Optimizing Smart and Sustainable Agriculture for Sustainability
暫譯: 優化智慧與永續農業以達成可持續性

Acharya, Biswaranjan, Bansal, Ankita, Jain, Abha

  • 出版商: CRC
  • 出版日期: 2025-07-07
  • 售價: $5,020
  • 貴賓價: 9.5$4,769
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032657944
  • ISBN-13: 9781032657943
  • 尚未上市,無法訂購

相關主題

商品描述

This reference text addresses the importance of smart crop management for increasing yield and presents a framework for smart monitoring and regulation of crop observation. Further, it comprehensively covers important topics such as spatial decision support systems for precision farming, swarm intelligence in the optimal management of aquaculture farms, and intelligent harvesting algorithms for improving productivity.

This book:

- Presents meta-heuristic algorithms for optimization, economic crop planning, and use of effective water resource management.

- Discusses spatial decision support systems for crop productivity management, watershed management, and precision farming.

- Illustrates swarm intelligence-based optimization techniques, data mining, and machine learning methods for aquaculture operations.

- Highlights artificial intelligence and machine learning-based harvesting

algorithms for improving productivity.

- Explains the use of green Internet of Things security solutions for agriculture, plant condition management, and greenhouse simulation.

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, agricultural science, and information technology.

商品描述(中文翻譯)

這本參考書籍探討了智慧作物管理對提高產量的重要性,並提出了一個智慧監測和調節作物觀察的框架。此外,它全面涵蓋了精準農業的空間決策支援系統、在水產養殖場最佳管理中的群體智慧,以及改善生產力的智能收割演算法等重要主題。

本書:

- 提出了用於優化、經濟作物規劃和有效水資源管理的元啟發式演算法。
- 討論了作物生產力管理、流域管理和精準農業的空間決策支援系統。
- 說明了基於群體智慧的優化技術、資料挖掘和機器學習方法在水產養殖操作中的應用。
- 突出了基於人工智慧和機器學習的收割演算法,以提高生產力。
- 解釋了綠色物聯網安全解決方案在農業、植物狀況管理和溫室模擬中的應用。

本書主要為電機工程、電子與通信工程、計算機科學與工程、農業科學及資訊科技領域的研究生和學術研究人員所撰寫。

作者簡介

Biswaranjan Acharya earned his M.C.A. degree from IGNOU, New Delhi, India, in 2009; an M.Tech. degree in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India, in 2012; and a Ph.D. in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India, in 2024. He is an assistant professor in the Department of Computer Engineering-AI and BDA at Marwadi University, Gujarat, India. He received a research fellowship at INTI International University from December 15, 2023, to December 31, 2025. He has more than 10 years of academic experience at reputed institutions such as Ravenshaw University and has also worked in the software development industry. He has coauthored more than 70 research articles in internationally reputed journals and serves as a reviewer for several peer-reviewed journals. Additionally, he holds more than 50 patents. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and the Internet of Things (IoT). He is currently serving as a secondary IEEE Computer Society representative to the IEEE Nanotechnology Council (NTC) Administrative Committee and as an observer of the IEEE P2851 Standard for Functional Safety Data Format. He is also associated with various educational and research societies, including IACSIT, CSI, IAENG, and ISC. Google Scholar Profile: Biswaranjan Acharya (ବିଶ୍ୱରଂଜନ ଆଚାର୍ଯ୍ୟ) SMIEEE--Google Scholar.

Ankita Bansal is an assistant professor in the Department of Information Technology in Netaji Subhas University of Technology. She has teaching experience of more than 10 years. She was awarded a doctoral degree in Computer Science from Delhi Technological University (DTU, formerly DCE). From the same university, she has earned her master's degree in Computer Technology and Applications and secured rank 1 in the same. She has published more than 40 papers in reputed international journals and conferences. She has several edited books to her credit. Her research interests are computational intelligence, software testing, software quality, software metrics, developing quality prediction models. Google Scholar: ankita Jain bansal Google Scholar.

Abha Jain is an assistant professor in the Department of Computer Science, Dyal Singh College, University of Delhi. Prior to joining the college, she worked as full-time research scholar and received a doctoral research fellowship from Delhi Technological University (formerly Delhi College of Engineering). She earned her master's and doctorate degrees in Software Engineering from Delhi Technological University. Her research interests are data mining, software quality, and statistical and machine learning models. She has published papers in international journals and conferences.

Rachna Jain is as an associate professor at Bhagwan Parshuram Institute of Technology (GGSIPU) since August 2021. She worked as an assistant professor (Computer Science Department) at Bharati Vidyapeeth's College of Engineering (GGSIPU) from August 2007 to August 2021.She completed her Ph.D. in Computer Science from Banasthali Vidyapith in 2017. She earned her M.E. degree in 2011 from Delhi College of Engineering (Delhi University) with specialization in Computer Technology and Applications. She completed her B.Tech (Computer Science) in 2006 from N.C. College of Engineering, Kurukshetra University. Her current research interests are cloud computing, fuzzy logic, network and information security, swarm intelligence, big data and IoT, deep learning, and machine learning. She has contributed with more than 25 book chapters in various books. She has also served as session chair in various international conferences. She was CO-PI of DST Project titled "Design an autonomous intelligent drone for city surveillance". She has a total of 18 years of academic/research experience with more than 100 publications in various national, international conferences, and international journals (Scopus/ISI/SCI) of high repute. Google Scholar link: Rachna Jain--Google Scholar.

