Abstract

  In Japan, abandoned cultivated lands have increased due to labor shortages caused by aging, low productivity, lack of farmland recipients, and poor land conditions. The increase of abandoned agriculture land causes problems such as a decline in the multifunctionality of agriculture, the occurrence of pests, birds, and animals. For this reason, the Japanese government has enacted legislation considering the measures to reduce or prevent the abandoned agriculture land. As a result, the area of abandoned agriculture lands was 423,000 ha in 2015, and the rate of increase has slowed.

   On the other hand, there is RUE (Radiation Use Efficiency) as a numerical value, representing the relationship between the amount of crop production and the amount of solar radiation. RUE is obtained by dividing the dry matter production amount by the accumulated light reception amount during the same period, and it is known that the dry matter production amount increases as the accumulated light reception amount increases, although there is a difference depending on the crop.

   Our research team has constructed a solar radiation simulation system using GIS (Geographic Information System) and DSM (Digital Surface Model) considering the shadow of buildings and trees. As a result, it has become possible to support the selection of a place, where the amount of solar radiation falling on the solar power generation system can be efficiently obtained, and to understand how much solar radiation can be obtained when the solar power generation system is installed. In addition, it has been incorporated with the weather conditions into this simulation system. Finally, a solar radiation simulation considering the weather conditions is successfully built.

   Based on these circumstances, this research focuses on the amount of solar radiation falling on farmland, and constructs a farmland solar radiation DB in consideration of the shadow of buildings and trees and weather conditions for each farmland. The purpose of this research is to visualize farmlands that can receive a large amount of solar radiation and to establish a mechanism to support prioritization during the selecting abandoned agriculture lands and supporting the reuse of abandoned agriculture lands. In addition, the farmland solar radiation DB is designed to build an farmland DB that can manage items such as precipitation, temperature and soil in addition to solar radiation, assuming a mechanism to be able to propose crops grown using AI(Artificial Intelligence) in the future.

Keywords: GIS (Geographic Information System); DSM (Digital Surface Model); RUE (Radiation Use Efficiency); Farmland; Weather Condition; Database

References

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Citation

Citation: Atsushi Shiota., et al. “Construction of Farmland Solar Radiation DB Using GIS to Solve the Problem of Abandoned Cultivated Land and Select Cultivated Crops for AI" Acta Scientific Agriculture 4.5 (2020): 03-09.

Copyright

Copyright: © 2020 Atsushi Shiota., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.