Journal of Drive and Control (드라이브 ㆍ 컨트롤)

The Korean Society for Fluid Power and Construction Equipment (유공압건설기계학회)
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Development of Rice Yield Prediction System of Head-Feed Type Combine Harvester

자탈형 콤바인의 실시간 벼 수확량 예측 시스템 개발

  • Sang Hee Lee (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • So Young Shin (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Deok Gyu Choi (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Won-Kyung Kim (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Seok Pyo Moon (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Chang Uk Cheon (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Seok Ho Park (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Youn Koo Kang (Upland Mechanization Team, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Sung Hyuk Jang (Department of Biosystems Machinery Engineering, Chungnam National University)
  • Received : 2024.02.09
  • Accepted : 2024.05.14
  • Published : 2024.06.01
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Abstract

The yield is basic and necessary information in precision agriculture that reduces input resources and enhances productivity. Yield information is important because it can be used to set up farming plans and evaluate farming results. Yield monitoring systems are commercialized in the United States and Japan but not in Korea. Therefore, such a system must be developed. This study was conducted to develop a yield monitoring system that improved performance by correcting a previously developed flow sensor using a grain tank-weighing system. An impact-plated type flow sensor was installed in a grain tank where grains are placed, and grain tank-weighing sensors were installed under the grain tank to estimate the weight of the grain inside the tank. The grain flow rate and grain weight prediction models showed high correlations, with coefficient of determinations (R2) of 0.9979 and 0.9991, respectively. A main controller of the yield monitoring system that calculated the real-time yield using a sensor output value was also developed and installed in a combine harvester. Field tests of the combine harvester yield monitoring system were conducted in a rice paddy field. The developed yield monitoring system showed high accuracy with an error of 0.13%. Therefore, the newly developed yield monitoring system can be used to predict grain weight with high accuracy.

Keywords

Acknowledgement

이 연구는 농촌진흥청 국립농업과학원 연구개발사업(과제번호: PJ016192012022)의 지원으로 수행되었음.

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