首页|期刊导航|江西农业大学学报|烟草育苗多环境因素耦合的壮苗素质评估模拟模型研究

烟草育苗多环境因素耦合的壮苗素质评估模拟模型研究OA

Research on simulation model for quality evaluation of strong seedlings coupled with multiple environmental factors in tobacco seedling raising

中文摘要英文摘要

[目的]为无损预测烟苗素质,以智能育苗场景下漂浮育苗的烟苗为研究对象,构建基于温室多环境因素耦合的烟草壮苗素质评估模拟模型,并进行内部与外部验证.[方法]通过传感器实时自动采集烟苗生长发育过程中设施内空气温度、空气相对湿度、光照强度和CO2浓度,构建烟草育苗多环境因素耦合生长模拟模型,并在烟苗的大十字期至五叶一心期测定其株高、SPAD值、全株鲜重、地上干重、地下干重和全株干重,构建烟苗真实生长模型.[结果]烟苗多环境因素耦合壮苗素质评估模拟模型的R2为0.998 7,RMSE为0.155 5.真实生长模型内部验证的R2为0.997 9,RMSE为0.111 9,基于不同播期烟苗的设施内环境数据外部验证的R2为0.995 2,RMSE为0.263 1.[结论]烟草育苗多环境因素耦合的壮苗素质评估模拟模型拟合效果较好、泛化能力较强,可实现烟苗素质的无损预测,为未来基于育苗环境无损评估烟苗素质提供科学依据和技术支撑.

[Objective]In order to predict the quality of tobacco seedlings without damage,this study took the tobacco seedlings raised by floating in the intelligent seedling raising scenario as the research object,constructed a simulation model for quality evaluation of strong tobacco seedlings based on the coupling of multiple environmental factors in greenhouses,and conducted internal and external verification.[Method]The air temperature,relative humidity,light intensity and CO2 concentration in the facility during the growth and development of tobacco seedlings were automatically collected in real time through sensors to construct a multi-environmental factor coupled growth simulation model for tobacco seedling cultivation.The plant height,SPAD value,fresh weight of the whole plant,shoot dry weight,underground dry weight and dry weight of the whole plant were measured from the large cross-shaped stage to the five-leaf stage of the tobacco seedlings to construct a real growth model of tobacco seedlings.[Result]The R2 of the simulation model for quality evaluation of strong seedlings coupled with multiple environmental factors in tobacco seedlings was 0.998 7,and the RMSE was 0.155 5.The R2 verified internally by the real growth model was 0.997 9,and the RMSE was 0.111 9.The R2 verified externally by the environmental data of tobacco seedlings in the facility based on different sowing periods was 0.995 2,and the RMSE was 0.263 1.[Conclusion]The simulation model for quality evaluation of strong tobacco seedlings coupled with multiple environmental factors has a good fitting effect and strong generalization ability,which can achieve non-destructive prediction of tobacco seedling quality,providing a scientific basis and technical support for future non-destructive prediction of tobacco seedling quality assessment based on seedling cultivation environment.

李相潼;尹海静;刘光亮;董令葳;陈爱国

中国农业科学院烟草研究所 农业农村部烟草生物学与加工重点实验室,山东 青岛 266101||中国农业科学院研究生院,北京 100081中国农业科学院烟草研究所 农业农村部烟草生物学与加工重点实验室,山东 青岛 266101||中国农业科学院研究生院,北京 100081中国农业科学院烟草研究所 农业农村部烟草生物学与加工重点实验室,山东 青岛 266101中国农业科学院烟草研究所 农业农村部烟草生物学与加工重点实验室,山东 青岛 266101中国农业科学院烟草研究所 农业农村部烟草生物学与加工重点实验室,山东 青岛 266101

农业科技

烟草设施育苗素质评估多因素耦合环境感应函数模拟模型

tobaccofacility seedling cultivationquality evaluationmulti-factor couplingenvironmental sensing functionsimulation model

《江西农业大学学报》 2026 (2)

375-386,12

国家烟草专卖局重点研发项目(110202502018)和中国农业科学院科技创新工程(ASTIP-TRIC03)Project supported by Key Research and Development Project of the State Tobacco Monopoly Administration(110202502018)and Science and Technology Innovation Project of CAAS(ASTIP-TRIC03) 云南省烟草公司保山市公司项目(2025530000242001),福建省烟草公司南平市公司项目(2023350700240134)同时对本研究给予了资助,谨致谢意!

10.3724/aauj.2026032

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