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Empirical analyses on rice yield det...

Li, Dongpo.

Empirical analyses on rice yield determinants of smart farming in Japan

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Empirical analyses on rice yield determinants of smart farming in Japanedited by Dongpo Li, Teruaki Nanseki.
其他作者:	Li, Dongpo.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xiii, 170 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	RiceYieldsJapan.
電子資源:	https://doi.org/10.1007/978-981-33-6256-7
ISBN:	9789813362567$q(electronic bk.)

Empirical analyses on rice yield determinants of smart farming in Japan
Empirical analyses on rice yield determinants of smart farming in Japan[electronic resource] /edited by Dongpo Li, Teruaki Nanseki. - Singapore :Springer Singapore :2021. - xiii, 170 p. :ill., digital ;24 cm.

1. Smart Rice Farming, Managerial Model, and Empirical Analysis -- 2. Variation in Yields and Determinants among Paddy Fields -- 3. Impact of Paddy Variety and Cultivation Method through ANOVA -- 4. Identifying the Yield Determinants among Comprehensive Factors -- 5. Path Analysis on the Interacting Determinants and Paddy Yield.

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 or near 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 technology, and empirical study.

ISBN: 9789813362567$q(electronic bk.)

Standard No.: 10.1007/978-981-33-6256-7doiSubjects--Topical Terms:

894830
Rice
--Yields--Japan.

LC Class. No.: SB191.R5 / E56 2021

Dewey Class. No.: 633.18

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505 0 $a 1. Smart Rice Farming, Managerial Model, and Empirical Analysis -- 2. Variation in Yields and Determinants among Paddy Fields -- 3. Impact of Paddy Variety and Cultivation Method through ANOVA -- 4. Identifying the Yield Determinants among Comprehensive Factors -- 5. Path Analysis on the Interacting Determinants and Paddy Yield.
520 $a 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 or near 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 technology, and empirical study.
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