12 results about "Feed management" patented technology

The present application relates to the technical field of feeding management, and particularly relates to a method and system for automatically adjusting feeding amount based on fish feeding behavior, historical feeding state parameters of a target breeding pond are acquired, the historical feeding state parameters include historical environment data, historical feeding data, historical fish feeding behavior data and historical residual material rate; target feeding behavior characteristics of the target breeding pond are constructed according to the historical feeding state parameters; feeding behavior similarity between the target breeding pond and each reference breeding pond is determined based on the target feeding behavior characteristics; the reference breeding ponds with feeding behavior similarity greater than a preset threshold are marked as candidate breeding ponds; and the target feeding amount of the target breeding pond is determined based on the historical feeding amount and the feeding behavior similarity of the candidate breeding ponds. The present application can analyze the historical feeding law of the fish population and match the experience data of similar breeding scenes, so as to realize intelligent decision of the feeding amount which is accurate, self-adaptive and cross-scene.

An intelligent poultry farm monitoring system is disclosed, and comprises at least one house-end electronic device, at least one camera, at least one IMU device, at least one ToF device, at least one weighing device, and at least one user-end electronic device. By using the intelligent poultry farm monitoring system, a variety of monitoring data of the poultry farmed in a poultry house can be collected real time, at least including weight, activity, feed consumption, drinking water consumption, and operation condition of apparatus and / or devices. Moreover, by processing and / or analyzing the monitoring data, the system is able to conduct a poultry health prediction and / or a poultry growth prediction. Furthermore, the system is also able to generate, by analyzing and / or processing the monitoring data, an optimized feeding management policy for the poultry farmer.

This invention discloses a dual-model dynamically coupled method and system for green and intelligent poultry farming, belonging to the field of ecological farming technology. The method includes: predicting the change curve of environmental parameters in future periods based on environmental data, and constructing an environmental dynamic compliance model with the objective of minimizing the deviation of the change curve from a preset healthy environment range while simultaneously minimizing the weighted sum of energy consumption of the executing equipment, thereby generating an environmental control command sequence; quantitatively analyzing environmental data, sound data, and video data to calculate a disease risk index and environmental risk factors, and constructing a disease risk prediction model; inputting the disease risk index and environmental risk factors into the environmental dynamic compliance model to obtain an updated environmental control command sequence, and dynamically adjusting the feeding management plan in conjunction with the disease risk index to generate manure scheduling commands. This invention solves the defects of the separation and lagging control between environmental and disease management, achieving the goal of healthy, environmentally friendly, and efficient circular farming.

This invention provides a high-temperature breeding technique for goldfish and koi. By monitoring the water temperature and feeding status of the goldfish and koi, the method obtains the water temperature change trend and feeding status changes. Based on the current water temperature, the magnitude of the temperature change, the duration of the temperature change, and the changes in feeding status, the current stage of change is determined. A feeding management plan is generated based on the current stage and the corresponding water temperature and feeding status. Feeding and management are then implemented according to the feeding management plan. By monitoring water temperature trends and feeding status changes, and generating feeding management plans in stages, a systematic regulation of the health status of goldfish and koi during the high-temperature summer period is achieved. This avoids extensive management relying on experience-based judgment, reduces metabolic burden, stress risks, and health hazards caused by water temperature fluctuations and mismatched feeding, and improves the stability and repeatability of breeding management.

The application discloses the domestication method of Debao pony in the technical field of Debao pony, and comprises the following steps: step one, birth period; step two, young cub period: spend time to touch the body and limbs of the young cub, and carry out single-limb hoof off-the-ground training; step three, young horse period: when the Debao pony is 10 months old, install a bit and make the Debao pony adapt to the bit, carry out circle training after the bit is adapted, carry out saddle training after the circle training, and gradually step into walking training, and the whole training process should be controlled to be 30-45 min; step four, pre-riding training: after adapting to the saddle, install a weighted sandbag on the horseback, and lead the Debao pony to a training field to carry out complex walking training; step five, riding training; and step six, feeding management. The application is simple and easy to operate, corresponding domestication is carried out on the horse according to different growth stages, training in different stages is suitable for the physical quality and habits of the Debao pony in different age groups, and the situation that the horse is injured due to excessive training is reduced.

This invention relates to a method for regulating the late autumn breeding of mandarin fish, belonging to the field of artificial fish breeding in aquaculture technology. The operation of this invention is as follows: (1) Inducing spawning in spring by injecting a high dose of a single oxytocin into the mandarin fish parent stock; (2) Under the action of the high dose of the single oxytocin, partial spawning is completed, achieving an average spawning volume per female fish of 20%-30% of the theoretical spawning volume in spring; (3) After spawning until the end of June, controlled feeding management is carried out to reduce the amount of feed, so that the fish are in a nutritional state of maintenance or slow growth; (4) In July and August, nutritional enhancement cultivation is carried out, and sufficient feeding is restored for a period of time before formal spawning to promote the rapid secondary development of the gonads of the parent mandarin fish; oxytocin is injected at a conventional effective dose to induce artificial insemination of the parent mandarin fish, resulting in concentrated spawning, achieving an average spawning volume per female fish of 80%-90% of the spawning volume in autumn. This invention can achieve the dual use of mandarin fish parent stock in one year through conventional hormone injection and feed management.

