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Titlebook: Internet of Things and Analytics for Agriculture, Volume 3; Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal Book 2022 The Editor(s) (if

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发表于 2025-3-21 16:04:06 | 显示全部楼层 |阅读模式
书目名称Internet of Things and Analytics for Agriculture, Volume 3
编辑Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal
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概述Discusses major challenges faced by farmers and solutions by IoT.Covers the most important challenges, issues, and advances in IoT agro-systems.Explores predictive analysis systems and weather data-en
丛书名称Studies in Big Data
图书封面Titlebook: Internet of Things and Analytics for Agriculture, Volume 3; Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal Book 2022 The Editor(s) (if
描述The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm‘s cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.
出版日期Book 2022
关键词Crop Monitoring; Climate-smart Methods; Internet of Things; Data Analytics; Geolocation Analysis; Sustain
版次1
doihttps://doi.org/10.1007/978-981-16-6210-2
isbn_softcover978-981-16-6212-6
isbn_ebook978-981-16-6210-2Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-21 22:24:09 | 显示全部楼层
Socioeconomic Impact of IoT on Agriculture: A Comparative Study on India and China,es comparative analysis, further utilising mixed-method research, which utilises both quantitative and qualitative approaches. Additionally, the chapter also deals with the huge impact of IoT on the development, growth and other socioeconomic parameters of farming communities within India and China.
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发表于 2025-3-22 16:47:25 | 显示全部楼层
Book 2022 quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditio
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发表于 2025-3-22 18:40:37 | 显示全部楼层
Functional Framework for IoT-Based Agricultural System,tinuation of the same, a visible technological advancement has taken place in agriculture. Internet of things (IoT) is one of the most revolutionary technologies which have been the game-changer in smart cities, transportation and its monitoring, new-age vehicles, healthcare, industry, security and
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发表于 2025-3-22 22:23:02 | 显示全部楼层
A Review on Advances in IoT-Based Technologies for Smart Agricultural System,tity, but the significant growth in crop production is comparatively less. Conventional agricultural process faces many difficulties such as dependence on the human power, weather dependency, lack of knowledge and lack of technology. The solution to this problem is the technology-based agricultural
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发表于 2025-3-23 03:00:40 | 显示全部楼层
,Artificial Intelligence in Agri-Food Systems—An Introduction,ore complex systems. In agri-food industrial systems, an artificial intelligent system would drive a system towards the set objectives based on the information and knowledge gathered from the consumers, farmers, machines, and domain experts. Machine learning (ML) is the preferred tool to process the
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发表于 2025-3-23 06:45:15 | 显示全部楼层
Intelligent Agro-Food Chain Supply,. However, a strong supply chain management system is not only needed for the fast delivery of the products but also very important to increase the financial activities and profit of all, like the producer, supplier and end-user. Most of the countries, especially developing countries, are facing the
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