Disease and Quality Control In Seasonal Food Crops

Artificial Intelligence in todays world has so many use cases in so many fields that people think tat AI will replace humans and take over their jobs. The advancement made in the sectors like content creation, image detections and generation are revolutionized by AI. In this paper we are going to address quality control and disease management in seasonal food crops such as apples, potatoes, oranges etc. This will not only prevent any disease outbreak in fields and plantations but also will highly improve the life of farmers with poor knowledge diseases spread. We have presented a model that uses pre-trained models like VGG19, Resnet for extraction of the special and relevant features from the used dataset. Then we used multiple classifiers and results were perceived and the model performs exceptionally well in detection of symptoms major diseases in plants and grade the products based on standards set by the admin.