摘要
为了快速、无损、准确地测量植物叶面积,设计了一种利用多晶硅光电感应板与平板均匀发光光源照射系统构成的叶面积测量装置。通过试验,建立了植物叶片叶面积与光源光强、光源对叶片透射率、环境温度、光电感应板的光电感应电压值间的BP神经网络关系。结果表明:该仪器可测量不同形状、厚度、软硬程度、叶片大小的植物叶片面积,模型预测值与实际值决定系数R2为0.98,测量精度为94.8%,为叶片叶面积测量提供了一种新的测量方法和装置。
A new leaf area measuring instrument was developed by using poly-Si photoelectric sensor board and uniform lighting slab with light source systems for the fast,nondestructive and accurate measurement of plant leaf area.Back propagation neural networks were used to develop the relationships between leaf area index and light intensity,leaf transmittance,environmental temperature,voltage values of photoelectric sensor board.The results indicated that this instrument could measure the leaf area with different shape,thickness and softness.The determination coefficient （R^2） between the measured and predicted values was 0.98,and the measuring accuracy was 94.8%.It was concluded that a new measuring method and instrument were developed for the detection of leaf area.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2010年第9期198-202,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家高技术研究发展计划("863"计划)项目(2007AA10Z210)
国家农业科技成果转化基金项目(2009GB23600517)
公益性行业(农业)科研专项(200803037)
浙江省自然科学基金重点项目(Z3090295)
宁波市重大科技攻关项目(007C10034)资助
关键词
神经网络
无线网络
仪器
植物叶面积
无损检测
neural network
wireless networks
instruments
plant leaf area
non-destructive measurement
