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Sirvi Autor "Banhazi, A." järgi

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  • Pisipilt
    Kirje
    Development and pilot testing of the ‘Lesion-Detect’ system for automated identification and scoring of gross lung lesions in pigs during slaughter
    (Estonian University of Life Sciences, 2026) Banhazi, T.M.; Dunn, M.; Banhazi, A.; Reixach, J.; Gol, S.; Ramon-Perez, A.; Llonch, P.; Vujacic, V.; Sudar, J.; Kajari, N.; Maselyne, J.; Van Noten, N.; Tuyttens, F.
    Respiratory diseases are the most significant health and welfare challenges in pig production. Enzootic pneumonia (EP) is often subclinical at farm level, making early detection difficult, yet its economic and welfare impacts are substantial. Suboptimal housing conditions are well-established risk factors that predispose pigs to respiratory disease. These conditions negatively affect animal health and welfare and are associated with increased mortality, higher medication costs, reduced feed intake, sub-optimal average daily gain, and increased organ condemnations, representing a major constraint to sustainable pig production. At slaughter, gross lung lesions associated with respiratory disease can be assessed in all carcasses, offering a valuable opportunity for herd-level monitoring. However, current Pig Health Monitoring System (PHMS) lesion scoring methods are labour-intensive, subjective, and poorly scalable. To address these limitations, we developed and pilot-tested Lesion-Detect (LD), an automated image-analysis system for identifying and scoring gross lung lesions under commercial slaughterhouse conditions. LD prototypes were deployed in two European slaughterhouses (Spain: hanging lungs; Serbia: tray-based presentation) and benchmarked against manual PHMS scoring. The system showed strong agreement with trained human assessors, with false positive and false negative rates typically within 2–3% of lung area, comparable to inter-observer variability. By delivering objective and scalable lesion scoring, LD could enable consistent respiratory health surveillance. Beyond data collection, rapid herd-level feedback supports earlier and more targeted on-farm interventions, potentially reducing antimicrobial use and improving animal welfare. With further refinement, the system may be extended to additional carcass-level welfare indicators, strengthening its role within precision livestock farming and integrated animal welfare assessment frameworks.
  • Pisipilt
    Kirje
    Sub-clinical respiratory infection identified on farms by monitoring weight changes of pigs with the Weight-Detect instrument
    (Estonian University of Life Sciences, 2025) Banhazi, T.; Dunn, M.; Banhazi, A.; Reixach, J.; Ramon-Perez, A.; Llonch, P.; Maselyne, J.
    The essential task of growth rate monitoring of pigs is usually undertaken on farms using electronic scales, but new technologies are now available to continuously monitor the weight of pigs. One of these systems (Weight-Detect, WD, PLF Agritech, Brisbane, Australia) has been introduced on a commercial pig farm in Spain as part of the EU funded aWISH project to (1) assess the applicability of the technology and (2) use this information to assess the general welfare status of pigs. The WD unit was installed in early 2024 and manual weight recordings were undertaken periodically using an electronic scale to validate the WD system. In terms of absolute values, the manual measurements indicated that the WD system was able to predict the average pen weight of the pigs with 1.7% (2.0 kg) precision. More importantly, this case study demonstrated that the WD unit was able to detect weight reduction in pigs six days before the clinical signs of a respiratory disease infection were noticed. According to the WD measurements the study pigs achieved an average daily gain (ADG) of 882 g d-1 between the 20/03/24 and 16/04/2024. However, between the 17/4/2024 and 30/04/2024 their ADG dropped dramatically to 286 g d-1. The animals were diagnosed with respiratory disease on the 22/04/24, six days after the dramatic reduction in ADG was recorded by the WD system. This period of ADG stagnation has caused an approximate 14-day delay in reaching the desired slaughter weight, (approx. 130 kg), potentially creating significant financial losses for the producer. After the 1/05/24 pigs recovered and achieved an ADG of 645 g d-1 until their last recorded weighing day on the 20/5/24. These results highlight the WD system’s ability to alert livestock managers about impending health problems before clinical signs appear, so appropriate mitigation measures can be implemented to reduce the negative impacts on welfare and production performance.