| 书目名称 | Digital Agriculture | | 副标题 | A Solution for Susta | | 编辑 | P. M. Priyadarshan,Shri Mohan Jain,Jameel M. Al-Kh | | 视频video | | | 概述 | Unique focuses on artificial intelligence and machine learning models to track and predict environmental impacts.Offers innovative solutions to achieve UN Sustainable Development Goals (SDG 2, 6, 13 a | | 图书封面 |  | | 描述 | The world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs significant restoration before it can sustain crops again. By 2030, the water supply will fall 40% short of meeting global demand. Moreover, looming climate change poses additional challenge to increasing food production to feed 10 billion people by 2050. Current major agricultural systems are on a largely unsustainable trajectory because of their contributions to greenhouse gas emissions, water pollution, and biodiversity loss..For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production. They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sus | | 出版日期 | Book 2024 | | 关键词 | controlled environment agriculture; satellite imaging; unmanned aerial vehicle; robotics; precision agri | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-43548-5 | | isbn_softcover | 978-3-031-43550-8 | | isbn_ebook | 978-3-031-43548-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:41:15
