Reflectance estimation in cereal/pea intercropping system based on numerical images analysis method   

DOI: 10.18805/IJARe.A-289    | Article Id: A-289 | Page : 615-618
Citation :- Reflectance estimation in cereal/pea intercropping system based on numerical images analysis method .Indian Journal Of Agricultural Research.2017.(51):615-618
C. Benider, T. Madani, H.Bouzerzour and A. Guendouz beniderchafia@gmail.com
Address : Faculty of Life and Natural Sciences, Ecology and Plant Biology Department, VRBN Lab, University of Ferhat Abbas, Setif-1, Algeria.
Submitted Date : 13-06-2017
Accepted Date : 29-09-2017

Abstract

A Field experiment was carried out during the 2015-2016 growing season at Sersour experimental farm, located in the semi-arid region of Sétif (Algeria). The aim of this study was to evaluate the efficiency of using the numerical image analysis approach to estimate biomass and senescence by mean of appropriate software, the Mesurim Pro (Version 3.3). The results showed a significant difference between leaf reflectance at Red, Green and Blue light; results also registered a positive and significant correlation between leaf reflectance at red and blue, and senescence (r=0.78, r=0.50, respectively). This relationship between senescence and leaf reflectance indicate that the increase in leaf reflectance during senescence stage is due to degradation of leaf chlorophyll content. Over all, the numerical image analysis was very suitable approach to estimate reflectance of vegetal cover and the variation of some physiological traits. 

Keywords

Barley Crops development Leaf growth Pea Reflectance Triticale.

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