Abstract

Early detection of the plant diseases is critical to avoid losses in the yield and quality of the agricultural product. The studies of the plant diseases have been widely researched to detect abnormality in plant growth using visually observable patterns on the plant. Plant monitoring and disease detection is needed to ensure sustainability in agriculture. However, it is usually very difficult to monitor the plant diseases manually as they require real-time and precision detection. Image processing is commonly used for the detection of plant diseases which involved image acquisition, pre-processing, segmentation, feature extraction and classification. In this paper, an Artificial Intelligence based image processing algorithm is proposed to detect diseases on a Chilli plant using its leaves images. The proposed system included ResNet CNN for feature extraction and classification.

Description