Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 4 Issue 5

Construction of Farmland Solar Radiation DB Using GIS to Solve the Problem of Abandoned Cultivated Land and Select Cultivated Crops for AI

Atsushi Shiota*, Thongchart Kerdphol and Yasunori Mitani

Department of Electrical and Electronics Engineering, Kyushu Institute of Technology, Japan

*Corresponding Author: Atsushi Shiota, Department of Electrical and Electronics Engineering, Kyushu Institute of Technology, Japan.

Received: March 05, 2020; Published: April 09, 2020

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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

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References

  1. “Current status and issues of abandoned cultivated land”. Ministry of Agriculture, Forestry and Fisheries (2007).
  2. “Changes in farmland and abandoned land area”. Cabinet Office (2016).
  3. Tatsuhiko Shiraiwa., et al. “Estimation of solar radiation efficiency of crop”. Japanese Journal of Crop Science 3 (2011): 360-364.
  4. Atsushi Shiota., et al. “Development and Public Release of Solar Radiation Map for Effective Use of Solar Energy Based on GIS with Digital Surface Model”. CPESE (2015).
  5. Atsushi Shiota., et al. “GIS Utilization to Support the Application of Supplying Electric Power to Temporary Housing with PV and Energy Storage”. In Proceedings International Conference on Electrical Engineering (ICEE) (2016).
  6. Atsushi Shiota., et al. “Construction of Solar Radiation Simulation Database and Solar Radiation Simulation System using GIS and Application to the Agriculture Field”. Acta Scientific Agriculture10 (2019): 2-9.
  7. A Shiota., et al. “Sharing Regional Information with Spatial Information between Public and Proactive Citizens Based on Technology of Hybrid Cloud - Contribution for Disaster Reduction by G-motty of city of Kitakyushu”. Geospatial Information & Technology Association (GITA) (2015).
  8. Atsushi Shiota. “Research on Application of Geographic Information System (GIS) to Electric Power and Energy Field and Contribution to the Society with Disaster Prevention and Mitigation”. Doctor’s thesis at Kyushu Institute of Technology, Japan (2017).
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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.



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