基于3CCD摄像机的水稻农学参数估算  

Estimating models of rice agronomic parameters using 3CCD digital camera

作　　者：杨燕琼[1] 罗锡文[1] 黄农荣 

机构地区：[1]华南农业大学工程学院,广州510642 [2]广东省农业科学研究院水稻研究所,广州510642

出　　处：《农业工程学报》2012年第6期174-178,共5页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家高技术研究发展计划项目(2006AA10A307);国家自然科学基金项目(U0931001)

摘　　要：水稻农学参数的估算是调控水稻生长、预测水稻产量的重要基础和根据。该文以广东省农业科学研究院大丰农场水稻研究所的稻田为研究对象,根据植物反射光谱的特性,研究3CCD摄像机水稻叶面积指数、生物量、叶绿素含量、叶长、叶宽、株高、产量等农学参数的估算,结果表明:分蘖期农学参数不适于用3CCD摄像机估算;叶面积指数在分化期估算最准确;生物量、叶绿素含量、产量均在抽穗期估算较好;3CCD摄像机不适用于大面积水稻株高、剑叶长、剑叶宽等外部特征的估算。该文为CCD摄像机的水稻估产打下基础。The estimation of rice agronomic parameters is an important basis for regulating rice growth and forecast rice yield. Taking paddyfield of Rice Research Institute, Guangdong Academy of Agricultural Sciences as study case, estimation of rice leaf area index, biomass, chlorophyll contents, leaf length, leaf width, height, yield, etc were studied by 3CCD digital camera according to plant reflectance traits. The results showed that the 3CCD digital camera could not be suitable for estimating rice agronomic parameters at tillering stage, leaf area index estimation was the best at idiophase, and the estimation of biomass, chlorophyll contents, yield was better at heading stage. The 3CCD digital camera can＇t be used in the estimation of rice height, leaf length, leaf width etc external characteristics of paddyfield. The study provides a foundation for estimating rice yield using CCD digital cameras.

关 键 词：数字摄像机 反射率 农学 参数估算 植被指数 水稻 

分 类 号：S126[农业科学—农业基础科学]