Laboratory Estimation of Sugar Beet Leaf Nitrogen Status by ~Color Image Processing
Author(s):
Abstract:
The variable nitrogen fertilization in the field is an important aspect of precision management of crop production to increase fertilizer efficiency and to reduce the rick of environment pollution. This technology, however, requires online determination of plant nutrient status in the field. In this study for the first time in sugar beet, a color image analysis was performed to estimate plant nitrogen status. The experiment was carried out in a phytotron and nitrogen was applied at six levels (0, 100, 200, 300, 400 and 500 kg/ha) to the sugar beet grown in pots sized 22cm diameter. Chlorophyll index of the leaves was measured by a chlorophyll meter (SPAD). Two color and one gray level models were developed to estimate sugar beet leaf SPAD values based on the color images captured from sugar beet leaves using with a digital camera. The gray level model indicated a reasonable relationship (R2=0.79) to estimate the sugar beet leaf chlorophyll with a lower analysis time (half of the color models), however the 2R-B model (R2=0.93) was considered more reliable approach for estimating the chlorophyll level of sugar beet
Language:
Persian
Published:
Journal of Agricultural Science and Sustainable Production, Volume:19 Issue: 1, 2010
Page:
189
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