Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency

Satpathy, Suneeta, Kumar Paikaray, Bijay, Yang, Ming

Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency
  • 出版商: CRC
  • 出版日期: 2024-11-25
  • 售價: $4,510
  • 貴賓價: 9.5 折 $4,285
  • 語言: 英文
  • 頁數: 282
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032777494
  • ISBN-13: 9781032777498
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書探討了機器學習（ML）技術在農業中的轉型潛力。它深入研究了特定應用，例如作物監測、疾病檢測和畜牧管理，展示了人工智慧/機器學習（AI/ML）如何優化資源管理並提高農業實踐的整體生產力。

《透過機器學習實現可持續農業：提升生產力與效率》提供了與農業行業相關的AI和ML概念的深入概述。它討論了農業部門面臨的挑戰以及AI/ML如何應對這些挑戰。作者強調了AI/ML算法在植物疾病和害蟲檢測中的應用，並檢視了AI/ML在農業供應鏈管理和需求預測中的角色。書中還探討了AI/ML與農業機器人整合以實現自動化和效率的情況。作者還涵蓋了在畜牧管理中的應用，包括飼料配方和疾病檢測；他們還探討了AI/ML在畜牧行為分析和福利評估中的使用。最後，作者還探討了使用這些技術的倫理和社會影響。

本書可作為農業工程、精準農業和智慧農業學生的教科書，也可作為從事可持續農業應用的機器學習和深度學習專業人士的參考書。

作者簡介

Suneeta Satpathy, PhD, is an Associate Professor in the 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 to her credit and is a member of IEEE, CSI, ISTE, OITS, and IE.

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.

Ming Yang has a PhD 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.

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 PhD 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.

作者簡介(中文翻譯)

Suneeta Satpathy博士是印度奧迪沙Siksha 'O' Anusandhan（被認定為）大學人工智慧與機器學習中心的副教授。她的研究興趣包括電腦取證、網路安全、資料融合、資料探勘、大數據分析、決策探勘和機器學習。她在許多國際知名期刊和會議上發表了論文，並擁有兩項印度專利，還是IEEE、CSI、ISTE、OITS和IE的成員。

Bijay Kumar Paikaray博士是印度奧迪沙Siksha 'O' Anusandhan（被認定為）大學數據科學中心的副教授。他的研究興趣包括高效能計算、資訊安全、機器學習和物聯網。

Ming Yang於2006年在美國俄亥俄州的Wright State University獲得計算機科學博士學位。目前，他是美國喬治亞州Kennesaw State University計算與軟體工程學院的教授。他的研究興趣包括多媒體通信、數位影像/視頻處理、計算機視覺和機器學習。

Arunkumar Balakrishnan博士在VIT-AP大學的計算機科學與工程系擔任高級助理教授。他在印度金奈的Anna University獲得資訊科學與工程博士學位，擁有12年的學術專業經驗以及6年的相關研究經驗，研究領域包括密碼學、醫療影像安全、區塊鏈和NFT。他的研究興趣涵蓋密碼學、網路安全、醫療影像加密、區塊鏈、輕量級密碼學方法和NFT。

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