Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

54 results about "Animal data" patented technology

Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules

The disclosure relates to the use of one or more association rule mining algorithms to mine data sets containing features created from at least one plant or animal-based molecular genetic marker, find association rules and utilize features created from these association rules for classification or prediction.
Owner:DOW AGROSCIENCES LLC

Tag for livestock

An identification tag is provided including a piercing element which captures a tissue sample of the animal during tagging. The tissue sample may be used to positively identify the animal for purposes of animal health tests, and the tissue sample may be further used to positively identify the animal tagged at all stages of the animal's life, as well as after the animal dies, by comparing the tissue sample with previously recorded DNA or other animal data. Visual indicia may also be incorporated on the tag, as well as electronic identification by use of a transponder.
Owner:RITCHEY MFG

Animal body temperature monitoring system and machine learning based body temperature state recognition method

The invention discloses an animal body temperature monitoring system and a machine learning based body temperature state recognition method. The monitoring system includes an acquisition device and an intelligent terminal application; the acquisition device can acquire a contact pressure, the body temperature, and the acceleration information of an animal to be monitored, and can determine if there is an effective contact or not according to the contact pressure; and the intelligent terminal application receives effective animal data of the acquisition device, and recognizes the effective animal data as an animal body temperature state. The recognition method can learn and acquire the normal body temperature of the animal to be monitored in different motion states, and can recognize the body temperature state of the animal on the basis of learned information. The monitoring system can achieve automatic detection and remote real-time monitoring of the animal body temperature without manual detection or records, and can save lots of manpower. The recognition method can eliminate differences in species, ages, individuals and motion states of the animals, is really customized for each object to be monitored, and can achieve accurate and effective body temperature monitoring.
Owner:南京国雅信息科技有限公司

Animal heart rate monitoring system and neural network based heart rate state recognition method

The invention discloses an animal heart rate monitoring system and a neural network based heart rate state recognition method. The monitoring system includes an acquisition device and an intelligent terminal application; the acquisition device can acquire a contact pressure, the heart rate, and the acceleration information of an animal to be monitored, and can determine if there is an effective contact or not according to the contact pressure; and the intelligent terminal application receives effective animal data of the acquisition device, and recognizes the effective animal data as an animal heart rate state. The recognition method is based on a neural network, can perform training and learning based on a sample set, and can recognize the animal heat rate state on the basis of the trained model. The monitoring system can achieve automatic detection and remote real-time monitoring of the animal heart rate without manual detection or records, and can save lots of manpower. The recognition method can eliminate differences in species, ages, individuals and motion states of the animals, is really customized for each object to be monitored, and can achieve accurate and effective body temperature monitoring.
Owner:南京国雅信息科技有限公司

Animal snarling monitoring system and snarling state recognition method based on machine learning

The invention discloses an animal snarling monitoring system and a snarling state recognition method based on machine learning. The animal snarling monitoring system comprises an acquisition device and an intelligent terminal application, and the acquisition device acquires contact pressure, vocal cord state and snarling information of monitored animals and judges whether effective contact occursor not according to the magnitude of the contact pressure; the intelligent terminal application receives effective animal data of the acquisition device and recognizes the effective animal data into the animal snarling state. By means of the recognition method, the normal snarling state of monitored animals in different motion states can be obtained through learning, and based on the learnt information, the snarling state of the animals can be recognized. By means of the system, animal snarling can be automatically detected and remotely monitored in real time, manual detection or recording isnot needed, and a lot of manpower can be saved; by means of the method, the difference like the type, the age, the individual and the motion state of the animals can be eliminated, all monitored objects are truly customized, and the purpose of precisely and effectively detecting snarling is achieved.
Owner:南京国雅信息科技有限公司

Animal activity monitoring system and activity state recognition method based on neural network

The invention discloses an animal activity monitoring system and an activity state recognition method based on a neural network. The animal activity monitoring system comprises an acquisition device and an intelligent terminal application, and the acquisition device acquires contact pressure, activity range and acceleration information of monitored animals and judges whether effective contact occurs or not according to the magnitude of the contact pressure; the intelligent terminal application receives effective animal data of the acquisition device and recognizes the effective animal data into the animal activity state. By means of the recognition method, based on a neural network model, a sample set can be trained and learned, and based on the trained model, the activity state of the animals can be recognized. By means of the system, animal activities can be automatically detected and remotely monitored in real time, manual detection or recording is not needed, and a lot of manpowercan be saved; by means of the method, the difference like the type, the age, the individual and the motion state of the animals can be eliminated, all monitored objects are truly customized, and the purpose of precisely and effectively detecting the activity range is achieved.
Owner:南京国雅信息科技有限公司

Animal shape phenotype automatic measuring method

Disclosed is an animal shape phenotype automatic measuring method. An animal shape phenotype is automatically measured through template deformation. The method comprises the following steps: establishing a database, i.e., establishing a template model database storing three-dimensional stereo templates of different animals in different growth periods, and a shape phenotype measuring definition database storing shape phenotype index measuring definitions measuring different animal shape phenotype indexes; coupling, i.e., according to the three-dimensional stereo templates in the template model database, comparing input animal data models, obtaining three-dimensional stereo templates which are closest to the types of the currently input animal data models and the growth periods as the coupling templates of the currently input animal data templates; deformation, i.e., according to the input animal data models, deforming the coupling templates until the coupling templates are close to the currently input animal data models in terms of body size; and calculating, i.e., according to the shape phenotype measuring definitions in the shape phenotype measuring definition database and the deformed coupling templates, obtaining the shape phenotype indexes of the input animal data models. The animal shape phenotype automatic measuring method improves the automation degree of animal shape phenotype measurement.
Owner:CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products