Maize grading system using Deep learning and flask application

Agriculture being an integral part of our country can be enhanced with the advent of deep learning. This paper elucidates about 5 deep learning image classification techniques to classify the maize crop images which are again sub-divided by 4 categories namely excellent, good, average, and worst. All the algorithms were compared with each other and among the categories of maize which gave compelling results. However, ResNet-50 outperformed as the best one. Later, the model ResNet-50 was deployed by building a flask application named “Vyavasahaya” means “agricultural help” in Hindi language.