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Abstract
Introduction
Litreture Review
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Agriculture
Horticulture

Ornamental Fish Disease Prediction System

Profile image of Narmada GamageNarmada Gamage

International Journal of Computer Applications

https://doi.org/10.5120/IJCA2023922530
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Abstract

Now, many individuals practice ornamental fish breeding as a part time, while others do it as their primary source of income. Some people practice ornamental fish breeding while having little expertise in the subject. Some individuals do this without knowing what illnesses might affect fish under varied environmental circumstances or what treatments are available. As a solution, we intend to find out what ailment's animals may have by monitoring the aquatic environment's environmental conditions and developing remedies for them. The key technology we utilized to create the I o T device was Arduino. To transport data from the device to the database, the PHP programming language is employed. We gathered data from prior articles. It is anticipated which aquatic plants are ideal for growing in this habitat by monitoring the aquatic environment of this water using an IoT device. If the aquatic habitat is unsuitable for fish, they will investigate what diseases the fish might contract in that setting and what treatments are available. Simultaneously, the number of fish that can be held in a tank, the amount of food they require, and the amount of food are projected. We illustrate the source of fish illnesses and how to avoid them. It is more useful for fish dealers and consumers to have a thorough awareness of what fish diseases are and what treatments can be done. We can surely declare that the accuracy of our study is 99%.

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References (11)

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