A SMART FARM MANAGEMENT APPLICATION USING YOLOv11
As agriculture modernizes, integrating artificial intelligence (AI), image processing, and object recognition into farm management systems has become essential, especially in livestock farming, where traditional methods fall short. This paper introduces a smart farm application using the YOLOv11 mod...
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2025
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oai:scholar.dlu.edu.vn:123456789-49382025-07-11T14:11:41Z A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 Dang Thi Quynh Nhu Dau Thi Tieu Diep Phan Thanh Thao Quyen Nguyễn, Hữu Khánh Dương, Bảo Ninh Nguyễn, Thị Lương farm monitoring support, YOLO, smart farm management, intelligent statistics, high-tech agriculture, digital transformation. As agriculture modernizes, integrating artificial intelligence (AI), image processing, and object recognition into farm management systems has become essential, especially in livestock farming, where traditional methods fall short. This paper introduces a smart farm application using the YOLOv11 model for real-time object detection to enhance livestock monitoring and control. The system, built with Python (backend), ReactJS (frontend), NodeJS, and Capacitor for mobile deployment, detects anomalies such as abnormal animal behavior or unauthorized access. It tracks individual animals' data and supports resource planning, disease monitoring, and intelligent reporting. Designed for small to medium-sized farms, the application improves productivity, security, and sustainability by aligning with the digital transformation of agriculture. 2025-07-11T14:11:31Z 2025-07-11T14:11:31Z 2025 Conference paper Bài báo đăng trên KYHT trong nước (có ISBN) https://scholar.dlu.edu.vn/handle/123456789/4938 vi ICT2025 |
institution |
Thư viện Trường Đại học Đà Lạt |
collection |
Thư viện số |
language |
Vietnamese |
topic |
farm monitoring support, YOLO, smart farm management, intelligent statistics, high-tech agriculture, digital transformation. |
spellingShingle |
farm monitoring support, YOLO, smart farm management, intelligent statistics, high-tech agriculture, digital transformation. Dang Thi Quynh Nhu Dau Thi Tieu Diep Phan Thanh Thao Quyen Nguyễn, Hữu Khánh Dương, Bảo Ninh Nguyễn, Thị Lương A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
description |
As agriculture modernizes, integrating artificial intelligence (AI), image processing, and object recognition into farm management systems has become essential, especially in livestock farming, where traditional methods fall short. This paper introduces a smart farm application using the YOLOv11 model for real-time object detection to enhance livestock monitoring and control. The system, built with Python (backend), ReactJS (frontend), NodeJS, and Capacitor for mobile deployment, detects anomalies such as abnormal animal behavior or unauthorized access. It tracks individual animals' data and supports resource planning, disease monitoring, and intelligent reporting. Designed for small to medium-sized farms, the application improves productivity, security, and sustainability by aligning with the digital transformation of agriculture. |
format |
Conference paper |
author |
Dang Thi Quynh Nhu Dau Thi Tieu Diep Phan Thanh Thao Quyen Nguyễn, Hữu Khánh Dương, Bảo Ninh Nguyễn, Thị Lương |
author_facet |
Dang Thi Quynh Nhu Dau Thi Tieu Diep Phan Thanh Thao Quyen Nguyễn, Hữu Khánh Dương, Bảo Ninh Nguyễn, Thị Lương |
author_sort |
Dang Thi Quynh Nhu |
title |
A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
title_short |
A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
title_full |
A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
title_fullStr |
A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
title_full_unstemmed |
A SMART FARM MANAGEMENT APPLICATION USING YOLOv11 |
title_sort |
smart farm management application using yolov11 |
publishDate |
2025 |
url |
https://scholar.dlu.edu.vn/handle/123456789/4938 |
_version_ |
1845408514800877568 |