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Titlebook: Transforming Agricultural Management for a Sustainable Future; Climate Change and M Shruti Kanga,Suraj Kumar Singh,Bhartendu Sajan Book 202

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書(shū)目名稱(chēng)Transforming Agricultural Management for a Sustainable Future
副標(biāo)題Climate Change and M
編輯Shruti Kanga,Suraj Kumar Singh,Bhartendu Sajan
視頻videohttp://file.papertrans.cn/929/928434/928434.mp4
概述Holistic treatise on the disasters in Himalaya and its management using spatially explicit models.Internationally acclaimed authorship with expertise in the application of remote sensing and GIS for d
叢書(shū)名稱(chēng)World Sustainability Series
圖書(shū)封面Titlebook: Transforming Agricultural Management for a Sustainable Future; Climate Change and M Shruti Kanga,Suraj Kumar Singh,Bhartendu Sajan Book 202
描述."Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices...One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment...Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme
出版日期Book 2024
關(guān)鍵詞Agroforestry; Livelihoods; Food security; Agricultural policy; GIScience; Data analytics; Precision farmin
版次1
doihttps://doi.org/10.1007/978-3-031-63430-7
isbn_softcover978-3-031-63432-1
isbn_ebook978-3-031-63430-7Series ISSN 2199-7373 Series E-ISSN 2199-7381
issn_series 2199-7373
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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