Title : 
A comparative study on wheat leaf area index by different measurement methods
         
        
            Author : 
Zhang, Rongxia ; Ba, Jialiang ; Ma, Yi ; Wang, Shanqin ; Zhang, Jian ; Li, Weidong
         
        
            Author_Institution : 
Coll. of Resources & Environ., Huazhong Agric. Univ., Wuhan, China
         
        
        
        
        
        
            Abstract : 
Leaf area index (LAI) is an important parameter on the crop yield estimation and pests and diseases identification. LAI is a good indicator for crop growth and energy exchange information. At present, there are many ways to measure the crop LAI, but there are quite few studies or testing to compare the applicability among the different methods on the LAI inversion. In this study, some common methods, like hyper-spectral inversion model, digital image method had been adopted for wheat LAI measurement. According to the analysis of the data which had been collected from the different growth periods of wheat, this paper had compared the accuracy and concluded the applicability of the different LAI measurement methods. This article aims to provide some guidance on the method selection for leaf area index estimation of wheat.
         
        
            Keywords : 
crops; geophysical image processing; vegetation mapping; LAI measurement methods; crop growth indicator; crop leaf area index; crop yield estimation; data analysis; digital image method; disease identification method; energy exchange information; hyperspectral inversion model; pest identification method; wheat leaf area index; Agriculture; Area measurement; Booting; Digital images; Filling; Image segmentation; Indexes; hyper-spectral; image; interval partial least-squares(iPLS); leaf area index(LAI);
         
        
        
        
            Conference_Titel : 
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
         
        
            Conference_Location : 
Shanghai
         
        
            Print_ISBN : 
978-1-4673-2495-3
         
        
            Electronic_ISBN : 
978-1-4673-2494-6
         
        
        
            DOI : 
10.1109/Agro-Geoinformatics.2012.6311671