Deep and machine learning modelling based on remote sensing for Livestock identification and welfare assessment

Development and application of computer vision techniques coupled with machine and deep learning for identification and assessment of welfare of livestock such as cattle, sheep and pigs as well as prediction of produce quality traits and yield. This also includes deployment of artificial intelligence models using Jetson technology.