Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency (Artificial Intelligence for Sustainable Engineering and Management)
By: and and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices.Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies.This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781040254851
- Related ISBNs:
- 9781032777498, 9781040254783, 9781003484608
- Publisher:
- CRC Press
- Date of Addition:
- 11/25/24
- Copyrighted By:
- selection and editorial matter, Suneeta Satpathy, Bijay Kumar Paikaray, Ming Yang, and Arun Balakrishnan
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Earth Sciences
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Suneeta Satpathy
- Edited by:
- Bijay Kumar Paikaray
- Edited by:
- Ming Yang
- Edited by:
- Arun Balakrishnan
Reviews
Other Books
- by Suneeta Satpathy
- by Bijay Kumar Paikaray
- by Ming Yang
- by Arun Balakrishnan
- in Nonfiction
- in Computers and Internet
- in Technology
- in Earth Sciences