A REAL-TIME SHEEP COUNTING DETECTION SYSTEM BASED ON MACHINE LEARNING-Reference-Cited by-同舟云学术

A REAL-TIME SHEEP COUNTING DETECTION SYSTEM BASED ON MACHINE LEARNING

Published:2022-08-31 Issue: Volume: Page:85-94
ISSN:2068-2239
Container-title:INMATEH Agricultural Engineering
language:en
Short-container-title:INMATEH

Author:

DENG Xuefeng¹,ZHANG Song²,SHAO Yi¹,YAN Xiaoli³

Affiliation:

1. College of Information Science and Engineering, Shanxi Agricultural University, Taigu / China

2. Agricultural Engineering and Information technology, Inner Mongolia Agricultural University, Hohhot / China

3. Taiyuan Jinshan Middle School, Taiyuan / China

Abstract

With the development of modern breeding industry, it is very important to count sheep accurately. In the past, herdsmen used manual statistics to count and manage sheep, which was time-consuming, laborious and often had large errors. In recent years, machine learning methods are widely used in automatic target recognition, which can replace manual labor. This system is based on YOLOv5 algorithm for sheep counting management. The counting of sheep was controlled by two - way counting. This improves the accuracy of counting, saves a lot of manpower and material resources for herdsmen, and greatly promotes the management of animal husbandry.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

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