Výsledky vyhledávání - "Wara Taparhudee"

Akademický článek

Optimizing Convolutional Neural Networks, XGBoost, and Hybrid CNN-XGBoost for Precise Red Tilapia (Oreochromis niloticus Linn.) Weight Estimation in River Cage Culture with Aerial Imagery

Autor: Wara Taparhudee, Roongparit Jongjaraunsuk, Sukkrit Nimitkul, Pimlapat Suwannasing, Wisit Mathurossuwan

Publikováno v: AgriEngineering, Vol 6, Iss 2, Pp 1235-1251 (2024)

Accurate feeding management in aquaculture relies on assessing the average weight of aquatic animals during their growth stages. The traditional method involves using a labor-intensive approach and may impact the well-being of fish. The current resea

Externí odkaz: https://doaj.org/article/d3646e6fdc2040ebac129d09bbdf6bcc

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Akademický článek

Transfer Learning Model Application for Rastrelliger brachysoma and R. kanagurta Image Classification Using Smartphone-Captured Images

Autor: Roongparit Jongjaraunsuk, Wara Taparhudee, Soranuth Sirisuay, Methee Kaewnern, Varunthat Dulyapurk, Sommai Janekitkarn

Publikováno v: Fishes, Vol 9, Iss 3, p 103 (2024)

Prior aquatic animal image classification research focused on distinguishing external features in controlled settings, utilizing either digital cameras or webcams. Identifying visually similar species, like Short mackerel (Rastrelliger brachysoma) an

Externí odkaz: https://doaj.org/article/9706ee5b38f8450fbf4ca1af43b01eea

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Akademický článek

Comparison of Water Quality Prediction for Red Tilapia Aquaculture in an Outdoor Recirculation System Using Deep Learning and a Hybrid Model

Autor: Roongparit Jongjaraunsuk, Wara Taparhudee, Pimlapat Suwannasing

Publikováno v: Water, Vol 16, Iss 6, p 907 (2024)

In modern aquaculture, the focus is on optimizing production and minimizing environmental impact through the use of recirculating water systems, particularly in outdoor setups. In such systems, maintaining water quality is crucial for sustaining a he

Externí odkaz: https://doaj.org/article/5b75dc3de765463a8ffbd7db39c2e55f

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Akademický článek

Minimum Requirement to Improve Quality before Discharging from Hybrid Red Tilapia Intensive Cage-Culture in Earthen Ponds to the Environment

Autor: Wara Taparhudee, Jesada Is-haak, Roongparit Jongjaraunsuk

Publikováno v: Environment and Natural Resources Journal, Vol 20, Iss 4, Pp 340-347 (2022)

This study determined a practical method to reduce environmental pollution by wastewater from fish ponds. Water quality in three hybrid red tilapia ponds (0.24 ha) was examined before and during harvest at five water depths of 10, 20, 50, 100, and 15

Externí odkaz: https://doaj.org/article/aff2a2bd41cf47f89f7638cd12168548

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Akademický článek

Behavioural Response Detection in Nile Tilapia, Oreochromis niloticus (Linnaeus, 1758) With Different Formalin Concentrations Using Tracker Software-Based Computer Vision Techniques

Autor: WARA TAPARHUDEE, ROONGPARIT JONGJARAUNSUK

Publikováno v: Asian Fisheries Science, Vol 36, Iss 1 (2023)

Changes in fish behaviour caused by stress are difficult to measure. In this study, tracker software-based computer vision techniques were applied, with formalin used as a stressor. At different formalin concentrations, stress responses of Nile tilap

Externí odkaz: https://doaj.org/article/05fb1ac7c61742cc96dfb77c4adb06d9

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Akademický článek

Installation of shelters on growth and survival of blue swimming crab (Portunus pelagicus) for development of its culture

Autor: Vutthichai Oniam, Wara Taparhudee, Ruangvit Yoonpundh

Publikováno v: Songklanakarin Journal of Science and Technology (SJST), Vol 42, Iss 1, Pp 139-145 (2020)

The objectives of this study were to conduct experiments involving the rearing of the blue swimming crab Portunus pelagicus with four different types of shelters in concrete tanks: 1) 90° bent plastic plates; 2) concrete blocks; 3) PVC pipes; and

Externí odkaz: https://doaj.org/article/5c0a9a87f3184aef8e586fb4de9a0798

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Water Quality Management Guidelines to Reduce Mortality Rate of Red Tilapia (Oreochromis niloticus x Oreochromis mossambicus) Fingerlings Raised in Outdoor Earthen Ponds with a Recirculating Aquaculture System Using Machine Learning Techniques

Autor: Putra Ali Syahbana Matondang, Wara Taparhudee, Ruangvit Yoonpundh, Roongparit Jongjaraunsuk

Publikováno v: ASEAN Journal of Scientific and Technological Reports. 25:30-41

Machine learning techniques have been widely adopted over the last few decades, especially in fisheries. This study aimed to determine the best practice of machine learning techniques with a decision tree algorithm in reducing the mortality rate of r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b2ab06977b9c55ad1951c9690da1845
https://doi.org/10.55164/ajstr.v25i4.247049

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