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Titlebook: Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan; Dongpo Li,Teruaki Nanseki Book 2021 The Editor(s) (if applicable)

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书目名称Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan
编辑Dongpo Li,Teruaki Nanseki
视频video
概述Provides the latest and comprehensive applications of smart agriculture technologies in large-scale rice farming in Japan.Presents production model by research consortium which consists of universitie
图书封面Titlebook: Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan;  Dongpo Li,Teruaki Nanseki Book 2021 The Editor(s) (if applicable)
描述.This book consists of the major findings of the series projects on smart rice farming in Japan, headed by President of the Society of Agricultural Informatics. It is the gateway to know the paddy agriculture, by incorporating the findings of series national projects. The scenario includes soil analysis, growth investigation, environmental observation of air temperature, water temperature, water depth, cultivation and management records, yield, and quality analysis. In addition to the analysis of this large database, it showcases the new generation large-scale rice farming technology system, integrated with agri-machineries, field sensors, visualized farming, and skill-transferring system. This book presents an analytical framework of big data in agriculture and shows the empirical results for rice farm innovation. The authors want to have the pleasure to contribute the agricultural innovations of adopting smart technologies and empirical studies, in countries no matter far ornear to Japan. The authors also hope this book conveys the innovative and elaborate sprites of smart agriculture to the next generation and is of interest to students with curiosity on agriculture, smart techn
出版日期Book 2021
关键词Cation Exchange Capacity (CEC); Data Envelopment Analysis (DEA); Farming-Systems Analysis and Planning
版次1
doihttps://doi.org/10.1007/978-981-33-6256-7
isbn_softcover978-981-33-6258-1
isbn_ebook978-981-33-6256-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Variation in Rice Yields and Determinants Among Paddy Fields, linear regression, with logarithmic transformations of the continuous variables. The result indicated that panicle numbers in the full-heading stage and transplanting or sowing time were the most important continuous determinant, following by nitrogen amount, humus content, and so forth. Within the
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