A method for estrus detection includes storing location information associated with a dairy livestock. This information includes coordinate locations of the dairy livestock within a free stall pen at each of a plurality of times during a time period including a first time and a second time. The coordinate locations comprise at least a first (X, Y, Z) location of the dairy livestock at the first time and a second (X, Y, Z) location of the dairy livestock at the second time. The method further includes determining, based on at least the first and second (X, Y, Z) locations, a turn index parameter indicating a number of times the dairy livestock reverses directions during the time period. The method further includes determining whether the dairy livestock is likely to be in estrus based at least in part upon whether the determined turn index parameter is in excess of a baseline turn index parameter by more than a first predefined amount.

The present application relates to the reproductive management of cattle, and more particularly, to the synchronization of estrous cycles and ovulation for fixed time artificial insemination of cattle with the addition of a second prostaglandin treatment in Ovsynch-type protocols resulting in the complete regression of the corpus luteum and an increase in pregnancies per artificial insemination in multiparous cows.

A system includes a temperature sensor and circuitry to collect information from the temperature sensor and transmit the information to a server. The temperature sensor and circuitry are formed as an integrated node adapted to be placed on an exposed skin area of a tail, or on a hoof wall of an animal. The server processes the information and may transmit the information to one or more remote devices. A strain gage may also be included in the node to attach to the hoof wall.

The present apparatus and method provides for real-time automated, non-invasive infrared thermography information of an animal to be used for both thermal and behavioral measurement, thereby providing an earlier and more accurate predictor of onset of disease, growth states, or reproductive states in that animal. More specifically, the present system and method provide for the use of thermal images (taken, for example, at a water station) to obtain both temperature and behavioral information about one or more animals at a time, and to utilize that information to determine the health, growth, or reproductive state of the animal. The combination of thermal biometric data, such as radio frequency identification infrared thermography, and behavioral biometric information, such as behavioral fidgets can be used to detect early-onset of these biological steady and non-steady states in animals.

Disclosed are a system, device and process for monitoring physical and physiological features of livestock through a unique monitoring system and device. Basic and Smart tags are placed on livestock to monitor, among other things, temperature, movement, location, posture, pulse rate, and other physical and physiological features. Information is relayed from Basic tags, in one embodiment, to Smart tags that requests the information and receives the information from the basic tags. Smart tags send information to a mobile unit controller and/or home base so that requested information is sent to an end user that monitors the livestock for signs of illness. Potentially ill animals are segregated from the herd for further evaluation and minimization of exposure risk to the rest of the herd. This early detection system saves livestock and ensures a healthier herd for livestock farmers.

A bovine estrus detection device includes a generally rectangular base having sides and ends, the base having a predetermined length and a predetermined width, and the width being less than the length, the base having a first side and a second side. The first side of the base has a central region having a first color and end regions having a second color. The second color is different from the first color. An adhesive is disposed on the second side of the base for coupling the base to a female cow or heifer. A removable coating is disposed over the first side of the base. The removable coating is exposed for contact by male or female cows mounting the female cow or heifer to which the device is attached. The coating is adapted to being removed by mounting male or female cows, whereby the first and second colors become visible. Exposure of the first color in the central region is an accurate predictor of activation and estrus.

The present disclosure relates to the field of livestock farming, and specifically provides a feeding method for gilts in batch for promoting onset of puberty and alleviating estrus disorder of gilts, which is aiming at an industrial problem that a large number of gilts are culled due to delayed puberty onset or estrus disorder. The method includes: feeding, prior to onset of puberty for gilts with vitamin A combined with lactic acid; and performing, subsequent to the puberty onset of gilts, estrus synchronization treatment and insemination treatment on the gilts. By applying vitamin A combined with lactic acid, the present disclosure alleviates the delayed puberty onset or estrus disorder of the gilts, reduces the feeding duration and feeding cost of the gilts, facilitates synchronous estrus treatment of the gilts.

Accurate estrus detection of sows is critical to achieving a high farrowing rate and maintaining good reproductive performance. However, the conventional method of estrus detection uses a back pressure test by farmers, which is time-consuming and labor-intensive with a significant degree of error. This disclosure is of an automated estrus detection method by monitoring the change in vulva swelling around the estrus using a three-dimensional measurement device, e.g., LiDAR camera, which includes an RGB camera and a depth camera. This sow estrus detection improves accuracy and efficiency, reduces labor and cost, and improves the sustainability of swine production using a data-driven decision-making system based on a robotic cyber-physical system (CPS) that can utilize deep learning detection based on a deep learning model.