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B01=Arun Balakrishnan
B01=Bijay Kumar Paikaray
B01=Ming Yang
B01=Suneeta Satpathy
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Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency

English

This book explores the transformative potential of ML technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how 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. They 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 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.

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Original price €112.99
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Age Group_Uncategorizedautomatic-updateB01=Arun BalakrishnanB01=Bijay Kumar PaikarayB01=Ming YangB01=Suneeta SatpathyCategory1=Non-FictionCategory=KNACCategory=TJFM1Category=TQCategory=TVBCategory=TVDCategory=TVPCategory=UBCategory=UMBCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 25 Nov 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Nov 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032777498

About

Dr. Suneeta Satpathy PhD is an Associate Professor in Center for AI & ML Siksha 'O' Anusandhan (Deemed to be) University Odisha India. Her research interests include computer forensics cyber security data fusion data mining big data analysis decision mining and machine learning. She has published papers in many international journals and conferences in repute. She has two Indian patents in her credit and is a member of IEEE CSI ISTE OITS and IE.Dr. Bijay Kumar Paikaray PhD is an Associate Professor at the Center for Data Science Siksha 'O' Anusandhan (Deemed to be) University Odisha. His interests include high-performance computing information security machine learning and IoT.Dr. Ming Yang has a Ph.D. in Computer Science from Wright State University Dayton Ohio US 2006. Currently he is a Professor in the College of Computing and Software Engineering Kennesaw State University GA USA. His research interests include multimedia communication digital image/video processing computer vision and machine learning.Dr. Arunkumar Balakrishnan PhD holds the position of Assistant Professor Senior Grade in the Computer Science and Engineering department at VIT-AP University. He obtained his Ph.D. in Information Science and Engineering from Anna University Chennai. He possesses 12 years of academic expertise and an additional 6 years of concurrent research experience in the domains of Cryptography Medical Image Security Blockchain and NFT. His research interests encompass Cryptography Network Security Medical Image Encryption Blockchain lightweight cryptography methods and NFT.

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