Joel J. P. C. Rodrigues is with the Federal University of Piauí, Brazil, and Leader of Center for Intelligence at Fecomércio/CE, Brazil. Prof. Rodrigues is an Highly Cited Researcher (Clarivate), N. 1 of the top scientists in computer science in Brazil (Research.com), the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis - Covilhã Science and Technology Park. He was Director for Conference Development - IEEE ComSoc Board of Governors, an IEEE Distinguished Lecturer, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications Co-Chair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1300 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of AAIA and IEEE.

作者簡介(中文翻譯)

Biswaranjan Acharya 於2009年獲得印度新德里IGNOU的碩士學位(M.C.A.);2012年獲得印度奧里薩邦Rourkela的Biju Patnaik科技大學(BPUT)計算機科學與工程碩士學位(M.Tech.);並於2024年獲得印度奧里薩邦Burla的Veer Surendra Sai科技大學(VSSUT)計算機科學博士學位(Ph.D.)。他是印度古吉拉特邦Marwadi大學計算機工程-AI與BDA系的助理教授。他於2023年12月15日至2025年12月31日獲得INTI國際大學的研究獎學金。他在Ravenshaw大學等知名機構擁有超過10年的學術經驗,並曾在軟體開發行業工作。他共同撰寫了超過70篇國際知名期刊的研究文章,並擔任多本同行評審期刊的審稿人。此外,他擁有超過50項專利。他的研究興趣包括多處理器排程、數據分析、計算機視覺、機器學習和物聯網(IoT)。他目前擔任IEEE計算機學會的次要代表,參與IEEE納米技術委員會(NTC)行政委員會,並作為IEEE P2851功能安全數據格式標準的觀察員。他還與多個教育和研究社團有關聯,包括IACSIT、CSI、IAENG和ISC。Google Scholar個人檔案:Biswaranjan Acharya(比斯瓦蘭詹·阿查里亞)SMIEEE--Google Scholar。

Ankita Bansal是Netaji Subhas科技大學資訊科技系的助理教授。她擁有超過10年的教學經驗。她在德里科技大學(DTU,前身為DCE)獲得計算機科學博士學位。她在同一所大學獲得計算機技術與應用碩士學位,並在該學位中獲得第一名。她在國際知名期刊和會議上發表了超過40篇論文,並擁有多本編輯書籍。她的研究興趣包括計算智能、軟體測試、軟體質量、軟體度量和開發質量預測模型。Google Scholar:ankita Jain bansal Google Scholar。

Abha Jain是德里大學Dyal Singh學院計算機科學系的助理教授。在加入該學院之前,她曾擔任全職研究學者,並獲得德里科技大學(前德里工程學院)的博士研究獎學金。她在德里科技大學獲得軟體工程的碩士和博士學位。她的研究興趣包括數據挖掘、軟體質量以及統計和機器學習模型。她在國際期刊和會議上發表了多篇論文。

Rachna Jain自2021年8月起擔任巴格萬·帕爾舒拉姆科技學院(GGSIPU)的副教授。她於2007年8月至2021年8月在巴哈拉提·維迪亞比特工程學院(GGSIPU)擔任助理教授(計算機科學系)。她於2017年在巴納斯塔利大學獲得計算機科學博士學位。她於2011年在德里工程學院(德里大學)獲得計算機技術與應用的碩士學位。她於2006年在庫魯克舍特拉大學的N.C.工程學院獲得計算機科學的學士學位。她目前的研究興趣包括雲計算、模糊邏輯、網絡與信息安全、群體智能、大數據與物聯網、深度學習和機器學習。她在各種書籍中貢獻了超過25章的書籍章節,並在多個國際會議中擔任會議主席。她曾擔任名為「設計一個自主智能無人機進行城市監控」的DST項目的共同主研。她擁有18年的學術/研究經驗,並在各種國內、國際會議和高聲譽的國際期刊(Scopus/ISI/SCI)上發表了超過100篇論文。Google Scholar鏈接:Rachna Jain--Google Scholar。

Joel J. P. C. Rodrigues任職於巴西皮奧伊聯邦大學,並擔任巴西Fecomércio/CE智力中心的負責人。Rodrigues教授是高被引研究者(Clarivate),在巴西計算機科學領域的頂尖科學家中排名第一(Research.com),是下一代網絡與應用(NetGNA)研究小組的負責人(CNPq),IEEE通訊學會在IEEE生物識別委員會的成員代表,以及ParkUrbis - Covilhã科學與技術園區科學委員會的主席。他曾擔任IEEE ComSoc董事會的會議發展主任、IEEE傑出講者、IEEE ComSoc拉丁美洲區董事會的技術活動委員會主席、IEEE ComSoc技術委員會(TC)在eHealth和通訊軟體方面的前任主席、IEEE生命科學技術社區的指導委員會成員及出版共同主席。他是《國際電子健康與醫療通訊期刊》的主編,並擔任多本高聲譽期刊的編輯委員會成員(主要來自IEEE)。他曾擔任多個國際會議的總主席和TPC主席,包括IEEE ICC、IEEE GLOBECOM、IEEE HEALTHCOM和IEEE LatinCom。他已在經過審核的國際期刊和會議上發表或共同發表了約1300篇論文、3本書籍、2項專利和1項ITU-T建議。他曾獲得IEEE通訊學會的多項傑出領導和傑出服務獎以及多項最佳論文獎。Rodrigues教授是互聯網協會的成員,ACM的高級會員,以及AAIA和IEEE的院士。