Digital Ecosystem for Innovation in Agriculture

本書介紹了農業創新數位生態系統的最新研究成果。本書分為兩個部分，共十三章，涵蓋了專業領域。它向讀者提供了農業數位化所涉及的框架和技術的概述，以及數據處理方法、決策過程和促進農業數位轉型的創新服務/應用。這些章節由專家撰寫，通過案例研究、適當的插圖和表格以清晰的語言分享他們的經驗。內容設計旨在滿足全球各大學、農業大學、科技大學、研究機構和學院的地理空間、數據科學、農業和環境科學的需求。它有助於規劃者、政策制定者和推廣科學家規劃和可持續管理農業和自然資源。

Sanjay Chaudhary, Ph.D., is Dean of Students at Ahmedabad University as well as Professor and Associate Dean of School of Engineering and Applied Science of Ahmedabad University. During 2001 to 2013, he was Professor as well as Dean (Academic Programs) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. His research areas are cloud computing, blockchain technology, big data analytics, and ICT applications in agriculture and rural development. He has authored nine books and nine book chapters. He has published more than 150 research papers in international conferences, workshops, and journals. He has received research grants from leading organizations including IBM, Microsoft, and Department of Science and Technology, Govt. of India. Seven Ph.D. candidates have completed their Ph.D. successfully under his supervision. He holds a doctorate degree in computer science from Gujarat Vidyapith. His literary articles are publishedregularly in leading Gujarati magazines. Chandrashekhar M. Biradar, Ph.D., is Country Director, CIFOR-ICRAF-India with Asia Continental Program; and Chief of Party (CoP, TOFI Program-Trees outside Forests in India). Dr. Biradar is Landscape Ecologist with broad experience in executing agroecosystem research and outreach across the diverse landscapes in Asia, Africa, and the Americas. Dr. Biradar has a multidisciplinary educational background, with B.Sc. in Forestry; M.Sc. Forestry (Tree Improvement and Genetic Resources, specialization in Agroforestry), and a Ph.D. in Environmental Sciences and Earth Observation Systems (with a focus on forest ecology, biodiversity, and geoinformatics). His core expertise focuses on digital augmentation, geoinformatics, and regenerative agroecosystems. Before joining CIFOR-ICRFA, he worked with ICARDA, the University of New Hampshire, the University of Oklahoma, IWMI, and the IIRS-ISRO. Dr. Biradar has over 25 years ofexperience serving as Researcher, Principal Scientist, Manager, Head of Units, and Research Team Leader and has published over 400+ research articles, tools, and products and received several national and international awards. His current research for development focused on harnessing advances in technologies, agroforestry and forestry, agroecology, indigenous knowledge, and citizen science to restore functional agroecosystems for ecologically sustainable and economically viable landscapes and livelihoods. Srikrishnan Divakaran completed his Ph.D. in Computer Science in 2002 from Rutgers University, New Brunswick, USA. Then, from 2002 to 2008, he worked as Assistant Professor in the computer science department at Hofstra University, Long Island, NY, as Associate Professor at DAIICT from 2009 to 2016 before joining School of Engineering and Applied Sciences at Ahmedabad University in 2017. Dr. Divakaran has nearly 20 years of research and over 15 years of teaching experience and over five years of industry experience at leading multinational companies in computing and finance. Dr. Divakaran has taught a wide range of courses in computer science as well as related disciplines like bioinformatics and operations research and has a strong research background in designing algorithms for problems with applications in bioinformatics/computational biology, distributed systems, and operations research. In terms of research, over the past 7 years, his interests have broadly been in the area of design and analysis of online and approximation algorithms for problems in bioinformatics/computational biology, distributed systems, and operations research. In bioinformatics, his current research focus is on the design and analysis of approximation algorithms and heuristics for the following problems: (1) constrained generalized tree alignment, (2) template-based methods for sequence alignment, and (3) fast heuristics for exact string matching. In distributed systems, his research focus is in the design and analysis of online and offline approximation algorithms for problems in resource allocation, load balancing, and list update. In operations research, his research interests have been in the design and analysis of online and approximation algorithms for bin packing and scheduling with setups.
Mehul S Raval is an Associate Dean - Experiential Learning and Professor at the Ahmedabad University. His research interest is in computer vision and engineering education. He obtained a Bachelor's degree (ECE) in 1996, a Master's degree (EC) in 2002, and a Ph.D. (ECE) in 2008 from the College of Engineering Pune / University of Pune, India. He has 25+ years of experience as an academic with visits to Okayama University, Japan, under a Sakura Science fellowship, Argosy visiting associate professor at Olin College of Engineering, the US, during Fall 2016, and visiting Professor at Sacred Heart University, CT, in 2019. He publishes in journals, magazines, conferences, and workshops and reviews papers for leading publishers - IEEE, ACM, Springer, Elsevier, IET, and SPIE. He has received research funds from the Board of Research in Nuclear Science (BRNS) and the Department of Science and Technology, Government of India. He supervises doctoral, M.Tech, and B.Tech students. In addition, he chairs programs and volunteers on technical program committees for conferences, workshops, and symposiums. He also serves on the Board of Studies (BoS) to develop Engineering curricula for various Universities in India. He is a senior member of IEEE, a Fellow of IETE, and a Fellow of The Institution of Engineers (India). Dr. Raval served the IEEE Gujarat section during 2008 - 2015 and from 2018 - 2020 as a Joint Secretary. In addition, he did the IEEE signal processing society (SPS) chapter - IEEE Gujarat Section as vice chair and executive committee member in 2014. Currently, he is helping theIEEE Computational Intelligence Society Chapter - IEEE Gujarat Section as Chair.

