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

Jonghan Ko, Jaeil Cho, Jinsil Choi, Chang-Yong Yoon, Kyu-Nam An, Jong-Oh Ban and Dong-Kwan Kim
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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

Energies, 2021, vol. 14, issue 24, 1-16

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.

Keywords: AVP; crop model; DSSAT; GCSM; simulation; yield (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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