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- 01HQMS4X2NP7TQZGFFE7YP7V7P classification C3.
- 01HQMS4X2NP7TQZGFFE7YP7V7P date "2023".
- 01HQMS4X2NP7TQZGFFE7YP7V7P language "eng".
- 01HQMS4X2NP7TQZGFFE7YP7V7P type conference.
- 01HQMS4X2NP7TQZGFFE7YP7V7P hasPart 01HQMS5YJ47YRZTB0QQGM1B0SF.pdf.
- 01HQMS4X2NP7TQZGFFE7YP7V7P subject "Veterinary Sciences".
- 01HQMS4X2NP7TQZGFFE7YP7V7P issn "1040-452X".
- 01HQMS4X2NP7TQZGFFE7YP7V7P issn "1098-2795".
- 01HQMS4X2NP7TQZGFFE7YP7V7P issue "7".
- 01HQMS4X2NP7TQZGFFE7YP7V7P presentedAt urn:uuid:16e7b7ec-a5ba-499c-9627-d438f8b9b14c.
- 01HQMS4X2NP7TQZGFFE7YP7V7P volume "90".
- 01HQMS4X2NP7TQZGFFE7YP7V7P abstract "Good estrus detection in sows is essential to predict the best moment of insemination. Nowadays, a technological innovation, based on artificial intelligence (AI), is available that detects the estrus of the sow via connected sensors and cameras. This study investigated whether such an AI system could improve the timing of insemination and reproductive performance. Three Belgian sow farms (A–C) where the AI system was installed participated in the study. The reproductive cycles (n = 6717) of 1.5 years before and after implementation of the system were included. Parameters included: (1) farrowing rate (FR), (2) repeat‐breeders (RB), (3) farrowing rate after first insemination (FRFI), and (4) number of total born piglets per litter (NTBP). Also, data (2261 cycles) collected by the system, in farm B and C, were analyzed to describe the weaning‐to‐estrus interval (WEI), estrus duration (ED) and the number of inseminations used per estrus. In farm A, all parameters significantly improved namely FR + 4.3%, RB –3.75%, FRFI + 6.2% and NTBP + 1.06 piglets. In farm B, the NTBP significantly decreased by 0.48 piglets. However, here the insemination dose was too low (0.8 × 109 spermatozoa per dose). In farm C, only the NTBP significantly increased by 0.45 piglets after the implementation of the system. The WEI as determined by the system varied between 78 and 90 h, being 10–20 h shorter in comparison with the WEI as determined by the farmer. The ED, determined by the system ranged from 48 to 60 h, and was less variable as compared to the ED as assessed by the farmer. The mean number of inseminations per estrus remained similar over time in farm B whereas it decreased from 1.6 to 1.2 in farm C. The AI system can help farmers to improve the reproductive performance, assess estrus characteristics and reduce the number of inseminations per estrus, although results may vary between farms.".
- 01HQMS4X2NP7TQZGFFE7YP7V7P author F54EFAAE-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HQMS4X2NP7TQZGFFE7YP7V7P author FCE4BCE6-0500-11E2-9810-606D10BDE39D.
- 01HQMS4X2NP7TQZGFFE7YP7V7P author urn:uuid:5617042f-1ad4-42fd-9080-0b4bb2fe2a51.
- 01HQMS4X2NP7TQZGFFE7YP7V7P author urn:uuid:694c733c-d923-40c4-b7c5-20d047a7b4da.
- 01HQMS4X2NP7TQZGFFE7YP7V7P author urn:uuid:c91e66d9-fc9e-4bf6-a42f-fa0ec0a864d5.
- 01HQMS4X2NP7TQZGFFE7YP7V7P dateCreated "2024-02-27T07:58:25Z".
- 01HQMS4X2NP7TQZGFFE7YP7V7P dateModified "2024-12-12T20:48:09Z".
- 01HQMS4X2NP7TQZGFFE7YP7V7P name "The evaluation of an artificial intelligence system for estrus detection in sows".
- 01HQMS4X2NP7TQZGFFE7YP7V7P pagination urn:uuid:faa60568-4bf9-4716-95ff-23e4cbaecc13.
- 01HQMS4X2NP7TQZGFFE7YP7V7P sameAs LU-01HQMS4X2NP7TQZGFFE7YP7V7P.
- 01HQMS4X2NP7TQZGFFE7YP7V7P sourceOrganization urn:uuid:4d17b929-5406-44b1-a7d8-8bdb507511b1.
- 01HQMS4X2NP7TQZGFFE7YP7V7P type C3.