TY - JOUR
T1 - Exploring the characteristics of smart agricultural development in Japan
T2 - Analysis using a smart agricultural kaizen level technology map
AU - Washizu, Ayu
AU - Nakano, Satoshi
N1 - Funding Information:
This study was funded by a JSPS KAKENHI Grant-in-Aid for Scientific Research (JP21H03676, JP19KT0037, JP20K22139) and a Waseda University Grant for Special Research Projects (2022C-190, 2021C-263 ), the Environment Research and Technology Development Fund (JPMEERF20202008) of MOE, and the Environmental Restoration and Conservation Agency. We would also like to thank Mr. Shu-ichi Yokota, the representative of Yokota Nojo Co. Ltd. for participating in the interview, and the Japan Agricultural Corporation Association for their cooperation in conducting the questionnaire.
Funding Information:
This study was funded by a JSPS KAKENHI Grant-in-Aid for Scientific Research (JP21H03676, JP19KT0037, JP20K22139) and a Waseda University Grant for Special Research Projects (2022C-190, 2021C-263 ), the Environment Research and Technology Development Fund (JPMEERF20202008) of MOE, and the Environmental Restoration and Conservation Agency.
Funding Information:
This study was funded by a JSPS KAKENHI Grant-in-Aid for Scientific Research (JP21H03676, JP19KT0037, JP20K22139) and a Waseda University Grant for Special Research Projects (2021C-263, 2022C-190), the Environment Research and Technology Development Fund (JPMEERF20202008) of MOE, and the Environmental Restoration and Conservation Agency.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/7
Y1 - 2022/7
N2 - This study aims to clarify the Japanese characteristics of the spread of smart agriculture utilizing digital technology, which is expected to spread worldwide, and to provide policy implications for further dissemination of the technology. We conducted a questionnaire survey on actual conditions related to smart agriculture on Japanese farms. We have also proposed creation of a Smart Agricultural Kaizen Level (SAKL) technology map by applying the evaluation method used in management technology theory for the manufacturing industry. Using the results of the questionnaire survey and the proposed SAKL technology map, we analyzed the current pattern of expansion of smart agricultural technologies in Japan. Our results suggest that production efficiency in Japanese agriculture could be improved by raising the data visualization level and introducing smart agricultural technology. We also found that Japanese agriculture efficiency can be improved by introducing smart agricultural technology even if the data visualization level remains low. Smart agricultural technology automatically visualizes information and optimizes conditions without relying on the farmer's information literacy. At Japanese agriculture sites, the current smart agricultural technology introduction rate is less than 50%. To effectively disseminate smart agricultural technologies in the future, a policy should be implemented that promotes the development of a standardized package of smart agricultural technologies that can improve efficiency to some extent through default operation. With such a package, smart agriculture could be expanded without resorting to improving farmers' information literacy. Agricultural sites in Japan are thought to be currently engaged in developing such a standardized package of smart agricultural technologies.
AB - This study aims to clarify the Japanese characteristics of the spread of smart agriculture utilizing digital technology, which is expected to spread worldwide, and to provide policy implications for further dissemination of the technology. We conducted a questionnaire survey on actual conditions related to smart agriculture on Japanese farms. We have also proposed creation of a Smart Agricultural Kaizen Level (SAKL) technology map by applying the evaluation method used in management technology theory for the manufacturing industry. Using the results of the questionnaire survey and the proposed SAKL technology map, we analyzed the current pattern of expansion of smart agricultural technologies in Japan. Our results suggest that production efficiency in Japanese agriculture could be improved by raising the data visualization level and introducing smart agricultural technology. We also found that Japanese agriculture efficiency can be improved by introducing smart agricultural technology even if the data visualization level remains low. Smart agricultural technology automatically visualizes information and optimizes conditions without relying on the farmer's information literacy. At Japanese agriculture sites, the current smart agricultural technology introduction rate is less than 50%. To effectively disseminate smart agricultural technologies in the future, a policy should be implemented that promotes the development of a standardized package of smart agricultural technologies that can improve efficiency to some extent through default operation. With such a package, smart agriculture could be expanded without resorting to improving farmers' information literacy. Agricultural sites in Japan are thought to be currently engaged in developing such a standardized package of smart agricultural technologies.
KW - Key performance index (KPI)
KW - Smart agricultural kaizen level (SAKL)
KW - Technology diagnosis
KW - Technology map
KW - Visualization level
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U2 - 10.1016/j.compag.2022.107001
DO - 10.1016/j.compag.2022.107001
M3 - Article
AN - SCOPUS:85129924265
SN - 0168-1699
VL - 198
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
M1 - 107001
ER -