Author : S.Vijayalakshmi 1
Date of Publication :21st December 2017
Abstract: The objective of this paper is to identify the diseases in the leaves of all plants. The detection of disease is one of the crucial importance to increase the productivity of plants. Plant pathology is the scientific study of plant diseases, based on this study, to identify the pathogen, and classification under different kind of circumstances. In existing, the automatic plant disease detection without the training set using only prior knowledge. The proposed method, to use detects the diseases by using the ELM (Extreme Learning Machine) techniques. In the above method, initially, the ABC Clustering has approached for segments the affected area. Secondly, using TELP (Transform Encoded Local Pattern), Gradient Features, Color Histogram Techniques for extracting the features from that affected area. Finally, these extracted features are given to the ELM classifier to get the exact type of disease affected by a leaves
Reference :
-
- P. R. Rothe and R. V. Kshirsagar,” Cotton Leaf Disease Identification using Pattern Recognition Techniques”, International Conference on Pervasive Computing (ICPC),2015.
- Aakanksha Rastogi, Ritika Arora and Shanu Sharma,” Leaf Disease Detection and Grading using Computer Vision Technology &Fuzzy Logic” 2nd International Conference on Signal Processing and Integrated Networks (SPIN)2015
- Smita Naikwadi, Niket Amoda,” Advances In Image Processing For Detection Of Plant Diseases,” International Journal of Application or Innovation in Engineering & Management (IJAIEM), Vol2, Issue 11, November 2013.
- S. S. Sannakki and V. S. Rajpurohit,”Classification of Pomegranate Diseases Based on Back Propagation Neural Network,” International Research Journal of Engineering and Technology (IRJET), Vol2 Issue: 02 | May-2015.
- Dr.K.Thangaduraiand K.Padmavathi,” Computer Visionimage Enhancement For Plant Leaves Disease Detection,” World Congress on Computing and Communication Technologies2014.