Iot and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve Sdgs and Society 5.0
Ahamed, Tofael
相關主題
商品描述
This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture, such as automation navigation, insect infestation, and decreasing agricultural inputs such as water and fertilizer, to maintain food security while ensuring environmental sustainability. Readers will gain a solid foundation for developing new knowledge through the in-depth research and education orientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current time. Furthermore, the book introduces the smart system for automation challenges that are important for an unmanned system for considering safety and security points. The book is designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science. The greatest care has been made to deliver a diverse range of resource areas, as well as enormous insights into the significance and scope of IoT, AI, and ML in the development of intelligent digital farming and smart agriculture, providing comprehensive information to the intended readers.
商品描述(中文翻譯)
本書涵蓋智慧農業領域及其進一步發展，重點在於利用基於人工智慧（AI）技術來應對勞動力短缺的問題。為了提高時效性並補充勞動力短缺，必須採用跨界的方法，以及人工智慧和大數據在生物資訊學中的應用，以確保無形勞動力移動系統的安全，實現可持續發展目標（SDG）之一，以確保糧食安全（社會5.0，SDG 1和2）。考慮到這一點，本書專注於通過智慧物聯網（IoT）和基於AI的農業解決方案，例如自動導航、害蟲侵擾，以及減少水和肥料等農業投入，以維持糧食安全，同時確保環境的可持續性。讀者將通過本書的深入研究和教育導向，獲得發展新知識的堅實基礎，了解如何在當前時期部署戶外和室內感測器、AI/機器學習（ML）和IoT設置，以感測、追蹤、收集、處理和儲存雲端平台上的資訊，促進智慧農業的發展。此外，本書還介紹了自動化挑戰的智慧系統，這對於考慮安全和保安要素的無人系統至關重要。本書旨在為從事機器學習、深度學習、農業工程、智慧農業和環境科學等領域的研究人員、研究生和本科生提供資源。特別注意提供多樣化的資源領域，以及對IoT、AI和ML在智能數位農業和智慧農業發展中的重要性和範疇的深刻見解，為目標讀者提供全面的信息。
作者簡介
Tofael Ahamed is an Associate Professor from University of Tsukuba, Japan, performs research and supervises graduate students in the field of precision agriculture technology, agricultural robotics decision support systems and agricultural remote sensing. Tofael focuses on enabling smart application using Internet of Things and Artificial Intelligence in agriculture, where crop production varies spatially and temporally within the field boundaries depending on the soil, nutrient, and environmental conditions. He is also serving as one of the Associate Editors for the reputed journals of Computer and Electronics in Agriculture, Agricultural Information Research, Editorial Member for Asia-Pacific Journal of Regional Science. He is a Lead Author and Editor of number books, Guest Editor of Special Issues for Remote Sensing and Regional Application of Remote Sensing. Tofael has published in journals such as Computers and Electronics in Agriculture, BiosystemsEngineering, Transactions of ASABE, Sensors, Remote Sensing, and Journal of Japanese Society of Agricultural Machinery and Food Engineering. Tofael is recognized as one of the best faculty members for 2016 and 2022 at the University of Tsukuba, Japan for his outstanding contributions to research, education, university management and social contributions.
作者簡介(中文翻譯)
Tofael Ahamed 是日本筑波大學的副教授，專注於精準農業技術、農業機器人決策支持系統和農業遙感領域的研究，並指導研究生。Tofael 專注於利用物聯網和人工智慧在農業中實現智能應用，因為作物生產在田地邊界內會根據土壤、營養和環境條件而在空間和時間上有所變化。他同時擔任《Computer and Electronics in Agriculture》、《Agricultural Information Research》的副編輯，以及《Asia-Pacific Journal of Regional Science》的編輯成員。他是多本書籍的主編和編輯，並擔任《Remote Sensing》和《Regional Application of Remote Sensing》特刊的客座編輯。Tofael 在《Computers and Electronics in Agriculture》、《Biosystems Engineering》、《Transactions of ASABE》、《Sensors》、《Remote Sensing》和《Japanese Society of Agricultural Machinery and Food Engineering》期刊上發表過論文。因其在研究、教育、大學管理和社會貢獻方面的卓越表現，Tofael 在2016年和2022年被認定為筑波大學的最佳教職員之一。
