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Exploration of the Efficient Application of Electronic Ear Tag Reader in Breeding Pig Feeders


The application of electronic feeders in the pig farming industry is already a common automated pig farming equipment. Whether it is a newly-built pig farm or the renovation of an old one, electronic feeders have brought great reforms to pig farms. While realizing automatic feeding in pig farms, management is also more convenient, reducing personnel's contact with pigs and lowering the probability of external infection and disease occurrence. The breeding pig feeder is a type of electronic feeder. By combining with RFID technology, it can achieve precise feeding, control the weight of breeding pigs, and adjust the body shape of breeding pigs.


Concept of RFID Breeding Pig Feeding Station
The core technology of the RFID breeding pig feeding station is RFID technology. Each pig is equipped with an electronic ear tag. An electronic ear tag reader is installed next to the breeding pig feeding station. Through the electronic ear tag reader, various data information of the breeding pigs coming to eat is obtained and transmitted to the feeding system. And the feeding plan for breeding pigs is accurately implemented through the corresponding management software, so that breeding pigs can achieve individualized and precise feeding while being raised in large groups, maintaining good body condition and production performance of breeding pigs.


Advantages brought by RFID technology in breeding pig feeding stations


  1. Realize individual fine feeding of breeding pigs and reduce waste of feed.

  2. Automatically dispense the amount of feed according to the identity information of breeding pigs to meet the needs of different breeding pigs.

  3. Through RFID technology, pigs with insufficient feed intake can be viewed in the background, helping pig farms detect sick pigs early and reducing the threat of diseases to pig houses.

  4. RFID technology automatically collects the feeding data of breeding pigs, laying a foundation for realizing big data management in pig farms.


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