Name: Diagnostic Techniques for (Eus) Utilizing ai and Machine Learning: Dteam (en Inglés)
SKU: 63929040
Price: 55.44 USD
Availability: InStock
Author: Podeti Koteshwar Rao

portada Diagnostic Techniques for (Eus) Utilizing ai and Machine Learning: Dteam (en Inglés)

Diagnostic Techniques for (Eus) Utilizing ai and Machine Learning: Dteam (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Podeti Koteshwar Rao

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786208421304

Diagnostic Techniques for (Eus) Utilizing ai and Machine Learning: Dteam (en Inglés)

Podeti Koteshwar Rao (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Diagnostic Techniques for (Eus) Utilizing ai and Machine Learning: Dteam (en Inglés)"

Epizootic Ulcerative Syndrome (EUS) is a critical disease that afflicts freshwater fish, marked by ulcerative lesions and elevated death rates, hence hurting aquaculture companies worldwide. Timely and precise identification is crucial to halt the dissemination of EUS and mitigate financial damages. Conventional techniques, including eye inspection and histopathological analysis, tend to be laborious, expensive, and may exhibit insufficient sensitivity. Artificial intelligence (AI) methodologies, particularly machine learning and deep learning models, provide effective solutions for swift and precise EUS identification through the analysis of pictures, environmental data, and outbreak-associated patterns. This research investigates the utilization of AI methodologies for the detection of EUS in freshwater fish, emphasizing techniques, model precision, and practical ramifications. Our research indicates that AI enhances EUS detection rates, facilitating more efficient disease control in aquaculture.