Deep Learning based Micro Organism Recognition and Disease Prediction on Plants and Animals

While deep learning has received a great deal of interest recently, it is still not utilized to its full potential in microbiology. To overcome the limitations of Microscopy that is operated by humans, the deep-learning-based methods of image analysis of these Microorganisms have been proposed for a variety of purposes, including bacteria, viruses, parasites, and fungi. Also, Deep-learning-based systems are expected to be at the forefront of detecting and investigating microorganisms. So, here we are proposing a deep learning model that can classify and detect the type of organism using a CNN-based transfer learning algorithm. A prediction of disease spread is also possible once an organism is detected. Through modernization, we came to know that micro-organisms were useful to plants and animals but at another side of the coin they are also harmful to them, so their study is vitally important but they haven’t gone to the next phase from testing under the microscope, so we proposed this model.