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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Những tác giả chính: Dang Thi Quynh Nhu, Dau Thi Tieu Diep, Phan Thanh Thao Quyen, Nguyễn, Hữu Khánh, Dương, Bảo Ninh, Nguyễn, Thị Lương
Formáid: Conference paper
Teanga:Vietnamese
Foilsithe: 2025
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Rochtain Ar Líne:https://scholar.dlu.edu.vn/handle/123456789/4938
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Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
id oai:scholar.dlu.edu.vn:123456789-4938
record_format dspace
spelling 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
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