K
Kenji Sugimoto
Researcher at Nagoya University
Publications - 14
Citations - 357
Kenji Sugimoto is an academic researcher from Nagoya University. The author has contributed to research in topics: Stock (geology) & Population. The author has an hindex of 5, co-authored 14 publications receiving 272 citations. Previous affiliations of Kenji Sugimoto include University of Tokyo.
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The Weight of Society Over Time and Space: A Comprehensive Account of the Construction Material Stock of Japan, 1945–2010
TL;DR: In this article, the authors present a project to map, in a high level of detail, the in-use construction material stocks of Japan and its 47 prefectures from the 1940s until the present era.
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Maize yield forecasting by linear regression and artificial neural networks in Jilin, China
TL;DR: In this article, the maize yield of China's Jilin province from 1962 to 2004, with climate conditions and fertilizer as predictors, was investigated using multiple linear regression (MLR) and non-linear artificial neural network (ANN) models.
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Global-scale modelling of future changes in sown areas of major crops
TL;DR: In this article, the authors presented an integrated modelling approach to simulate dynamically the changes in sown areas for the world's major crops at a global scale, based on three core models: a crop choice decision model, the Multinomial Logit model, was used to track and simulate the crop choice decisions made by individual farmers.
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Mapping the global supply and demand structure of rice
Kan Ichiro Matsumura,Robert J. Hijmans,Yann Chemin,Christopher D. Elvidge,Kenji Sugimoto,Wenbin Wu,Yang Won Lee,Ryosuke Shibasaki +7 more
TL;DR: In this article, the authors examined global rice production patterns on a geographical basis by using various criteria linked to domestic income, population patterns, and associated satellite brightness data of rice-producing regions.
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Modeling changes in paddy rice sown areas in Asia
TL;DR: In this article, a crop choice decision model that dynamically simulates future changes in sown areas of paddy rice in Asia was developed under the framework of Action-in-Context with the aim of understanding land users' decisions on crop choices among a set of available alternatives using a crop utility function.