The utility model provides a kind of bear panda food storage ball, including ball, and ball surface is provided with feeding mouth, and ball surface is also provided with several groups of slide, and each group of slide is one-to-one corresponding with feeding mouth, and each group of slide is slidably connected with shielding part, and shielding part is connected with slide bar, and opposite two side walls of slide are equipped with rubber strip, and cavity is left between two rubber strips, and slide bar is located in cavity, and rubber strip is contacted with slide bar;Friction lines are arranged on the side of shielding part away from ball.The rubber strip is contacted with the slide bar, so that the sliding of the shielding part is a damping sliding. On the one hand, it increases the difficulty for the bear panda to obtain food, and improves the exercise amount and cognitive stimulation effect of the bear panda. On the other hand, the friction lines on the outside of the shielding part can simulate the friction characteristics of the rough substrate in the wild environment. During the process of repeatedly moving the shielding part, the nails are naturally worn through contact friction, so as to reduce the frequency of artificial nail trimming and the cost of feeding management.

This invention relates to the field of feeding management technology, and in particular to a method and system for automatically adjusting feeding amount based on fish feeding behavior. The method involves acquiring historical feeding status parameters of a target aquaculture pond, including historical environmental data, historical feeding data, historical fish feeding behavior data, and historical feed residue rate. Based on these historical feeding status parameters, a target feeding behavior characteristic for the target aquaculture pond is constructed. The similarity of feeding behavior between the target aquaculture pond and each reference aquaculture pond is determined based on this characteristic. Reference aquaculture ponds with a feeding behavior similarity greater than a preset threshold are marked as candidate aquaculture ponds. The target feeding amount for the target aquaculture pond is determined based on the historical feeding amount and feeding behavior similarity of the candidate aquaculture ponds. This invention enables precise, adaptive, and cross-scenario intelligent decision-making regarding feeding amount by analyzing the historical feeding patterns of fish and matching empirical data from similar aquaculture scenarios.

Disclosed are a targeted capture sequencing-based 10K low-density SNP array for dairy cattle and a use thereof. Provided is a 10K low-density array for detecting genotypes of dairy cattle, comprising: single-stranded nucleotide probes for specifically detecting 11352 SNP sites and 6 INDEL sites on a dairy cattle genome (mainly comprising three types: sites related to important traits of dairy cattle, parentage testing and genetic defect sites, and sites selected from existing commercial dairy cattle genome arrays). Compared with existing high-density arrays, the provided 10K low-density genomic array has lower detection costs, and has detection performance such as SNP detection rate, polymorphism detection, individual genotype detection rate, and genetic evaluation accuracy consistent with that of the high-density arrays. The array can be applied to genomic selection and genetic defect identification of dairy cattle, and has important significance on early breeding of replacement heifers, establishment of cow nucleus herd, selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

This invention relates to a breeding method for Changfeng native chickens. It involves selecting Sanhuang chickens and Ma chickens as maternal lines, and White Locke chickens and Cobb White-feathered chickens as paternal lines, and conducting directional hybridization using artificial insemination to form the F1 generation hybrid population. Next, based on the weight and meat quality test results at 300 days of age, superior families are selected, and the target traits are gradually fixed through multiple generations of directional hybridization and backcrossing. Simultaneously, genes from high-yielding broiler breeds such as Ross 308 or Cobb 500 are introduced to enhance the breeding performance of the paternal lines. Finally, through refined feeding management and a phased feeding strategy, the breeding effect is further optimized to ensure that the newly bred Changfeng native chicken breed reaches a weight of 3.0 to 3.5 kg at 300 days of age, with a breast muscle ratio of no less than 22%, and a stable egg production of over 170 eggs. This breeding method significantly increases the weight of Changfeng native chickens, while also making the meat firmer and improving its meat quality.

The application discloses an industrial Internet of Things platform data intelligent processing and analysis system based on artificial intelligence and belongs to the technical field of platform data processing and analysis. The system implements monitoring analysis and judgment classification on feeding time, feeding food type and corresponding feeding food amount, and feeding and water feeding of pet feeding by staff based on an Internet of Things platform, integrates and calculates feeding behavior monitoring and processing data of different aspects of different staff on the same day to analyze and classify the overall feeding state of the staff on the same day, so that subsequent targeted management and training can be implemented on different staff and the overall work team, and more comprehensive and various data monitoring and data expansion and utilization effects can be implemented. The application is used for solving the technical problems that the remote pet feeding management supervision mode is single and feeding management cannot be optimized and improved in a targeted manner in the prior art.

The application discloses a pasture environment parameter and beef cattle health correlation modeling method and system, and particularly relates to the technical field of livestock feeding management decision, and is used for solving the problems of low health risk prediction accuracy and lagging management decision caused by the insufficient dynamic time sequence relationship description between environment parameters and physiological state, and the insufficient consideration of nonlinear interaction effects of multiple environmental factors; the delay effect mode of the influence of environment parameters on physiological indexes is identified through time sequence analysis, the behavior mode migration characteristics are extracted based on activity data, the nonlinear interaction effects and synergistic influence characteristics among environment parameters are quantified in combination with a response surface model, and a dynamic prediction model is constructed by fusing the above multidimensional characteristics, and finally, the health risk prediction results output by the model are used to generate pasture environment regulation and feeding management suggestions to realize accurate prediction and active intervention management of the health state of beef cattle.