Classification Model Using CNN and LSTM for Cow Pregnancy

By using various deep learning methods a vast array of applications can be fulfilled. Usually these applications include a whole lot of spectrums for classification and analyzing on the basis of images. This approach has been used here for the early detection of pregnancy in cows. Usually a farmer gets to know that a cow is pregnant only when a calf is bourn. By early detection, a farmer can nurture his pregnant cows and shorten the breeding cycle. The proposed system here helps to identify and differentiate between pregnant and non preganant cows by using Convolution Neural Network (CNN) and Long-short Term Memory (LSTM) model. This hybrid CNN-LSTM model produced an accuracy of around 83% generating the satisfactory results.