Plant Disease Detection Using Machine Learning, Deep Learning, and Metaheuristics
暫譯: 使用 Machine Learning、Deep Learning 與 Metaheuristics 進行植物病害偵測

本書探討 Machine Learning（ML）、Deep Learning（DL）與後設啟發式最佳化技術如何徹底革新植物疾病偵測與農業智慧化。不同於傳統農學方法，本書將先進的計算方法與現實世界的農業需求相結合，兼顧科學與實務層面，聚焦於以影像為基礎的疾病偵測、感測器資料解讀、預測模型最佳化，以及實際部署策略。本書從技術、生物與農業、計算最佳化、實務應用及社會影響等面向探討此一主題。

本編著書籍專為從事 Artificial Intelligence、Machine Learning、Deep Learning、Metaheuristics 與農業科學的研究人員、學術界人士及專業人員而設計。此外，本書也適合農業工程師、資料科學家、農業科技產業從業人員、政策制定者，以及對 AI 驅動的植物疾病偵測與智慧農業應用感興趣的大學部、研究所與博士班學生閱讀。

Prof. (Dr.) Nebojsa Bacanin obtained a PhD in 2015 from the Faculty of Mathematics, University of Belgrade, Serbia (in Computer Science, average grade 10,00). He started his university career in Serbia 18 years ago at the Graduate School of Computer Science in Belgrade. He is currently a Full Professor, Vice-Rector for Scientific Research and Head of Applied Artificial Intelligence study program at Singidunum University, Belgrade, Serbia. He is involved in scientific research in the field of computer science, and his specialty includes stochastic optimization algorithms, swarm intelligence, soft-computing, optimization, and modeling, as well as artificial intelligence algorithms, swarm intelligence, machine learning, image processing, and cloud and distributed computing. He has published more than 480 scientific papers (more than 220 SCIE papers) in high-quality journals and international conferences indexed in Clarivate Analytics JCR, Scopus, WoS, IEEExplore, and other scientific databases. As member of numerous Editorial boards in cutting-edge international journals and Committee boards of international conferences, he regularly edits and perform review activities. He has also been included in the prestigious Stanford University list of the 2% best world researchers, when the whole career is considered, in the field of Artificial Intelligence. Also, according to the AD scientific index, he is currently listed as the best researcher from the Computer Science area in Serbia. His Research fields cover metaheuristics optimization, swarm intelligence, data science, artificial intelligence, and machine learning.

Dr. Amit Chhabra is an Associate Professor at the Department of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. He has over 22 years of teaching and research experience. His main areas of research are: Feature Selection using Metaheuristics, Use of Artificial Intelligence in Medicine and Sentiment Analysis, Applications of Metaheuristics, and Cloud Task Scheduling. He has published a 50+ research papers in the high-quality SCI/SCIE/WoS/SCOPUS journals. He is an active reviewer of many prestigious journals which includes IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Internet of Things, IEEE Transactions on Services Computing, IEEE transactions on consumer electronics, IEEE Transactions on Sustainable Computing, IEEE transactions on System, Man, and Cybernetics, ACM Computing Surveys, ACM transactions on embedded computing systems, Information sciences, Artificial Intelligence Review, Alexandria Engineering Journal, Journal of Ambient Intelligence and Humanized Computing, Concurrency and Computation: Practice and Experience, Cluster Computing, The Journal of Supercomputing, etc.

Dr. Satveer Kour has a BTech in Information Technology from Technological Institute of Textile & Science, Bhiwani, Haryana, India (2006). She has a MTech in Computer Science and Engineering from Chaudhary Devi Lal University, Sirsa, Haryana, India in 2009. She completed her PHD from SLIET, Longowal (India) in 2022. She is currently an Assistant Professor in CET Department of Guru Nanak Dev University, Amritsar. Her research interests include Wireless Networks, Mobile Ad-Hoc Networks, Vehicular Ad-Hoc Networks, Flying Ad-Hoc Networks, Wireless Sensor Networks, Mobility Models, and Quantum Computing. She is also a life member of IAENG. She has over 10 years of work experience. She holds 4 Indian Patents.

Dr. Ghaith Manita is an Associate Professor at the Faculty of Science of Tunis, University of Tunis ElManar, specializing in artificial intelligence, metaheuristics, and optimization. He has a Doctorate in Computer Science with a focus on optimizing production workshops using meta-heuristic methods from the National School of Computer Science, Tunis. Dr. Manita has an extensive publication record, with over 30 peer-reviewed articles, particularly in areas integrating operations research, logistics, and AI innovations. He teaches various subjects, from web programming to machine learning, and has supervised numerous master's and doctoral theses. His research endeavours are dedicated to linking theoretical insights with practical applications in intelligent systems and advanced computing methodologies.

