According to some embodiments of the present disclosure, a method for calculating a backfat thickness of a sow by a processor of a device is disclosed. The method may comprise: recognizing a dorsal angle measurement region using frame data; recognizing a plurality of three-dimensional coordinate values related to at least three points within the dorsal angle measurement region; and calculating a dorsal angle value of the sow for calculating the backfat thickness of the sow using the plurality of three-dimensional coordinate values.

An evaluating method includes an evaluating step of performing a first evaluation of evaluating a state of a metabolic disease in a cow after present parturition, using a first value in the cow before present parturition, a value of a formula calculated using the first value and the formula including an explanatory variable to be substituted with the first value, or a graph generated based on the first value, the first value being a value on cattle management information obtainable by a non-invasive method.

A method for predicting pet health conditions includes receiving activity data generated by at least one sensor device configured to detect activity of a pet, determining behavior data indicative of a plurality of behaviors of the pet based on the activity data, receiving a trained neural architecture for a representation model configured to facilitate health condition predictions and another neural architecture for a classification model configured to predict a health condition of the pet based at least in part on the behavior data, predicting, using the trained neural architecture, presence of the health condition of the pet, and causing a user device to display a notification including information identifying the health condition.

A system and method for calculating an estimate of a body condition score (BCS) for a bovine animal is described. The system comprises a visual spectrum camera configured to collect visual spectrum data of the animal in an area of interest, an infra-red camera configured to collect near infra-red spectrum data of the animal related to soft tissue distribution around the area of interest, and one or more neural networks trained using a first training dataset comprising combined imaging data for each of a plurality of animals and corresponding BCS's for the plurality of animals, in which the combined imaging data for each animal comprises the visual spectrum data and the near infra-red spectrum data for the animal. The system also includes a processor configured to: receive the combined imaging data for the animal and apply the one or more neural networks to the combined imaging data for the animal to calculate an estimate of a BCS for the animal.

A biometric scanning system for livestock according to one or more embodiments of the present disclosure may include: a cage member configured to accommodate livestock; a rail member disposed above the cage member; a moving member disposed at the rail member and configured to move along a longitudinal direction D1 of the rail member; a scanner connected to the moving member and configured to measure biometric information of the livestock; and a driving unit configured to move the moving member and a cable connected to the scanner along the longitudinal direction D1.

Disclosed is a pet care device. The pet care device may include a base, a pad disposed above the base, a pogo pin module including a first printed circuit board (PCB) and a pogo pin, and a connection terminal module mounted to the pad and including a second PCB and a connection terminal electrically connected to the pogo pin. The pogo pin module is movably disposed between the base and the pad in an upward and downward direction, and a magnet may be mounted to at least one of the pogo pin module and the connection terminal module. When the pad is disposed above the base, the pogo pin module may be moved upward by a magnetic force of the magnet and may come into electrical connection with the connection terminal module.

A feedback device includes an acquisition unit configured to acquire a BCS evaluation value obtained by evaluating a BCS value representing a body condition score of livestock with a reference value for evaluating the BCS value and a feedback unit configured to output feedback information concerning the livestock based on the acquired BCS evaluation value.