Nextgen Strategies and Tools: Pioneering Innovations in Agriculture
暫譯: 下一代策略與工具：農業創新先驅

《下一代策略與工具：農業創新先驅》是一本系統性且以應用為導向的著作，探討推動農業創新的下一代策略與技術。本書專注於整合人工智慧（Artificial Intelligence, AI）、物聯網（Internet of Things, IoT）、深度學習、機器人技術及智慧感測技術，以應對可持續性、精準農業及農業生產力的挑戰。

本書提供有關基於AI的決策支持框架、物聯網驅動的精準農業、作物監測的智慧感測網絡，以及基於視覺的系統用於疾病和害蟲檢測的資訊。貢獻部分探討了應用於現實農業場景的深度學習和計算機視覺模型，強調在大規模及資源受限環境中的可擴展性、準確性及部署可行性。實際應用如農業機器人（Agrobots）、基於Raspberry Pi的農業平台及自動化施肥系統進一步展示了所提方法的適用性。

除了技術進步外，本書還探討了在農業中採用AI和IoT的可持續性及環境影響。討論了有效資源利用、氣候韌性及環境負責任的農業實踐等關鍵考量，以提供平衡且全面的觀點。通過將理論基礎與實際部署相結合，本書支持智能農業生態系統的發展。

作為下一代農業：新概念與創新策略系列的一部分，本書旨在為研究生、研究人員、學者及計算機科學、人工智慧、數據科學、電子與通信工程、農業工程及智慧農業技術的專業人士提供參考。它同時也為希望推進可持續及智能農業系統的政策制定者和實務工作者提供參考。

Dr. Dhakshayani J is currently working as an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Kottayam, Kerala. She completed her Ph.D. in Computer Science and Engineering from the National Institute of Technology Puducherry and obtained her Master's degree from Pondicherry University, Puducherry. Her research domain focuses on precision agriculture, with a strong emphasis on applying image processing and computer vision techniques to real-world agricultural challenges. Her work spans crop disease detection using visual analytics, automated plant trait analysis, and high-throughput phenotyping through multimodal data fusion. She is currently leading an ongoing ANRF-sponsored research project titled "AI-Driven Multimodal Vision System for Rubber Tapping Optimization Using RGB, Thermal, and 3D Imaging in Kerala Plantations," which focuses on integrating multiple visual modalities to enhance tapping efficiency, plant health assessment, and decision-making in rubber plantations. In addition to her research activities, Dr. Dhakshayani J serves as an active reviewer for several reputed international journals, including Scientific Reports, Wiley, Hindawi, and several Springer and IEEE international conferences.

Dr. Shashidhar R received his Bachelor of Engineering and Master of Technology degrees from Visvesvaraya Technological University (VTU), Belagavi, and his Ph.D. from JSS Science and Technology University (JSS STU), Mysuru. He is currently working as an Associate Professor in the Department of Electronics and Communication Engineering and serves as the Convener of the Institute Innovation Council at JSS Science and Technology University, Mysuru. He has published over 60 papers in Scopus- and SCI-indexed journals and has edited three Scopus-indexed books. He is an editorial board member of Scientific Reports (Nature Publishing Group) and Discover Imaging (Springer Nature).He has filed nine patents, of which seven have been granted and two are under final examination. He received the Best Paper Award for the paper titled "Music Emotion Recognition Using Convolutional Neural Network for Regional Languages" at AIKIIE-2023, Ballari. He was awarded Best Paper Presenter for the paper "Optimizing EMG Signal Analysis with Advanced Machine Learning Techniques" at ICSTEMSD-2025. He also received the Best Paper Award for "Speech Emotion Recognition Based on Speaker and Gender Dependences in Cross-Linguistic" at CCICT-2025. He received the Protsahan: Recognition of Research Publications Award from the IEEE Communications Society, Bangalore Section, during January 2020-September 2021 and October 2021-September 2022. He is an Executive Committee Member of the IEEE Bangalore Section and serves as the Secretary of the IEEE Mysuru Subsection. He has served in various roles in IEEE international conferences, including Technical Program Committee Chair at IEEE MysuruCon 2023 and ICETEG-2025, and Track Chair at IEEE MysuruCon 2022 and INDISCON 2023. He has over 1,000 Google Scholar citations, with an h-index of 17 and an i10-index of 27. His research interests include speech processing, biomedical signal and image processing, embedded systems, artificial intelligence, machine learning, deep learning, and quantum machine learning.

