Abstract
Image processing techniques are widely used for the detection and classification of diseases for various plants. The structure of the plant and appearance of the disease on the plant pose a challenge for image processing. This research implements SVM (Support Vector Machine) based image-processing approach to analyze and classify three of the rice crop diseases. The process consists of two phases, i.e. training phase and disease prediction phase. The approach identifies disease on the leaf using trained classifier. The proposed research work optimizes SVM parameters (gamma, nu) for maximum efficiency. The results show that the proposed approach achieved 94.16% accuracy with 5.83% misclassification rate, 91.6% recall rate and 90.9% precision. These findings were compared with image processing techniques discussed in review of literature. The results of comparison conclude that the proposed methodology yields high accuracy percentage as compared to the other techniques. The results obtained can help the development of an effective software solution by incorporating image processing and collaboration features. This may facilitate the farmers and other bodies in effective decision making to efficiently protect the rice crops from substantial damage. While considering the findings of this research, the presented technique may be considered as a potential solution for adding image processing techniques to KM (Knowledge Management) systems.
Highlights
Image processing techniques are widely used for the detection and classification of diseases for various plants
Rice crops in Pakistan are effected by a number of diseases
Image processing techniques based on color segmentation were used to detect pomegranate leaf diseases
Summary
Pagriculture being the largest sector in its economy. According to Pakistan Bureau of Statistics, agriculture adds approximately 24% to GDP (Gross Domestic Product) [1,2]. Pakistan is the fourth largest rice crop producer [3,4]. Rice (Oryzae Sativa) is considered as a main crop in this region, efforts are being carried out at government and private sector level to increase production and hazard prevention [5]. Due to lack of formal education and training, farmers struggle to prevent and cure crops from diseases such as brown spot, bacterial leaf blast, false smut, and stem rot [6]. National College of Business Administration & Economics, Bahawalpur, Pakistan. Production is substantially affected by diseases at any stage of plant growth [5]. Government departments guide cures and precautionary measures but still there is a room for improvement because farmers have to wait for the extension agents’ visit [9]
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have