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Prediction Cows Estrus Images Using Convolutional Neural Network with Optimized Parameters by the Artificial Immune System Algorithm

  • Watchara Ninphet,
  • Nopadol Amm-Dee,
  • Adisak Sangsongfa

摘要

The factor that affects the milk production of dairy cows is the breeding of cows. Before the cows can be bred, the cows must show signs of estrus first. Farmers must detect estrus in time because the period of estrus is It did not take long, so this research has developed the prediction of estrus in dairy cows using artificial intelligence methods, that is, using convolutional neural networks to help in the prediction. This research has a Comparison between the convolutional neural networks before adjusting the parameters, which achieved an accuracy of 95.082% and when using the Artificial Immunity System algorithm to adjust the parameters, the accuracy was 98.361%. The prediction used 4 types of dairy cow movements for prediction.