MODEL FOR PLANTS NUTRIENT STRESS ASSESSMENT BASED ON FLUORESCENCE MICROSCOPIC IMAGES: CASE STUDY IN WHEAT

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Ciprian RUJESCU
Florin SALA

Abstract

The state of plant nutrition was assessed in wheat plants, Alex cultivar, BBCH 12-13 stage. Microscopic images, Leica CLSM, DM2500 were taken on the leaves. On the microscopic images were analyzed in RGB color system, for plants with normal nutrition (Rnn, Gnn, Bnn) and for plants with nutrient deficiency (Rnd, Gnd, Bnd). The average values for R, were Rnn = 110.30, Rnd = 47.65. The differences between the averages of the studied cases were high and statistically significant (test t, t = 14.224, p< 0.001; non-parametric Mann-Whitney test, U = 0, p< 0.001). In the case of the G, the average values were Gnn = 51.92, Gnd = 55.54, and in the case of B, the average values were Bnn = 4.12, Bnd = 4.16, without statistical assurance of differences.The average value of the fractal dimension (D) in the case of plants with normal nutrition was Dnn = 1.746, and in the case of plants with nutritional deficiency it was Dnd = 1.850. The difference between the means was statistically significant, according to the indicated value of t = 10.88, having p < 0.001. And in the case of applying the non-parametric Mann-Whitney test the differences between groups are significant, U = 0, p < 0.001.

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How to Cite
Ciprian RUJESCU, & Florin SALA. (2021). MODEL FOR PLANTS NUTRIENT STRESS ASSESSMENT BASED ON FLUORESCENCE MICROSCOPIC IMAGES: CASE STUDY IN WHEAT. AgroLife Scientific Journal, 10(1). https://doi.org/10.17930/AGL2021121
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