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12 lis 2022 · Smart Sheep Breeder—an artificial intelligence-driven fully functional, multi-use DSS for performance recording, farm data management, breeding, ranking of animals on genetic merit, and...
1 maj 2024 · Furthermore, we applied the best-performing CNN-LSTM model for behavior classification to the sheep identified as MS-7 and FS-13. After the devices were attached, MS-7 and FS-13 were reintroduced into the flock for extensive grazing on September 17 and 20, respectively.
7 lip 2022 · In order to achieve robust and high-performing classification models, more balanced data for each behavior from more sheep need to be collected to train and validate the behavior classification models [8,18].
22 lip 2021 · Our modeling approach was to characterize the drivers of variation in the population dynamics of bighorn sheep using the time series of management count and classification data.
18 sie 2016 · A study was carried out on six lowland farms in Northern Ireland over 2 years to examine the effect on labour input and lamb output of adopting an outdoor (grass-based) lambing system in comparison to an indoor lambing system.
After selecting the model, lambs whose weights at different ages fell within, below, or above ±20% of the values predicted by the model were classified as medium, low, or high performance, respectively.
1 gru 2021 · A decision-making model to manage sheep farms in dehesa areas was assessed. •. The model was applied to different farms typologies in different weather scenarios. •. Models may contribute to the design of sustainable management strategies in extensive sheep-for-meat farms. •.
