Banana leaf disease detction using OpenCV-Deeplearning projects
Identification of the leaf diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the banana leaf diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on leaf is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertize in the leaf diseases, and also require the excessive processing time. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. This paper discussed the methods used for the detection of plant diseases using their leaves images.
This paper also discussed some segmentation and feature extraction algorithm used in the banana leaf disease detection.