Prof. (Dr.) Nebojsa Bacanin 於 2015 年取得塞爾維亞 University of Belgrade Faculty of Mathematics 的博士學位（主修 Computer Science，平均成績 10.00）。18 年前，他在塞爾維亞 Belgrade 的 Graduate School of Computer Science 開始大學教學生涯。目前，他是塞爾維亞 Belgrade Singidunum University 的正教授、副校長（負責科學研究），以及 Applied Artificial Intelligence 學程主任。他從事 Computer Science 領域的科學研究，專長包括隨機最佳化演算法（stochastic optimization algorithms）、群體智慧（swarm intelligence）、軟計算（soft computing）、最佳化與建模，以及人工智慧演算法、群體智慧、機器學習、影像處理、雲端與分散式運算。他已在收錄於 Clarivate Analytics JCR、Scopus、WoS、IEEE Xplore 及其他科學資料庫的高品質期刊與國際會議中，發表超過 480 篇科學論文，其中超過 220 篇為 SCIE 論文。身為多本尖端國際期刊編輯委員會及國際會議委員會的成員，他定期負責編輯與審稿工作。此外，根據完整學術生涯的評比結果，他亦入選 Stanford University 所公布的全球前 2% 頂尖研究人員名單，研究領域為 Artificial Intelligence。根據 AD Scientific Index，他目前也是塞爾維亞 Computer Science 領域排名最佳的研究人員。他的研究領域涵蓋後設啟發式最佳化（metaheuristic optimization）、群體智慧、資料科學、人工智慧及機器學習。

Dr. Amit Chhabra 是印度 Amritsar Guru Nanak Dev University Department of Computer Engineering & Technology 的副教授。他擁有超過 22 年的教學與研究經驗。主要研究領域包括：運用後設啟發式方法進行特徵選擇（feature selection）、人工智慧在醫學與情感分析中的應用、後設啟發式方法的應用，以及雲端任務排程。他已在高品質的 SCI、SCIE、WoS 及 SCOPUS 期刊上發表 50 多篇研究論文。他也是許多知名期刊的活躍審稿人，包括 IEEE/ACM Transactions on Computational Biology and Bioinformatics、IEEE Internet of Things、IEEE Transactions on Services Computing、IEEE Transactions on Consumer Electronics、IEEE Transactions on Sustainable Computing、IEEE Transactions on Systems, Man, and Cybernetics、ACM Computing Surveys、ACM Transactions on Embedded Computing Systems、Information Sciences、Artificial Intelligence Review、Alexandria Engineering Journal、Journal of Ambient Intelligence and Humanized Computing、Concurrency and Computation: Practice and Experience、Cluster Computing、The Journal of Supercomputing 等。

Dr. Satveer Kour 於 2006 年取得印度 Haryana 邦 Bhiwani 的 Technological Institute of Textile & Science Information Technology 學士學位（BTech）。2009 年，她於印度 Haryana 邦 Sirsa 的 Chaudhary Devi Lal University 取得 Computer Science and Engineering 碩士學位（MTech）。她於 2022 年在印度 Longowal 的 SLIET 完成博士學位。她目前是 Guru Nanak Dev University CET Department 的助理教授。她的研究興趣包括無線網路（Wireless Networks）、行動隨意網路（Mobile Ad-Hoc Networks）、車載隨意網路（Vehicular Ad-Hoc Networks）、飛行隨意網路（Flying Ad-Hoc Networks）、無線感測器網路（Wireless Sensor Networks）、移動性模型（Mobility Models）及量子運算（Quantum Computing）。她也是 IAENG 的終身會員。她擁有超過 10 年的工作經驗，並持有 4 項印度專利。

Dr. Ghaith Manita 是 University of Tunis ElManar Faculty of Science of Tunis 的副教授，專長為人工智慧、後設啟發式方法及最佳化。他擁有 Computer Science 博士學位，研究重點是運用後設啟發式方法最佳化生產工作坊；該學位取得自 Tunis 的 National School of Computer Science。Dr. Manita 發表了大量研究成果，已發表超過 30 篇同儕審查論文，研究尤其聚焦於整合作業研究、物流與人工智慧創新的領域。他教授多種科目，從網頁程式設計到機器學習皆涵蓋在內，並指導過許多碩士論文與博士論文。他的研究致力於連結理論洞見與實際應用，發展智慧系統及先進運算方法。