Computer Science & Information Management

Sustainable Smart Agriculture 2.0
Drones, Robots, and Intelligent Computing Redefining Precision Agriculture



Sustainable Smart Agriculture 2.0

In Production
Pub Date: Forthcoming April 2026
Hardback Price: $200 US | £150 UK
Hard ISBN: 9781779643896
E-Book ISBN: 9781779643902
Pages: est 545pp w/ index
Binding Type: Hardback / ebook
Notes: 152 b/w illustrations

This new book, Sustainable Smart Agriculture 2.0: Drones, Robots, and Intelligent Computing Redefining Precision Agriculture, offers comprehensive information on the latest technological advancements and promising smart farming techniques that offer a significant means of preserving sustainability in both precision and smart farming in the modern farming environment.

The book demystifies contemporary smart farming methods used worldwide to produce a variety of health food crops, preserve the longevity of crops, grow multiple crops more efficiently, and provide a range of resources required for successful smart farming techniques. It explores the cutting-edge technologies such as artificial intelligence, machine learning and deep learning algorithms, computer vision, edge computing, the Internet of Things, modern advanced sensors, data science and analytics, and soil classification techniques for increased crop yield while also explaining the distinctions between traditional and modern farming methods.

Serving as a useful resource for in-depth knowledge about preserving agricultural sustainability worldwide with the latest technological advancements, this volume will be of benefit and interest to government and private agricultural professionals as well agricultural researchers and faculty and students in agricultural science interested in the field of smart farming and precision agriculture.

CONTENTS:

Preface

1. Importance of Smart Farming and the Need for Precision Agriculture
Sumathi M. R. and Sudha Ramkumar A.

2. Significance of Smart Farming and Imperative for Precision Agriculture
Rekha R. Nair, Tina Babu, Kishore S, and Ebin P. M

3. The Evolution of Agricultural Practices: Traditional Methods vs. Modern Innovations
Elakkiya Elango, Gnanasankaran Natarajan, Ilavarasi Raman, and Ahamed Labbe Hanees

4. Key Parameters for Implementing Effective Smart Farming Techniques
Akey Sungheetha, B. Priestly Shan, Rajesh Sharma R., and S. P. Premnath

5. The Transformative Influence of AI in Farming: Practical Examples and Roadblocks
Prakash J., Anitha G., and Gnanasankaran Natarajan

6. AI-ML Decision System for Effective Farming: Optimizing Pesticide and Fertilizer Selection Using Crop Survey Data
Padmavati E Gundgurti, Suparna Das, Sivaraman Eswaran, and Nara Poojitha

7. From Field to Edge: AI-Enabled Robotics in Rice Farming: Monitoring, Control, and Sustainability
Sharon Christa, Suma V., Surendiran Balasubramanian, Riya Sharma, and Aditya Pai H.

8. The Importance of Machine Learning and Deep Learning Algorithms in Precision Agriculture
Latha Narayanan Valli, N. Sujatha, Mukul Mech, and Lokesh V. S.

9. The Modern Way to Analyze Crop Disease Using Machine Learning Methods: A Detailed Study
G. B. Govindaprabhu, T. S. Urmila, C. Jayapratha,Gnanasankaran Natarajan, and M. Sumathi

10. Unveiling Machine Learning Solutions for Crop Disease Prediction
Sandhya Soman, Suresh K., Gnanasankaran Natarajan, Cecil Donald, and Sundaravadivazhagan Balasubramaniam

11. Machine Learning and Deep Learning Algorithms for Crop Monitoring
Mahalakshmi Jeyabalu, Balakrishnan Chinnayan, Gnanasankaran Natarajan, and Gayathry S. Warrier

12. Early Detection of Crop Diseases in Indian Cash Crops Using Transfer Learning and Vision Transformers Models
S. Muthukumar, S. M. Keerthana, S. Murugaanandam, G. Smilarubavathy, and R. Sarath Kumar

13. Analyzing and Selecting Optimal Pesticide and Fertilizer Using ResNet-152
V. Sudha, S. Hemalatha, U. Hemalatha, S. Sangeetha, and S. Tamil Selvi

14. Harnessing Data Analytics for Precision Agriculture and Enhanced Crop Monitoring
Tina Babu, Rekha R. Nair, Ebin P. M., and Kishore S.

15. Role of Data Analytics in Precision Agriculture and Crop Monitoring
Mohamed Ansari Raja, Parvin Banu, Nooriya Begam, Ramasamy Vidhyavathi, and B. Sundaravadivazhagan

16. Smart Farming and the Emergence of Aquaponics
Divya Vijay, R. Durga Devi, and R. Jayashree

17. Utilizing Modern High-End Sensors for Data Gathering in Smart Farming
Akey Sungheetha, B. Priestly Shan, Rajesh Sharma R., Cristian Mateos, Claudio F. Machado, and V. Sindhu

18. Smart Urban Farming: Merging IoT and Solar Innovation in Sustainable Agriculture
R. Durga Devi, Divya Vijay, and R. Jayashree

19. The Role of the Internet of Things in Precision Agriculture: Use Cases, Applications, and Challenges
B. Subashini, S. R. Raja, Gnanasankaran Natarajan, J. Relin Francis Raj, and Sundaravadivazhagan Balasubramanian

20. Unlocking Sustainable Advanced and Smart Agriculture with Drones
Mohammad Shahnawaz Shaikh

21. Exploring Research Directions and Overcoming Challenges in Using Aerial Robots for Sustainable Smart Agriculture
T. Nivethitha, A. Kishore Kumar, S. Sheebarani Gnanamalar, and Lakshmana Kumar R.

22. Artificial Intelligence-Based Models for Predicting Soil Hydraulic and Cracking
Rakesh Gnanasekaran, Gnanasankaran Natarajan, and M. Karthikeyan

23. Edge Computing in Smart Farming: Reducing Latency and Improving Real-Time Decision-Making
Hrishikesh G. Kokate, Dhanashri Sanadkumar Havale, and Sharvari Patil

24. Solar-Based Grass Cutter with Garbage Collector: A Practical Approach
Tanuja H. and Shruthi R. Gunga

25. Overall Improvements to Increase Crop Yield for Better Living
Om Prakash, S. Jeevitha, D. Nathiya, J. Satheesh Kumar, and Amrita Rai

Index






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