Crab Larvae Counter Using Image Processing

Abstract

Very small larval size, high mortality rate of crab larvae, the absence of an accurate crab larva counter at affordable price, the density of larvae that are not known accurately, the ratio of feed that not in accordance with the number of larvae to damage water quality and cannibalism, water quality cannot be adjusted to the density of distribution, and economically unprofitable both in terms of feed efficiency and buying and selling transactions. By knowing the number of crab larvae accurately the survival rate of crab larvae increas es and is economically beneficial. In this study, larvae counters were designed and developed. This tool uses digital imagery to detect and count crab larvae zoea-1 phase. The accuracy of the crab larva counter is 89,8%.

Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique

“…In the author's previous research, the author has counted crab larvae with image processing only in the zoea 1 larval phase with 89.88% accuracy (Zakiyabarsi et al, 2019). Based on these things, the author raises the research title Image Processing-Based Crab Larvae Counter zoea 2 -zoea 4 with Adaptive Gaussian Filter Algorithm and Blob Detection Technique with a slightly different method to offer information on the quantity of crab larvae that is anticipated to have higher accuracy than prior studies and can be used by the general public for cultivation and economic purposes in a simple and cost-effective manner.…”