1st Edition

Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops

242 Pages 8 Color & 37 B/W Illustrations
by CRC Press

242 Pages 8 Color & 37 B/W Illustrations
by CRC Press

The book Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops provides a comprehensive exploration of artificial intelligence techniques and their transformative role in promoting sustainable agriculture, particularly for Solanaceae crops such as tomato, potato, and eggplant. Focusing on disease detection and prediction, the book highlights advanced AI applications, including... Read more

Preface

1. Role of Solanaceous Crops in Global Food Security

Vikanksha, Arun Kumar and Jatinder Singh

2. Nutritional Value and Health Benefits of Solanaceous Crops  

Arun Kumar, Vikanksha and Jatinder Sing

3. Effect of Rhizospheric Population on Disease Resistance in Solanaceae Crops

S. Nabanita Kumar and P. Lalitha

4. Harnessing Deep Learning for Disease Detection and Classification in Solanaceae Crops: A Comprehensive Review and Future Outlook

Neeraj Mathur, Rashmi Mathur and Krishnesh Mathur

5. Cutting-Edge Techniques Highlighted for Disease Detection and Classification in Solanaceae Crops

Kande Archana, V. Kamakshi Prasad, Gadiparthi Manjunath, Grandhe Padmaja and S. K. Khaja Shareef

6. A Comprehensive Review on Application of Artificial Intelligence for Sustainable Potato Farming and Future Scope

Lakshman Chandra Pal

7. Artificial Intelligence in Agriculture: Exploring Trends, Challenges, and Future Directions

Deepak Hajoary and Raju Narzary

8. AI-Driven Automation in Solanaceae Farming for Disease and Pest Management

Prabhjeet Kaur, Lokesh Jasrai, Luxmi, Vishnu Kirthi and Amanpreet Kaur

9. Demystifying the Role of Deep Learning Models for Disease Detection and Classification in Solanaceae Crops

Tarandeep Kaur, Sartaj Singh and Mithilesh Kumar Dubey

10. Cutting Edge Techniques for Disease Detection in Solanaceous Crops

K. Kayalvizhi, Sabia Majid, Saima Gani, Asha Nabi, M.D. Shah, Kounser Javeed, Insha Shaffie, Toiba Firdous and Iram Iqbal

11. Artificial Intelligence for Precision Cultivation of Solanaceae Crops: Enhancing Yield and Resource Efficiency

Prasann Kumar and Mithilesh Kumar Dubey

12. An Integrated Framework for Automatic Irrigation for Solanaceae Crops using Feedback Learning with Multimodal Optimizations

Tarandeep Kaur

Index

Biography

Mithilesh Kumar Dubey is a distinguished academician and researcher with over 18 years of experience in Computer Science and Engineering. He has published 90+ research papers, been granted 21 patents from Government of India, authored books, and presented at leading global conferences. His expertise spans Artificial Intelligence, Data Science, Plant & Brain Disease Detection, E-Healthcare, Higher Education Policy, Innovation, and Entrepreneurship. With proven leadership in curriculum design, quality assurance, and academic governance aligned with UGC, AICTE, NAAC, and NBA guidelines, Prof(Dr.) Dubey is widely recognized for his dedication to student mentoring, academic excellence, and societal development.

 

Kajal Verma is currently pursuing a Ph.D. in the School of Computer Science and Engineering at Lovely Professional University, Punjab, India. Her research is centered on the integration of Artificial Intelligence (AI) techniques to promote sustainable agriculture, with a particular focus on developing intelligent systems for crop monitoring, disease detection, and precision farming. Over the course of her academic career, she has made substantial contributions to the research community, publishing numerous articles in high-quality, peer-reviewed national and international journals as well as presenting her work at prominent conferences. In addition to her research, she actively contributes to the scientific community by serving as a reviewer for IEEE publications, ensuring the quality and rigor of research in the fields of AI and smart agriculture.

 

Khalil Ahmed is currently serving as a Senior Research Fellow in the School of Computer Science and Engineering at Lovely Professional University, Punjab, India. His primary areas of research include Artificial Intelligence, Smart Cities, Computer System Architecture, and Sustainable Agriculture, with a key focus on developing intelligent AIoT systems and architecture to address real-world agricultural challenges. He has contributed significantly to the academic community by publishing several research papers in peer-reviewed national and international journals and conference proceedings.

 

Sudha Dubey is currently serving as an Assistant Professor in the Faculty of Sociology at Lovely Professional University, Jalandhar, Punjab. She earned her Ph.D. from Mahatma Gandhi Kashi Vidyapeeth, Varanasi, U.P., and has developed a strong academic focus on areas such as gender empowerment, social issues, and environmental studies. Dr. Dubey actively mentors research scholars, with four of them currently pursuing their doctoral studies under her guidance, while three having successfully completed their Ph.D. programs under her supervision. In addition to her teaching and mentorship, she has made significant contributions to the study of marriage and kinship, social stratification, media, and the intersection of sociology with emerging technologies such as Artificial Intelligence. Her work continues to advance knowledge and understanding in both traditional sociological domains and contemporary interdisciplinary fields.