Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., soil moisture sensors) and micro-climate monitoring sensors (e.g., thermometers and irradiance sensors) is installed in the APV system. This study aims at introducing a decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and performance estimation. Particularly, the real-time monitoring data is used as an input of the DSS system for performance estimation of an APV system in terms of production yields of crops and monetary benefit so that a data-driven function is implemented in the proposed system. The proposed DSS is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the smart farming technology in the field of agriculture.

Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., thermometers, irradiance sensors, and soil moisture sensors) is installed in the APV system. This study aims at introducing a simulation-based decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and simulation-based performance estimation. Particularly, an agent-based simulation (ABS) is used to mimic functions of an APV system so that a data-driven function and digital twin environment are implemented in the proposed system. The ABS model is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the digital twin technology in the field of agriculture.

영농형 태양광 발전은 농경지에서 작물을 생산함과 동시에 식물이 요구하는 광포화점 이상의 광을 이용하여 전기를 생산 하는 시스템이다. 새로운 농가 소득원의 개발을 위하여 포도 원에 태양광 패널을 설치하고 수체의 생육과 과실 발육 특성 을 평가하여 영농형 태양광의 활용성을 탐색하고 향후 재배기 술을 개발하는 데 필요한 정보를 제공하고자 연구를 진행하였 다. 152 × 68 × 3.5cm 크기의 구조물에 영농형 150Wp (36cell) 모듈을 포도나무 재식열에 따라 배치하고, 과원의 환경과 식물 생육을 분석하였다. 무처리에는 겨울철 풍속이 0.4－0.6m·s-1 에 도달하였으나, 시설 설치구에서는 0.01－0.02m·s-1에 머 물렀다. 삽수 수피의 탄수화물함량은 시설 설치구에서 183－ 184m·g-1으로 무처리구(181－198mg·g-1)에 비해 큰 차이가 없으며 삽수의 발아율도 큰 차이가 없었다. 잎의 엽록소의 함 량은 처리구에서 높게 나타났다. 수확후 과실의 특성으로는 과립중, 과방중, 당도, 과피색의 차이는 없었다. 다만 시설구 에서 숙기가 5－7일정도 늦어졌으며, 변색기의 착색에는 약 간 차이가 있었다. 영농형 태양광 패널을 설치한 과원에서 포 도나무와 과실의 발육은 유의차가 없었고, 설치구에서 착색 이 지연되었다. 이러한 결과는 향후 포도원에서 영농형 태양 광 시설을 설치하여 포도를 생산하는 기술 개발에 필요한 정 보로 활용될 수 있을 것이다.

In the winter forage study, Italian ryegrass(IRG) and barley were selected. In 2018, the dry matter yield of IRG was 16,915kg per ha under the Agrivoltaic System; this was a little more than 16,750kg per ha of outdoors. On the contrary, the dry matter yield of barley was slightly less under the Agrivoltaic System than that of outdoors. In 2019, the dry matter yield under the Agrivoltaic System was 12,062kg per ha for IRG and 12,195kg per ha for the barley; this was 5.4% and 11.5% less than that of outdoors, respectively. In the summer forage study, corn and sorghum×sudangrass were selected. In 2019, the dry matter yield of corn under the Agrivoltaic System was 13,133kg per ha which was 17% less than that of outdoors. The dry matter yield of sorghum×sudangrass was 12,450kg per ha, which was 82.5% of that of outdoors. In 2020, the dry matter yield of corn under the Agrivoltaic System was 8,033kg per ha which was 7.9% less than that of outdoors. The dry matter yield of sorghum×sudangrass was 5,651kg per ha, which was 11.4% less than that of outdoors.