Intelligent feeding system and method for livestock

Abstract

The invention discloses an intelligent feeding system and method for livestock. The system comprises a storage module, a camera, an identification module, an electronic feeder and a controller. The storage module is used for storing a feeding rule of livestock; the camera is installed above a trough and collects a face image of the livestock which are closest to the trough when a shooting instruction is received; the identification module is used for determining an identifier of the livestock according to the face image; the electronic feeder is installed on the trough and adds feed to the trough according to a received discharging instruction; the controller is used for sending the shooting instruction to the camera according to the feeding rule of the storage module, receiving the face image and a feed image from the camera, transmitting the face image and the feed image to the identification module, receiving the identifier of the livestock and the feed surplus amount of the troughfrom the identification module and sending the discharging instruction to the electronic feeder according to the identifier of the livestock in combination with the feeding rule. According to the intelligent feeding system, all the livestock are distinguished through a face identification technology of artificial intelligence, the livestock individuals are remotely and precisely fed and controlled, and the feeding rule is conveniently made and adjusted.

Description

technical field [0001] The invention relates to the field of livestock feeding, in particular to an intelligent feeding system and method for livestock. Background technique [0002] As a traditional agricultural and animal husbandry country, the pig breeding industry has always occupied a dominant position in my country. [0003] At present, the feeding of pigs in my country still follows a relatively traditional method, mostly based on the experience summed up in production. Especially for sows, in different growth cycles of pigs, formulate different feeding methods, including feed type, feeding amount, and feeding time, in order to adapt to the growth law of pigs to the greatest extent and meet the nutritional needs of pigs, such as : [0004] (1) Identify the sows by ear tagging the sows. According to the production cycle, the sows are divided into different batches for management, and the sows of the same batch are fed uniformly according to the same feeding rules, s...

AI Technical Summary

Problems solved by technology

The traditional feeding method inevitably requires a lot of manual setting of the feeding amount of each pen, which virtually increases the risk of infection

[0010] (3) Batch management of sow production can save the cost of breeding and increase production capacity, but it is far from reaching refined breeding

In addition, if there are many pigs in one pen, such as large pens and nursery pens, there will be situations of grabbing food. Some pigs are overfed, resulting in a decrease in feed conversion rate, and some pigs cannot grab food, resulting in malnutrition. affect production

[0011] (4) The current pig feeding method can only be "based on feeling" and "experience", and lacks accurate data support, such as how much feed each pig should eat and how much feed it actually eats. Traditional breeding is not capable of daily feeding. In production, collect data like this

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