Machine Learning Applications for Agriculture Sector - Yield Improvement Approach - Front Cover

Machine Learning Applications for Agriculture Sector - Yield Improvement Approach - Back Cover

Machine Learning Applications for Agriculture Sector - Yield Improvement Approach

Author(s): Dr. Anil Trimbakrao Gaikwad Mr. Deepak V. Ulape Dr. Ravindra M. Huddar Mrs. Megha Sagar Patil Mr. Hanifkha Hamidkha Pathan

337

Language:
English

ISBN13:
9789369260874

ISBN10:
9369260870

Format:
Paperback

Trim:
6x9

Pages:
141

Publication date:
08-Jun-2026

Available, Ships in 3-5 days
10 Days Replacement Policy

Machine Learning Applications for Agriculture Sector: Yield Improvement Approach explores the transformative role of AI and machine learning in modern agriculture. It highlights advanced techniques for crop monitoring, yield prediction, and efficient resource management. Designed for students, researchers, government officials, industry professionals, and farmers, the book provides practical insights into technology-driven farming solutions and contributes significantly to sustainable agricultural development and productivity enhancement.

Dr. Anil Trimbakrao Gaikwad

Dr. Anil Gaikwad is a Professor and Associate Dean at the School of Commerce and Management and School of Agri-Business Management, D.Y. Patil Agriculture and Technical University, Talasande, Kolhapur, since November 2022.

Mr. Deepak V. Ulape

Prof. Deepak V. Ulape is an Assistant Professor at MIT College of Management, MIT ADT University, Pune. He holds an MCA degree and is currently pursuing a Ph.D. from Shivaji University, Kolhapur. With over a decade of teaching experience, his expertise includes Artificial Intelligence, Machine Learning, Web Technologies, Data Science, and technology-enabled learning systems.

Dr. Ravindra M. Huddar

Mrs. Megha Sagar Patil

Dr. Ravindra Maruti Huddar is an Assistant Professor at D. Y. Patil School of Engineering and Management, Kolhapur. With 25 years of experience, he specializes in programming, software development, Artificial Intelligence, and Data Science. He has published eight research papers, presented over 15 papers at conferences, and authored two books. Mrs. Megha Sagar Patil is an experienced academician with over 16 years of teaching in Computer Science and Information Technology. She holds M.Sc. (Computer Science), MBA, and SET qualifications.

Mr. Hanifkha Hamidkha Pathan

Prof. Hanifkha Hamidkha Pathan is an Assistant Professor at MIT ADT University, Pune, with over 18 years of teaching experience. A Cloud and Data Science Engineer with 8+ years of industry expertise, he specializes in AWS-based solutions, Machine Learning, AI services, Data Science Engineering, and cloud-native architectures across finance and communication domains.