Dr. Vinayakumar Ravi (https: //vinayakumarr.github.io/) is an Assistant Research Professor at Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. His previous position was a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. His current research interests include applications of data mining, Artificial Intelligence, machine learning (including deep learning) for biomedical informatics, Cyber Security, image processing, and natural language processing. He has more than 100 research publications in reputed IEEE conferences, IEEE Transactions and Journals. His publications include prestigious conferences in the area of Cyber Security, like IEEE S&P and IEEE Infocom. Dr. Ravi has received a full scholarship to attend Machine Learning Summer School (MLSS) 2019, London. He has organized a shared task on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. He received the Chancellor's Research Excellence Award in AIRA 2021 and his name was included in the World's Top 2% Scientists by Stanford University published in PLoS Biology.

Dr Roopashree S, currently an Associate Professor in the Department of Computer Science and Engineering, is a highly motivated and accomplished professional with over 16 years of experience across academia and industry. With 9 years of specialized research expertise in the area of machine learning, computer vision, deep learning and Generative AI. She has achieved significant milestones in her academic journey. Dr Roopashree is a dedicated researcher in the fields of Artificial Intelligence, Computer Vision, Machine Learning, Generative AI, Large Language Models, Small Language Models and Image Processing. She has an impressive track record, including the publication of four Indian patents and the grant of a German utility patent and two Australian design patents. As a Senior Member of IEEE and a lifetime member of the Computer Society of India, Dr Roopashree has made significant contributions to both research and academia. She has published 35+ research articles indexed in Web of Science, SCIE, and Scopus Journals/conferences. She is an active reviewer for leading SCIE journals. Her achievements include working on a funded multi-agent framework project on Indian medicinal plants, serving as an R&D consultant to start-ups, receiving sponsorship from the Karnataka State Council for Science and Technology (KSCST) for three projects, and securing first place in the IEEE Humanitarian Projects Proposal competition in 2020.

Dr. Deepti Gupta is an Assistant Professor at Texas A&M University-Central Texas. After receiving her PhD, she joined Goldman Sachs as a Cloud Security Architect. She also worked as a faculty member in the Department of Computer Science at Huston-Tillotson University, Austin. She received her Ph.D. degree in Computer Science from the University of Texas at San Antonio (UTSA) and also received her M.S. degree in Computer Science from UTSA. She has worked as an Adjunct Faculty in the Department of Computer Science at St. Edward University, Austin. Dr. Gupta's research interests lie in the areas of security and privacy in the Internet of Things (IoT) leveraging cloud and edge computing. Her research interests also include the application of AI and Machine Learning to secure IoT and CPS infrastructures in various application domains, such as smart healthcare, wearable IoT and smart home. She is also interested in designing federated learning algorithms to deal with non-IID data using game theory. She also developed novel anomaly detection models and fine-grained access control models to develop secure infrastructure for IoT. She has several conference and journal publications, and also continually serves as an expert reviewer for various journals and technical program committees for several conferences and workshops. Dr. Gupta has received National Science Foundation (NSF) award. She is an active team member of IEEE ComSoc Young Professionals, AnitaB.org, WiCyS, and also co-chair of the N2Women fellowship.

Dr. Dhakshayani J目前擔任印度信息技術學院科塔揚的計算機科學與工程系助理教授。她在普杜切里國立技術學院獲得計算機科學與工程的博士學位，並在普杜切里大學獲得碩士學位。她的研究領域專注於精準農業，強調將影像處理和計算機視覺技術應用於現實世界的農業挑戰。她的工作涵蓋了利用視覺分析進行作物病害檢測、自動化植物性狀分析，以及通過多模態數據融合進行高通量表型分析。她目前正在領導一個由ANRF贊助的研究項目，名為「基於RGB、熱成像和3D成像的橡膠採集優化的AI驅動多模態視覺系統」，該項目專注於整合多種視覺模態，以提高橡膠種植園的採集效率、植物健康評估和決策制定。除了研究活動外，Dr. Dhakshayani J還擔任多個知名國際期刊的活躍審稿人，包括Scientific Reports、Wiley、Hindawi，以及多個Springer和IEEE國際會議。

