F. Ribeyre, M. Jaeger, Alexandre Ribeyre, P. de Reffye
{"title":"StemGL, a FSPM tool dedicated to crop plants model calibration in the single stem case","authors":"F. Ribeyre, M. Jaeger, Alexandre Ribeyre, P. de Reffye","doi":"10.1109/PMA.2018.8611601","DOIUrl":null,"url":null,"abstract":"FSPM are getting popular, open to a wide range of application and implemented in numerous simulation software or platforms. However, those seldom cover the field calibration aspects. We propose here a simple tool, StemGL, limited to single-stemmed plants, covering both calibration and simulation aspects of biomass production and allocation. Based on GreenLab model assumptions, the tool implements stochastic simulation capabilities; it offers virtual insights, and also presents field data comparisons. The application is delivered with a set of examples, with virtual plants to analyze and simulate, and real field plants with their parameters to retrieve.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMA.2018.8611601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
FSPM are getting popular, open to a wide range of application and implemented in numerous simulation software or platforms. However, those seldom cover the field calibration aspects. We propose here a simple tool, StemGL, limited to single-stemmed plants, covering both calibration and simulation aspects of biomass production and allocation. Based on GreenLab model assumptions, the tool implements stochastic simulation capabilities; it offers virtual insights, and also presents field data comparisons. The application is delivered with a set of examples, with virtual plants to analyze and simulate, and real field plants with their parameters to retrieve.