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작물 생장 모의×Phenological Observation×
분야농학농학
계열Process / pipelineProcess / pipeline
기원 연도20031974
창시자John W. Jones, Gerrit Hoogenboom et al.Zadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean)
유형Computational pipelineObservational and classification pipeline
원전Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Basso, B., Hunt, L. A., ... & Winter, S. R. (2003). The DSSAT cropping system model. European journal of agronomy, 18(3-4), 235-265. DOI ↗Zadoks, J. C., Chang, T. T., & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed research, 14(6), 415-421. DOI ↗
별칭Crop phenological model, Growth stage simulationGrowth stage assessment, Phenological monitoring, Crop stage scale
관련55
요약Crop Growth Simulation is a computational pipeline for predicting daily or seasonal crop development, biomass accumulation, and yield under varying environmental conditions. Developed by Jones and colleagues in the DSSAT framework, this method integrates agronomic knowledge with process-based modeling to enable decision support in field management.Phenological Observation is an observational and classification pipeline for systematically recording crop development stages from germination to maturity. Standardized through crop-specific scales (Zadoks for cereals, Fehr for soybean), this method enables precise communication of crop status, timing of management decisions (fungicide application, irrigation), and prediction of harvest readiness.
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ScholarGate방법 비교: Crop Growth Simulation · Phenological Observation. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare