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Smart Decision-Support System for Pig Farming Wang, Hao; Li, Boyang; Zhong, Haoming; Xu, Ahong; Huang, Yingjie; Zou, Jingfu; Chen, Yuanyuan; Wu, Pengcheng; Chen, Yiqiang; Leung, Cyril; Miao, Chunyan

Abstract

There are multiple participants, such as farmers, wholesalers, retailers, financial institutions, etc., involved in the modern food production process. All of these participants and stakeholders have a shared goal, which is to gather information on the food production process so that they can make appropriate decisions to increase productivity and reduce risks. However, real-time data collection and analysis continue to be difficult tasks, particularly in developing nations, where agriculture is the primary source of income for the majority of the population. In this paper, we present a smart decision-support system for pig farming. Specifically, we first adopt rail-based unmanned vehicles to capture pigsty images. We then conduct image stitching to avoid double-counting pigs so that we can use image segmentation method to give precise masks for each pig. Based on the segmentation masks, the pig weights can be estimated, and data can be integrated in our developed mobile app. The proposed system enables the above participants and stakeholders to have real-time data and intelligent analysis reports to help their decision-making.

Item Metadata

Title
Smart Decision-Support System for Pig Farming
Creator
Wang, Hao; Li, Boyang; Zhong, Haoming; Xu, Ahong; Huang, Yingjie; Zou, Jingfu; Chen, Yuanyuan; Wu, Pengcheng; Chen, Yiqiang; Leung, Cyril; Miao, Chunyan
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2022-11-30
Description
There are multiple participants, such as farmers, wholesalers, retailers, financial institutions, etc., involved in the modern food production process. All of these participants and stakeholders have a shared goal, which is to gather information on the food production process so that they can make appropriate decisions to increase productivity and reduce risks. However, real-time data collection and analysis continue to be difficult tasks, particularly in developing nations, where agriculture is the primary source of income for the majority of the population. In this paper, we present a smart decision-support system for pig farming. Specifically, we first adopt rail-based unmanned vehicles to capture pigsty images. We then conduct image stitching to avoid double-counting pigs so that we can use image segmentation method to give precise masks for each pig. Based on the segmentation masks, the pig weights can be estimated, and data can be integrated in our developed mobile app. The proposed system enables the above participants and stakeholders to have real-time data and intelligent analysis reports to help their decision-making.
Subject
smart agriculture; pig farming
Genre
Article
Type
Text
Language
eng
Date Available
2025-06-09
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0449065
URI
http://hdl.handle.net/2429/91304
Affiliation
Applied Science, Faculty of; Non UBC
Citation
Drones 6 (12): 389 (2022)
Publisher DOI
10.3390/drones6120389
Peer Review Status
Reviewed
Scholarly Level
Faculty; Researcher
Rights URI
https://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

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Rights

CC BY 4.0