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Simulation of Crop Yields Grown under Agro-Photovoltaic Panels: A Case Study in Chonnam Province, South Korea

Author

Listed:
  • Jonghan Ko

    (Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Korea)

  • Jaeil Cho

    (Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Korea)

  • Jinsil Choi

    (Jeollanamdo Agricultural Research Extension Services, Naju 58213, Korea)

  • Chang-Yong Yoon

    (Jeollanamdo Agricultural Research Extension Services, Naju 58213, Korea)

  • Kyu-Nam An

    (Jeollanamdo Agricultural Research Extension Services, Naju 58213, Korea)

  • Jong-Oh Ban

    (Department of Management Information, Hallym Polytechnic University, Chuncheon 24210, Korea)

  • Dong-Kwan Kim

    (Jeollanamdo Agricultural Research Extension Services, Naju 58213, Korea)

Abstract

Agro-photovoltaic systems are of interest to the agricultural industry because they can produce both electricity and crops in the same farm field. In this study, we aimed to simulate staple crop yields under agro-photovoltaic panels (AVP) based on the calibration of crop models in the decision support system for agricultural technology (DSSAT) 4.6 package. We reproduced yield data of paddy rice, barley, and soybean grown in AVP experimental fields in Bosung and Naju, Chonnam Province, South Korea, using CERES-Rice, CERES-Barley, and CROPGRO-Soybean models. A geospatial crop simulation modeling (GCSM) system, developed using the crop models, was then applied to simulate the regional variations in crop yield according to solar radiation reduction scenarios. Simulated crop yields agreed with the corresponding measured crop yields with root mean squared errors of 0.29-ton ha −1 for paddy rice, 0.46-ton ha −1 for barley, and 0.31-ton ha −1 for soybean, showing no significant differences according to paired sample t -tests. We also demonstrated that the GCSM system could effectively simulate spatiotemporal variations in crop yields due to the solar radiation reduction regimes. An additional advancement in the GCSM design could help prepare a sustainable adaption strategy and understand future food supply insecurity.

Suggested Citation

  • Jonghan Ko & Jaeil Cho & Jinsil Choi & Chang-Yong Yoon & Kyu-Nam An & Jong-Oh Ban & Dong-Kwan Kim, 2021. "Simulation of Crop Yields Grown under Agro-Photovoltaic Panels: A Case Study in Chonnam Province, South Korea," Energies, MDPI, vol. 14(24), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8463-:d:702917
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    1. Xuanwei Ning & Peipei Dong & Chengliang Wu & Yongliang Wang & Yang Zhang, 2022. "Influence Mechanisms of Dynamic Changes in Temperature, Precipitation, Sunshine Duration and Active Accumulated Temperature on Soybean Resources: A Case Study of Hulunbuir, China, from 1951 to 2019," Energies, MDPI, vol. 15(22), pages 1-19, November.

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    Keywords

    AVP; crop model; DSSAT; GCSM; simulation; yield;
    All these keywords.

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