Development of a performance model for classifying broiler farms
Broiler meat is the second world's most consumed meat, and the increase in consumption by 2027 is forecasted to be near 35 kg/capita/year. Brazil ranks third in broiler production globally and is the world's largest exporter of chicken meat. To reach proper rearing conditions, broiler farm...
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| Format: | EJournal Article |
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Diponegoro University,
2022-03-01.
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| LEADER | 03356 am a22003253u 4500 | ||
|---|---|---|---|
| 001 | JITAA_UNDIP_38664_pdf | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Franco, E. A. P. |e author |
| 700 | 1 | 0 | |a de Alencar Nääs, I. |e author |
| 245 | 0 | 0 | |a Development of a performance model for classifying broiler farms |
| 260 | |b Diponegoro University, |c 2022-03-01. | ||
| 500 | |a https://ejournal.undip.ac.id/index.php/jitaa/article/view/38664 | ||
| 520 | |a Broiler meat is the second world's most consumed meat, and the increase in consumption by 2027 is forecasted to be near 35 kg/capita/year. Brazil ranks third in broiler production globally and is the world's largest exporter of chicken meat. To reach proper rearing conditions, broiler farms need to meet good practices of husbandry and welfare. The present study aimed to develop a performance classification model using data mining to evaluate broiler farmers based on detailed flock housing and performance information. The input dataset from 49 broiler farms from a cooperative in Northeastern Brazil was organized with details on the housing characteristics, rearing environment, management, and performance data from flocks. We also added the cooperative technical classification retrieved from the housing conditions and the production index. The input classification had weights attributed to each housing feature. The output variable (target) was defined as the performance classification (PC) index. The dataset was processed using Rapidminer® software using 80% of training and 20% for implementing the random forest algorithm. The prominent variables in classifying the performance were the feed conversion, the daily weight gain, the productivity index, and the cooperative classification criteria. The developed model pointed out a way to auto-classify farms and allow the cooperative to evaluate the farmers' production based on the broiler production and management practices. It was possible to create 'If-Then' rules that enable appropriate decisionmaking by broiler farmers to comply with good practices' norms. | ||
| 540 | |a Copyright (c) 2022 Journal of the Indonesian Tropical Animal Agriculture | ||
| 546 | |a eng | ||
| 690 | |a Data mining; Prediction of good practices; Broiler production; Broiler meat | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |a Peer-reviewed Article |2 local | |
| 786 | 0 | |n Journal of the Indonesian Tropical Animal Agriculture; Vol 47, No 1 (2022): March; 65-75 | |
| 786 | 0 | |n 2460-6278 | |
| 786 | 0 | |n 2087-8273 | |
| 787 | 0 | |n https://ejournal.undip.ac.id/index.php/jitaa/article/view/38664/pdf | |
| 787 | 0 | |n https://ejournal.undip.ac.id/index.php/jitaa/article/downloadSuppFile/38664/8412 | |
| 787 | 0 | |n https://ejournal.undip.ac.id/index.php/jitaa/article/downloadSuppFile/38664/8413 | |
| 787 | 0 | |n https://ejournal.undip.ac.id/index.php/jitaa/article/downloadSuppFile/38664/8414 | |
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