NHẬN DẠNG HÀNH VI CÁ: TỔNG QUAN PHƯƠNG PHÁP VÀ ĐỊNH HƯỚNG NGHIÊN CỨU CHO CÁC LOÀI NUÔI CHỦ LỰC Ở VIỆT NAM

Các tác giả

  • Huỳnh Minh Vũ
  • Nguyễn Văn Khanh
  • Nguyễn Hoàng Dũng

Từ khóa

Behavior recognition, Behavior analysis, Behavioral detection, Fish activity, Aquaculture, Nhận dạng hành vi, Phân tích hành vi, Phát hiện hành vi, Hoạt động của cá, Nuôi trồng thủy sản

DOI:

https://doi.org/10.34238/tnu-jst.14134

Tóm tắt

Trong những năm gần đây, việc nhận dạng và phân tích hành vi của cá đã và đang thu hút nhiều sự quan tâm của các nhà khoa học. Hành vi của cá có liên quan mật thiết đến chất lượng nuôi trồng thủy sản (bệnh tật, căng thẳng (stress), sợ hãi, đói,...).Nhằm phân tích các phương pháp có khả năng nhận dạng hành vi củacá và đề xuất các hướng nghiên cứu tiềm năng trong tương lai, các công trình nghiên cứu liên quan trong giai đoạn 2020–2025 đã được thống kê và phân tích chi tiết trong bài báo này. Đặc biệt, lý do các loại cá được quan tâm nhiều ở Việt Nam đã được phân tích chi tiết nhằm xác định rõ loài cá nào cần được nghiên cứu. Kết quả cho thấy công nghệ thị giác máy tính và học sâu nhận được sự quan tâm nhiều nhất của các nhà khoa học trên thế giới. Hơn nữa, đây cũng là phương pháp nổi trội trong việc nhận dạng và phân loại hành vi cá. Đối với Việt Nam, loài cá được quan tâm, nuôi trồng và xuất khẩu nhiều nhất là cá tra nước ngọt. Tuy nhiên, chưa có nhiều nghiên cứu về hành vi của loài cá này liên quan đến bệnh tật, ảnh hưởng của môi trường ao nuôi, âm thanh và ánh sáng với cường độ cao,...nhằm nâng cao hiệu quả của việc nuôi trồng (phát hiện sớm bệnh và có biện pháp phòng ngừa lây lan, giảm tỉ lệ cá chết do chất lượng nước kém, hạn chế âm thanh và cường độ sáng lớn,...). Đồng thời, cần lựa chọn giải pháp nhận dạng và phân loại hành vi của cá tra phù hợp với điều kiện thực tế góp phần thúc đẩy quản lý, nuôi trồng thủy sản một cách hiệu quả và bền vững cho vùng Đồng bằng sông Cửu Long nói riêng và cả nước nói chung.

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Đã Xuất bản

2026-05-26

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Chuyên mục

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