Weed Recognition in Brinjal Crop using Deep Learning

Deep learning is a rapidly expanding study subject nowadays. Recognizing objects is one of its many different uses. The convergence of technology leads to the goal of this thesis. Due to the uneven spacing of the plants, weed recognition in vegetable plantations is more problematic than weed recognition in crops. There hasn’t been much research done on weed identification in vegetable plantations thus far. In spite of the wide variety of plant species, conventional techniques of agricultural weed recognition used to be primarily concentrated on recognizing weeds straight. To remove the weeds from the backdrop and recognize the unwanted plant or crops from an image, an image segmentation approach known as the semantic segmentation was applied. By the context of technology, the study delivers a typical weeds identification method in a vegetable crop and opens the door to recommendations on which composite you should be using to control the weed in a vegetable crop.