Sanjay Chaudhary博士是Ahmedabad大學的學生事務主任，也是Ahmedabad大學工程與應用科學學院的教授和副院長。在2001年至2013年期間，他曾是印度甘地納加爾的Dhirubhai Ambani信息和通信技術學院（DA-IICT）的教授和院長（學術項目）。他的研究領域包括雲計算、區塊鏈技術、大數據分析以及農業和農村發展中的信息和通信技術應用。他撰寫了九本書和九個書章。他在國際會議、研討會和期刊上發表了150多篇研究論文。他曾獲得IBM、微軟和印度科學技術部等領先組織的研究資助。在他的指導下，有七名博士候選人成功完成了博士學位。他擁有古吉拉特邦維德亞皮斯大學的計算機科學博士學位。他的文學文章定期在領先的古吉拉特邦雜誌上發表。

Chandrashekhar M. Biradar博士是CIFOR-ICRAF-India亞洲大陸計劃的印度國家主任，也是TOFI計劃（印度森林外樹木）的項目負責人。Biradar博士是一位景觀生態學家，在亞洲、非洲和美洲的多樣化景觀中執行農業生態系統研究和推廣方面具有豐富的經驗。Biradar博士具有多學科的教育背景，擁有林業學士學位、林業碩士學位（樹木改良和遺傳資源，專攻農林業）以及環境科學和地球觀測系統的博士學位（專注於森林生態學、生物多樣性和地理信息學）。他的核心專業知識集中在數字增強、地理信息學和再生農業生態系統。在加入CIFOR-ICRFA之前，他曾在ICARDA、新罕布什爾大學、俄克拉荷馬大學、IWMI和IIRS-ISRO工作。Biradar博士擔任研究員、首席科學家、經理、單位負責人和研究團隊負責人超過25年，發表了400多篇研究文章、工具和產品，並獲得了多個國家和國際獎項。他目前的研究重點是利用先進技術、農林業、農業生態學、土著知識和公民科學來恢復功能性的農業生態系統，實現生態可持續和經濟可行的景觀和生計。

Srikrishnan Divakaran於2002年在美國羅格斯大學獲得計算機科學博士學位，之後從2002年到2008年在紐約長島的Hofstra大學計算機科學系擔任助理教授，從2009年到2016年在DAIICT擔任副教授，然後在2017年加入Ahmedabad大學工程與應用科學學院。Divakaran博士擁有近20年的研究經驗和超過15年的教學經驗，以及在計算和金融領域領先的跨國公司擔任超過五年的行業經驗。Divakaran博士教授了各種計算機科學課程，以及生物信息學和運營研究等相關學科，並在設計算法解決生物信息學/計算生物學、分布式系統和運營研究應用問題方面具有豐富的研究背景。在過去的7年中，他的研究興趣主要集中在設計和分析生物信息學/計算生物學、分布式系統和運營研究中的在線和近似算法。在生物信息學方面，他目前的研究重點是設計和分析近似算法和啟發式方法，解決以下問題：（1）受限的廣義樹對齊，（2）基於模板的序列對齊方法，以及（3）快速的精確字符串匹配啟發式方法。在分布式系統方面，他的研究重點是設計和分析在線和近似算法。