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

CHORD

書目名稱Internet of Things and Analytics for Agriculture, Volume 3影響因子(影響力)




書目名稱Internet of Things and Analytics for Agriculture, Volume 3影響因子(影響力)學(xué)科排名




書目名稱Internet of Things and Analytics for Agriculture, Volume 3網(wǎng)絡(luò)公開度




書目名稱Internet of Things and Analytics for Agriculture, Volume 3網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Internet of Things and Analytics for Agriculture, Volume 3被引頻次




書目名稱Internet of Things and Analytics for Agriculture, Volume 3被引頻次學(xué)科排名




書目名稱Internet of Things and Analytics for Agriculture, Volume 3年度引用




書目名稱Internet of Things and Analytics for Agriculture, Volume 3年度引用學(xué)科排名




書目名稱Internet of Things and Analytics for Agriculture, Volume 3讀者反饋




書目名稱Internet of Things and Analytics for Agriculture, Volume 3讀者反饋學(xué)科排名

Albinism

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.

considerable

彎彎曲曲

奴才

interrogate

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

騷動(dòng)

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

引起痛苦

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

圓錐體

,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

Interim

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