ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

作物成長シミュレーション×開花期観測×
分野農学農学
系統Process / pipelineProcess / pipeline
提唱年20031974
提唱者John W. Jones, Gerrit Hoogenboom et al.Zadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean)
種類Computational pipelineObservational and classification pipeline
原典Jones, 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 ↗
別名Crop phenological model, Growth stage simulationGrowth stage assessment, Phenological monitoring, Crop stage scale
関連55
概要Crop 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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Crop Growth Simulation · Phenological Observation. 2026-06-18に以下より取得 https://scholargate.app/ja/compare