Abstract
Visual observation is a method of assessing the intensity of thrips infestation that assessors favor because it is relatively easy to apply. However, on the other hand, it has many limitations. Therefore, a more accurate alternative method, such as digital image processing, is needed. This study aims to evaluate the accuracy of visual observation and digital image processing used to assess the thrips attack on cayenne pepper leaves. This study was designed following a Randomized Group Design with four treatments, namely P1 (1), P2 (3), P3 (5), and P4 (7 thrips/container cup). Each treatment was repeated three times (12 experimental units), and each experimental unit used five test leaves. The variable observed was the accuracy of assessing thrips attack intensity on chili leaves based on visual observation and image processing. The results show that high thrips populations can cause high attack intensity on chili plants based on visual observation results, while based on image processing, it is known that high thrips populations do not necessarily cause high attack intensity. The assessment of attack intensity based on visual observation provides a lower accuracy level than image processing. The results of the assessment of attack intensity based on visual observations are less reliable because there is a bias of 0.67.
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Schedule a callMore From: Jurnal Berkala Ilmu-Ilmu Pertanian (Journal of Agricultural Sciences)
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