Fruits & vegetables provide an essential role as a food in our everyday life. It provides nutrients vital for our health and maintenance of our body. Those who devour greater Fruits & greens as part of a wholesome food plan are probable to have decreased danger of a few persistent illnesses. This paper describes One of the primary tasks of completing and developing many computer vision applications is to identify a method of figuring out crop image. We are using Mask Region-Based convolutional Neural Network is an Artificial Intelligence algorithm based on multi-layer neural networks that learn relevant features from images, being capable of performing several tasks like image classification, object detection, and segmentation. Our model efficiently detects objects or image data by generating high-quality segmentation masks for each instance. This can develop an automatic fruit and vegetable classification system with a data set of information about each fruit and vegetable with the help of artificial intelligence (AI). After successful training, the Mask RCNN model can predict the name of the fruit and vegetable.

Deep learning; Mask R-CNN; FPN; Detection and Segmentation; fruits and vegetables.