1st Edition

Artificial Intelligence and Computer Vision for Ecological Informatics

402 Pages 16 Color & 64 B/W Illustrations
by CRC Press

402 Pages 16 Color & 64 B/W Illustrations
by CRC Press

Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis... Read more

 

Preface  

1. Drone Importance and their Necessity in Future Generation Agriculture

Siddharth Singh Chouhan, Rajneesh Kumar Patel, Anju Shukla, and Uday Pratap Singh

2. Advances in Wildfire Spread Detection and Prediction: Techniques, Challenges, and Applications

Rufai Yusuf Zakari, Kassim Kalinaki, Zaharaddeen Karami Lawal and Najib Abdulrazak

3. Leveraging Remote Sensing for Agriculture Mapping: Techniques, Applications, and Future Directions

Rufai Yusuf Zakari, Zaharaddeen Karami Lawal, Kassim Kalinaki and Wasswa Shafik

4. Basil Crop Detection Using Computer Vision and Deep Learning Approach

Rajneesh Kumar Patel, Siddharth Singh Chouhan, Thota Chandan and Uday Pratap Singh

5. Remote Sensing for Agriculture Mapping

Kurru Charitha, Mohammed Umar Ali and Chitteti Divya

6. Advances of Remote Sensing Technologies in Agriculture: Current Progress and Future Perspectives

Bhabani Prasad Mondal, Sumanta Das, Suman Dutta and Ali R A Moursy

7. Remote Sensing for Sustainable Agriculture: A Machine Learning Approach to Optimizing Farm Yield and Economic Returns

Harshit Mishra, Supriya and Shripati Dwivedi

8. Leveraging AI and CV Technologies to Advance Water Quality Assessment in Ecological Informatics

Karan Gehlot, Anil Dhanda, Prawar and Chintan Singh

9. Tracing Plant Growth Patterns: Employing Artificial Intelligence and Computer Vision for Explicit Mapping

Monica Sankat, Ram Kumar and Kumari Shivangivi 

10. AI-Driven Circular Economy: Innovations in Agro and Food Waste Management

Sachin Rathour and Evans Kemboi

11. Advancements in Machine Learning for Water Quality Assessment

Rashmi Yadav, Ajay N Satpute, Ajay Kushwah, Jitendra Kumar, Susama Sudhishri and Bandi Nageswar  

12. Enhancing Agricultural Support with AI in the Farmer ChatBot Framework

Jayanthi J, Arun Kumar K and Vimal Kumar Semwal

13. Federated Learning: A Game-Changer in Agricultural Decision-Making and Precision Farming

Sisir Kumar Rajbongshi, Rajdeep Ghosh, Kshirod Sarmah and Satyajit Sarmah

14. Clean Streams, Clear Futures: AI Innovations in Water Quality Monitoring

Anuradha Devi

15. Transforming Waste into Resources: AI’s Impact on Wastewater Treatment

Ayushi Jha, Subharojyoti Bhattacharjee, J Veeranna and Narender Pal

16. Soil Moisture Evaluation by Artificial Intelligence and Computer Vision

Manimaran G, Avinash K, Mageshen VR, Kamalesh Kanna S and Aswitha K

17. Crop Yield Estimation

M Salomi, JK Kiruthika, S Samsudeen and G Maragatham

18. Soil Fertility Evaluation

VR Mageshen, G Manimaran, K Aswitha and S Thirumeninathan

19. Advancements in Soil Moisture Evaluation: Sensors, Remote Sensing and Artificial Intelligence

Ayushi Jha, Ankita Shinde, Jatinder Kaur, Isha Swati, Rajat Mishra and Sanskriti Sundar

20. Sustainable Agriculture: Economic Perspectives on AI and ML in Crop Yield Estimation

Harshit Mishra and Aditya Bhooshan Srivastava

Index

 

About the Authors

Biography

Dr. Siddharth Singh Chouhan is an Assistant Professor in School of Computing Science and Engineering, VIT Bhopal University, Kothri-Kalan, Sehore, India. He has a PhD in Computer Science and Engineering from Shri Mata Vaishno Devi University Katra, India. He is a PostDoctorate from the University of Malta, Malta. He has a BTech degree (2010) and a MTech (2013) in Computer Science and Engineering from RGPV University, Bhopal, India. His areas of interest include Soft Computing, Computer vision, Drone Technology, Deep Learning, and Precision Agriculture. He had authored several research papers in many reputed journals and conferences.

Prof. Uday Pratap Singh is a Professor in the Department of Mathematics, Central University of Jammu, Jammu, India. He completed his BSc and MSc (Mathematics and Statistics) from Dr. R.M.L. (Avadh) University, Ayodhya, India, and again did his MSc (Mathematics and Computing) from Indian Institute of Technology, Guwahati, India, and a PhD in Computer Science from Barkatullah University, Bhopal. His areas of interest include Soft Computing, Nonlinear Systems, and Image Processing. He had authored several research papers in the many reputed journals and conferences. He is a life member of Soft Computing Research Society (SCRC), Barata Ganita Parishad, Computer Society of India and Member of IEEE and AMS.

Prof. Akash Saxena has a PhD and Master of Technology degree (with Honours) in Electrical Engineering from Malaviya National Institute of Technology, Jaipur in 2015 and 2008 respectively and a Bachelor of Engineering degree (with Honours) in Electrical Engineering from Engineering College Kota in 2001. Prof Saxena is working as (Director of Training and Placement) and Professor in Department of Electrical Engineering Central University of Haryana, India with almost two decades of teaching experience. As an academician, he has been associated with numerous institutions. He is a member of Doctoral Research Committee and a member of the Board of Studies. He has presented his research work at various platforms to showcase his findings to fellow researchers and provide a pathway to the future researchers. His works have been published in leading journals in the form of short communication/letters /articles/research papers.

Prof. Akhilesh Tiwari is a Professor in Department of Information Technology, MITS Gwalior, MP, India. He has a Bachelor degree and Master’s degree in Information Technology from RGPV Bhopal, India, and a PhD in Information Technology. His area of research interests includes Knowledge Discovery in Databases & Data Mining, Terrorist Network Mining, Hesitation Mining and Pattern Warehousing. He has published more than 80 research papers in reputed journals and conferences published by leading publishers with SCI, SCIE and SCOPUS indexing. 

Prof. Sanjeev Jain is a Vice Chancellor of the Central University of Jammu, India. He has a Master’s degree in Computer Science and Engineering from IIT Delhi, India, in 1992, and a PhD in Computer Science and Engineering. He has over 35 years of experience in teaching, research and administration. He has the credit of making a significant contribution to research and development in the area of image processing, soft computing, IoT and mobile ad-hoc network. He had authored several research papers in the many reputed journals and conferences. He has undertaken a number of major research and development government sponsored and private projects. He is a member of various societies like the Computer Society of India, IEEE.