7 results about "Feeding types" patented technology

The invention provides a cattle and sheep feed trough residual feed monitoring method based on vision, and relates to the technical field of intelligent livestock breeding, and the method comprises the following six steps: intelligent triggering and multi-modal image acquisition, image preprocessing and fusion, time sequence image segmentation and feature extraction, density adaptive volume calculation, online learning and residual feed estimation, and decision analysis and early warning. According to the method, RGB and near-infrared images are synchronously collected through infrared triggering, after perspective correction and illumination adaptive fusion, an LSTM-U-Net time sequence segmentation model is adopted to solve the dynamic shielding problem, a residual feed area is accurately extracted, the feed type is recognized, density adaptive volume measurement is achieved in combination with monocular depth estimation and texture feature analysis, and the method is suitable for large-scale industrial production. Weight estimation is carried out through a support vector regression model, model parameters are optimized on line based on manual correction data, intelligent early warning of the residual material amount is finally achieved through a cloud platform, and the limitation of a traditional method in the aspects of shielding processing, density adaptation and environment anti-interference is effectively overcome.

The invention discloses an animal lactation period determination method based on milk component content, and belongs to the technical field of milk quality detection and livestock breeding. Comprising the following steps: screening emulsion components which can be used as biomarkers in different lactation periods by utilizing an omics technology, carrying out quantitative analysis, and constructing a judgment model, so as to accurately judge the lactation periods of animals. The method comprises the specific steps of sample collection and grouping, biomarker screening and quantitative detection, model construction, to-be-detected sample detection and lactation period judgment. The animal lactation period determination method based on the animal milk component content is not interfered by factors such as a breeding mode and a feed type, is simple in process and high in universality, can provide technical support for raw milk grading of a dairy product enterprise, quality control in a dairy product processing process and accurate feeding of a farmer, and has a wide application prospect. The dairy product quality stability and culture benefits are effectively improved.

The invention discloses an intelligent precise feeding method and system based on a pig farm unit, corollary equipment and a monitoring and business use terminal, and belongs to the field of intelligent precise animal feeding. According to key factors such as weight, environment and health of pigs in each pig house unit every day, different nutritional requirements of each pig house unit are precisely calculated, and the feeding efficiency is improved. A feed formula and a feeding execution strategy matched with the nutrition requirement amount are dynamically generated according to the actual conditions such as the feed type, the pig house distribution distance, the feeding time and the number of times in the production of the user, and finally the system monitors the feeding strategy executed by the mixing equipment and indexes such as excess feed of each unit in real time; therefore, closed-loop response is made to the whole-process closed-loop management of pig feeding from nutrient requirement amount calculation, feeding strategy making and execution result monitoring, and precise and fine feeding with daily dynamic response and difference adaptation is achieved. Finally, the adaptation degree of the feeding amount and the required amount of the individual growth nutrition of the pigs can be greatly improved, and the feeding cost is saved.

This invention discloses an automatic feeding device and method for feed production and processing, relating to the field of automatic feeding technology. It includes a base frame, a hopper mounted on top of the base frame, a dispersing component at the top of the hopper, a vacuum pump at the upper end of the dispersing component, a mounting frame fixed inside the hopper, a screening component at the upper end of the mounting frame, and an adjusting component at the right end of the screening component. The dispersing component is located above the screening component. This invention achieves preliminary filtration of materials through the dispersing component, improves feed processing quality and automatic feeding efficiency through the screening component, and flexibly matches the dispersing intensity and screening accuracy according to different feed types and raw material particle sizes through the adjusting component.

The invention belongs to the technical field of intelligent feeding in animal husbandry, and provides a pig farm feeding management method and system. The method comprises the following steps: dividing a large group of pigs into a plurality of small groups for breeding in different circles; automatically collecting weight data of individual pigs in each colony house, and associating the weight data with individual pig information to form a plurality of sub-data elements; according to the sub-data elements and the ring dividing information, comprehensive information of the pigs in each ring is obtained through analysis; according to the comprehensive information, matching feed types and feed dosage for the pigs in each circle; and preparing the required feed according to the matched feed type and feed dosage, and feeding in different circles. The management system adapts to the method. According to the method and system, feed selection and feeding can be carried out in time according to the number and weight information of the pigs in all the breeding houses, precise feeding with the feed formula and the feed adding amount matched with the actual growth stage of the pigs is achieved, uniform growth of the pigs can be better promoted, feed waste is avoided, cost is reduced, and the breeding efficiency is improved. Meanwhile, the pressure caused by feed waste to environmental pollution is reduced.

The present application relates to the field of intelligent management of aquaculture, and discloses a feed regulation method and system based on the growth state of fry, which comprises the following steps: acquiring growth and activity state parameters; establishing a multi-dimensional data information graph; generating an initial feeding scheme; outputting an optimal feeding scheme; performing closed-loop iterative feeding scheme; and performing monitoring system calibration and maintenance; the system comprises a parameter acquisition module, a data processing module, a feeding scheme generation module, a feeding scheme execution optimization module, and a data feedback dynamic optimization module; the present application realizes accurate matching of feed types, feeding amounts, and feeding times, and achieves the purposes of saving feed costs, promoting uniform growth of fry, and reducing the risk of aquaculture.

Systems, methods, and computer-readable storage media for estimating milk production. The system can receive a feed type for a feed provided to a milk producing animal, and identify a digestible rumen undegradable protein (dRUP) fraction of the feed type. The system then estimates a milk protein yield of the feed type using the dRUP fraction and at least one milk protein yield coefficient, each milk protein yield coefficient identifying how an amino acid effects the milk protein yield. The system then indexes the feed type to a known feed type based on the milk protein yield, resulting in an index value for the feed type, and generates a diet plan using the index value, the diet plan identifying an amount of the feed type for the milk producing animal to consume.