A Study for Estimation of Bio Organism Content in Aquaculture Pond Based on Image Color and Light Intensity

Gunawan, Agus Indra and Pratama, Ariesa Editya and Dewantara, Bima Sena Bayu and Puspitasari, Indah and Setyastuti, Tri Ari A Study for Estimation of Bio Organism Content in Aquaculture Pond Based on Image Color and Light Intensity. International Electronics Symposium (IES). pp. 650-654. ISSN 978-1-7281-4449-8

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Abstract

The defense on food today is mostly depend on agriculture. However, it is predicted that on 2050, the food production from agriculture will reduce and be replaced by aquaculture. Indonesia may take the advantage from this situation. Since it has the second longest of its coastline in the world, Indonesia has a potential to be number one for fishery production from aquaculture field. Therefore, survival rate of the creature inside the pond must be very high. One of the factors that influence survival rate of creature in the pond is water quality, which is influenced by physical, biological and chemical properties. In this study, we deal with biological content in the pond, of which several bio-organism live in. Four type of planktons are taken as samples i.e., Chlorella Vulgaris, Thalasiosira Sp., Skeletonema Sp. and Skeletonema Costatum. Several plankton contents, 0%. 5%, 10%, 25% and 50% are prepared. This sample is then observed under digital microscope and RGB LED. The result from digital microscope and RGB LED are then plotted and taken into formulation model. From this model, four types of plankton are possible to be classified.

Item Type: Article
Uncontrolled Keywords: Aquaculture, plankton, fishery, bio-organism
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Depositing User: Unnamed user with email admin@poltekkpsidoarjo.ac.id
Date Deposited: 29 Jun 2023 06:08
Last Modified: 29 Jun 2023 06:08
URI: https://repository.poltekkpsidoarjo.ac.id/id/eprint/13

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