
8. Innovative Approaches and Emerging Trends in Sensing and Monitoring Systems for Smart Agriculture
Md. Kamaruzzaman, Rafiqul Haque, Mukandar Sekh
9. Harnessing UAVs and Precision Phenotyping Sensors for Sustainable Agriculture
R Praviinkumar, P Rajalakshmi, Krishnaiah Jallu, Sean Mayes, Soumyashree Kar, Vincent Vadez, and Sunita Choudhary
10. Advances in Precision Agriculture Using AI
Naveen Arora, Daniel Menge
11. Plant Leaf Disease Detection Techniques: Innovations and Applications
Md. Mohinur Rahaman, and Md. Azharuddin
12. High-Throughput Technology for Accelerating Genomics
Poulami Bhattacharjee, Roma R Das
13. Role of AI and Robotics in Germplasm Collection and Conservation
Madhuparni Sen, Poulami Bhattacharjee, Fida Alo




