| 书目名称 | IoT and AI in Agriculture | | 副标题 | Smart Automation Sys | | 编辑 | Tofael Ahamed | | 视频video | http://file.papertrans.cn/476/475104/475104.mp4 | | 概述 | Covers technologies & techniques such as IoT, AI, and ML in smart agriculture development from field to orchard crops.Elaborates on different type of hardware, platforms, and machine learning techniqu | | 图书封面 |  | | 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 | | 出版日期 | Book 2024 | | 关键词 | Smart agriculture; Deep learning; Smart horticultural crop management; Digital agriculture; Data driven | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-1263-2 | | isbn_softcover | 978-981-97-1265-6 | | isbn_ebook | 978-981-97-1263-2 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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