Dr. Shashidhar R獲得了來自維斯維薩拉亞技術大學（VTU）貝拉加維的工程學士和技術碩士學位，並在JSS科學與技術大學（JSS STU）邁索爾獲得博士學位。他目前擔任電子與通信工程系的副教授，並擔任JSS科學與技術大學創新委員會的召集人。他在Scopus和SCI索引的期刊上發表了超過60篇論文，並編輯了三本Scopus索引的書籍。他是Scientific Reports（自然出版集團）和Discover Imaging（Springer Nature）的編輯委員會成員。他已申請九項專利，其中七項已獲批准，兩項正在最終審查中。他在AIKIIE-2023的論文「使用卷積神經網絡進行區域語言的音樂情感識別」中獲得最佳論文獎。他在ICSTEMSD-2025的論文「使用先進機器學習技術優化EMG信號分析」中獲得最佳論文報告獎。他在CCICT-2025的論文「基於說話者和性別依賴的跨語言語音情感識別」中獲得最佳論文獎。他在2020年1月至2021年9月及2021年10月至2022年9月期間獲得IEEE通訊學會班加羅爾分會的Protsahan：研究出版物獎。他是IEEE班加羅爾分會的執行委員會成員，並擔任IEEE邁索爾分會的秘書。他在IEEE國際會議中擔任過多個角色，包括IEEE邁索爾會議2023和ICETEG-2025的技術程序委員會主席，以及IEEE邁索爾會議2022和INDISCON 2023的分會主席。他在Google Scholar上擁有超過1,000次引用，h-index為17，i10-index為27。他的研究興趣包括語音處理、生物醫學信號和影像處理、嵌入式系統、人工智慧、機器學習、深度學習和量子機器學習。

Dr. Vinayakumar Ravi（https://vinayakumarr.github.io/）是沙烏地阿拉伯霍巴爾的穆罕默德·賓·法赫德王子大學人工智慧中心的助理研究教授。他之前的職位是與辛辛那提兒童醫院醫療中心合作，開發和實施新穎的計算和機器學習算法及應用，專注於大數據整合和數據挖掘。他目前的研究興趣包括數據挖掘、人工智慧、機器學習（包括深度學習）在生物醫學信息學、網絡安全、影像處理和自然語言處理中的應用。他在知名的IEEE會議、IEEE Transactions和期刊上發表了超過100篇研究論文。他的出版物包括網絡安全領域的知名會議，如IEEE S&P和IEEE Infocom。Dr. Ravi獲得了2019年倫敦機器學習夏季學校（MLSS）的全額獎學金。他作為SSCC'18和ICACCI'18的一部分，組織了一個檢測惡意域名的共享任務（DMD 2018）。他在AIRA 2021中獲得了校長研究卓越獎，並被斯坦福大學列入PLoS Biology發表的全球前2%科學家名單。

Dr. Roopashree S目前是計算機科學與工程系的副教授，是一位充滿動力且成就卓越的專業人士，擁有超過16年的學術和產業經驗。她在機器學習、計算機視覺、深度學習和生成式AI領域擁有9年的專業研究經驗。她在學術旅程中取得了顯著的里程碑。Dr. Roopashree是人工智慧、計算機視覺、機器學習、生成式AI、大型語言模型、小型語言模型和影像處理領域的專注研究者。她擁有令人印象深刻的成就，包括發表四項印度專利，並獲得德國實用專利和兩項澳大利亞設計專利。作為IEEE的高級會員和印度計算機學會的終身會員，Dr. Roopashree對研究和學術界做出了重要貢獻。她在Web of Science、SCIE和Scopus期刊/會議上發表了超過35篇研究文章。她是多個領先SCIE期刊的活躍審稿人。她的成就包括參與一個資助的多代理框架項目，研究印度藥用植物，擔任初創公司的研發顧問，獲得卡納塔克邦科學與技術委員會（KSCST）對三個項目的贊助，以及在2020年IEEE人道主義項目提案競賽中獲得第一名。

Dr. Deepti Gupta是德克薩斯A&M大學中央德克薩斯分校的助理教授。獲得博士學位後，她加入高盛擔任雲安全架構師。她還曾在奧斯汀的哈斯頓-蒂洛森大學計算機科學系擔任教職。她在德克薩斯大學聖安東尼奧分校（UTSA）獲得計算機科學博士學位，並在UTSA獲得計算機科學碩士學位。她曾在奧斯汀的聖愛德華大學計算機科學系擔任兼職教員。Dr. Gupta的研究興趣集中在物聯網（IoT）中的安全和隱私，利用雲計算和邊緣計算。她的研究興趣還包括將AI和機器學習應用於各種應用領域的IoT和CPS基礎設施的安全性，如智能醫療、可穿戴IoT和智能家居。她還對設計聯邦學習算法以使用博弈論處理非獨立同分佈（non-IID）數據感興趣。她還開發了新穎的異常檢測模型和細粒度訪問控制模型，以建立安全的IoT基礎設施。她擁有多篇會議和期刊出版物，並持續擔任多個期刊和多個會議及研討會的技術程序委員會的專家審稿人。Dr. Gupta獲得了國家科學基金會（NSF）獎項。她是IEEE ComSoc年輕專業人士、AnitaB.org、WiCyS的活躍成員，並擔任N2Women獎學金的共同主席。