Investigation of parasites in the digestive tract of white leg shrimp (Litopenaeus  vannamei) cultured at coastal farms in the Mekong Delta

Dang, Thi Hoang Oanh; Nguyen, Thi Nhu Thuy; Vu, Ngoc Ut

doi:10.22144/ctu.jen.2021.020

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The conventional method, which is often used, relies on visual inspection, observation, and testing on shrimp samples to identify the disease's presence [15]. High accuracy is used when using this technique.…”

Section: A Traditional Methodsmentioning

confidence: 99%

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Quach¹,

Quynh²,

Quoc³

et al. 2023

IJACSA

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With the increasing demand for research on shrimp disease recognition to assist far-off farmers who need the proper assistance for their shrimp farming, shrimp disease prediction research is still in the initial stage. Most current methods utilize vision-based models, which mainly face challenges: symptom detection and image quality. Meanwhile, there are few researches which are language-based to get over the issues. In this study, we will experiment with natural language processing based on recognizing shrimp diseases; based on descriptions of shrimp status. This study provides an efficient solution for classifying multiple diseases in shrimp. We will compare different machine learning models and deep learning models (SVM, Logistic Regression, Multinomial Naive Bayes, (a4) Bernoulli Naive Bayes, Random forest, DNN, LSTM, GRU, BRNN, RCNN) in terms of accuracy and performance. The study also evaluates the TF-IDF technique in feature extraction. Data were collected for 12 types of shrimp diseases with 1,037 descriptions. Firstly, the data is preprocessed with standardised Vietnamese accent typing, tokenized words, converted to lowercase, removed unnecessary characters and stopwords. Then, TF-IDF is utilized to express the text feature weight. Machine learning-based and deep learning-based models are trained. The experimental results show that Random forest (F1-Score micro: 98%) and DNN (Validation accuracy: 84%) are the most efficient models.

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Section: A Traditional Methodsmentioning

confidence: 99%

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Quach¹,

Quynh²,

Quoc³

et al. 2023

IJACSA

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Disease incidence in shrimp farms located in east coastal region of the Mekong Delta, Vietnam

Dang¹,

Truong²,

Nguyen³

2022

CTUJS

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A field study on the water quality parameters and prevalence of diseases was carried out in four locations in the Mekong Delta, Vietnam. A total number of 960 samples (816 with disease signs and 144 without disease sign) of farmed shrimp were collected over 8 sampling months (2 production cycles). Samples were collected every two weeks and when abnormal behavior from cultured shrimp was observed. Five major groups of gross clinical signs were recorded among diseased shrimp samples. Diseases that appeared through the sampling months were: (1) atrophy and pale-colored hepatopancreas (HP) with the empty or little food in the mid gut; (2) empty/little/discontinued food in the midgut and (3) slow growth, HP atrophy and gut with discontinued food. White feces disease was not found in April but appeared for the rest of sampling months with the highest prevalence in July (39,2%) and the lowest prevalence in September (4,9%). White spot disease appeared from October to December (at the end of when the monsoon season and low temperature).

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Khảo sát sự hiện diện của vi bào tử trùng Enterocytozoon heparopenaei (EHP) trên tôm thẻ chân trắng (Litopenaeus vannamei) nuôi ở tỉnh Kiên Giang

Nguyễn,

Trương

et al. 2023

CTUJSVN

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Nghiên cứu được thực hiện nhằm khảo sát tần suất hiện diện của Enterocytozoon heparopenaei (EHP) trên tôm thẻ chân trắng (Litopenaeus vannamei) nuôi ở tỉnh Kiên Giang. Kết quả cho thấy tôm nhiễm EHP trong giai đoạn từ tuần nuôi thứ 4. Các mẫu tôm bệnh đều không có dấu hiệu bệnh lý bất thường, chỉ giảm kích cỡ về chiều dài, khối lượng. Gan tụy của tôm bệnh thường chứa các bào tử dạng hình quả lê hoặc hình trứng, có kích thước rất nhỏ, thường nằm thành từng cụm trong tế bào gan tụy hoặc ở dạng tự do riêng rẽ bên ngoài tế bào. Qui trình PCR cho kết quả với vạch sản phẩm đặc hiệu của EHP là 510bp. Trình tự gen 18s rRNA của EHP được phân lập trong nghiên cứu này tương đồng với trình tự KY643648.1 được đăng trên ngân hàng gen với mức độ tương đồng là 99,8%. EHP nhiễm trên tôm qua các tháng nuôi. Tỷ lệ nhiễm dao động từ 18 đến 65%. Sau 12 tuần nuôi, tôm không nhiễm EHP có chiều dài và khối lượng (13,6cm, 20,2g) lớn hơn có ý nghĩa so với tôm nhiễm EHP (11,3cm, 11,0g).

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Investigation of parasites in the digestive tract of white leg shrimp (Litopenaeus vannamei) cultured at coastal farms in the Mekong Delta

Cited by 3 publications

References 6 publications

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Disease incidence in shrimp farms located in east coastal region of the Mekong Delta, Vietnam

Khảo sát sự hiện diện của vi bào tử trùng Enterocytozoon heparopenaei (EHP) trên tôm thẻ chân trắng (Litopenaeus vannamei) nuôi ở tỉnh Kiên Giang

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