Volume 7 Issue 3 - September 2016

  • 1. Design for the methodology of plant leaf disease detection using image processing

    Authors : Prabhjeet Kaur, Sanjay Singla

    Pages : 148-152

    DOI : http://dx.doi.org/10.21172/1.73.520

    Keywords : Plant Leaf Diseases DetectionParticle Swarm Optimization Image Processing Support Vector Machine

    Abstract :

    Abstract— Indian Economy is highly dependent on productivity of agricultural crops/plants. So, there is the need to provide extreme attention to take care of plants/crops. Diseases are the natural factor that can cause some serious effects on plants which ultimately reduces productivity, quality and quantity of products. Manual detection of plant diseases just increases the human efforts as it is not easy to check each individual plant. Also the manual detection is not appropriate method. In this paper, we have presented the design of an autonomous approach for the detection of plant leaf diseases. The proposed method covers the steps of image processing technique. These image processing steps are image acquisition in RGB color value, image preprocessing using histogram equalization, image segmentation using k-means clustering, feature extraction with texture statistics, image classification using Support Vector Machine and final optimization using Particle Swarm Optimization method. So, overall design for plant leaf disease detection is presented here.

    Citing this Journal Article :

    Prabhjeet Kaur, Sanjay Singla, "Design for the methodology of plant leaf disease detection using image processing", https://www.ijltet.org/journal_details.php?id=907&j_id=3332, Volume 7 Issue 3 - September 2016, 148-152, #ijltetorg