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  • Công bố khoa học và công nghệ Việt Nam

Khoa học kỹ thuật và công nghệ

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Hoàng Thị Điệp*, Nguyễn Thị Ánh Dương, Nguyễn Kiến Thái Dương, Nguyễn Duy Vũ, Lưu Thị Quỳnh Trang, Phạm Minh Triển(1)*, Trần Thị Thu Phương

Nghiên cứu phát triển hệ thống tính toán dự báo và thu thập dữ liệu nghiên cứu sâu keo mùa thu trên cây ngô

Tạp chí Khoa học và Công nghệ Việt Nam - B

2024

3B

38

Trong những năm gần đây, việc trồng ngô trên toàn thế giới gặp thách thức lớn bởi sự gia tăng nhanh chóng của sâu keo mùa thu (Spodoptera frugiperda, tên tiếng Anh là Fall armyworm - FAW). Để duy trì mật độ ấu trùng dưới ngưỡng thiệt hại kinh tế, chúng ta cần có các giải pháp liên ngành kịp thời hỗ trợ nông nghiệp như sử dụng dịch tễ học bảo vệ thực vật, internet vạn vật và các phương pháp khoa học dữ liệu thực hiện phát hiện sớm, theo dõi, dự báo và đưa ra các lựa chọn thông minh...

The rapid increase in fall armyworms (FAW, Spodoptera frugiperda) in recent years has posed major challenges to maize growers around the globe. To keep larval density below the economic threshold, we need interdisciplinary agricultural solutions like plant protection epidemiology, the Internet of Things, and scientific data techniques for early detection, monitoring, forecasting, and making informed decisions. Pest control should be planned ahead of time to prevent indiscriminate pesticide spraying, waste, and a negative effect on the environment...

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