SCAN SICK&HEALTHY LEAF – A SOFTWARE APPLICATION FOR THE DETERMINATION OF THE DEGREE OF THE LEAVES ATTACK PUBLISHEDR. Drienovsky, Alma L. Nicolin, C. Rujescu, F. Sala None firstname.lastname@example.org
Destructive and non-destructive methods have been used over time to determine the foliar surface of plants. The foliar surface at apple is specific to the various biotypes grown and varies with environmental and technological factors. The active photosynthetic surface is often affected by diseases and pests. The present study had the purpose an IT application for determining the sick and healthy foliar surface, Scan Sick&Healty Leaf, developed in the Processing program, with code lines written in Java programming language. A logical scheme edited in VISIO outlined the work steps. Based on the application, this determinate the total, healthy and sick foliar surface affected by the diseases and pests attack at apple leaves (Dysaphis ssp. and Venturia inaequalis). In the case of leaves attacked by gallmite, the total leaf surface varied between 13.57 - 32.74 ± 1.82 cm2, healthy area between 4.77 - 25.53 ± 1.98 cm2 and the attack area between 7.21 - 16.03 ± 0.83 cm2 with a percentage weight between 22.01 - 66.94 ± 4.59%. In cases of Venturia inaequalis attack, the total foliar surface of the studied leaves oscillated between 11.31 - 39.92 ± 3.34 cm2, the healthy leaf area ranged from 8.81 - 39.28 ± 3.44 cm2 and the attack area was between 0.64 - 5.72 ± 0.64 cm2 in absolute values, respectively between 1.61 - 38.09 ± 3.64% in percentages values. The ANOVA test revealed the existence of variance in the experimental data group, under statistical safety, F > F crit, p<<0.001. Analyzing the mean values shown in table 3 for the healthy surface (12.656 cm2) compared to that attacked by the gallmite (11.49 cm2), a ratio of 1.10: 1 was found. And under the same conditions of healthy surface area analysis (20.96 cm2) against the Venturia inaequalis attack (3.164 cm2), a ratio of 6.62: 1 was recorded.
attacked leaves, leaf area, IT application, plant diseases, plant pests, Processing program