Downloads: 114
Survey Paper | Information Technology | India | Volume 4 Issue 2, February 2015
A Survey on Methods of Plant Disease Detection
Sagar Patil [2] | Anjali Chandavale [3]
Abstract: Plant disease detection is emerging field in India as agriculture is important sector in Economy and Social life. Earlier unscientific methods were in existence. Gradually with technical and scientific advancement, more reliable methods through lowest turnaround time are developed and proposed for early detection of plant disease. Such techniques are widely used and proved beneficial to farmers as detection of plant disease is possible with minimal time span and corrective actions are carried out at appropriate time. In this paper, we studied and evaluated existing techniques for detection of plant diseases to get clear outlook about the techniques and methodologies followed. The detection of plant disease is significantly based on type of family plants and same is carried out in two phases as segmentation and classification. Here, we have discussed existing segmentation method along with classifiers for detection of diseases in Monocot and Dicot family plant.
Keywords: Classifier, Dicot Plant Disease, Feature Extraction, Monocot Plant Disease, Pre-Processing, Segmentation
Edition: Volume 4 Issue 2, February 2015,
Pages: 1392 - 1396
Similar Articles with Keyword 'Classifier'
Downloads: 8 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Masters Thesis, Information Technology, Zimbabwe, Volume 11 Issue 2, February 2022
Pages: 133 - 136A Comparative Model for Predicting Customer Churn using Supervised Machine Learning
Muchatibaya Adrin | David Fadaralika
Downloads: 105
Research Paper, Information Technology, India, Volume 3 Issue 6, June 2014
Pages: 1654 - 1660Privacy Preserving Protocol for Two-Party Classifier Over Vertically Partitioned Dataset Using ANN
Smitha Iddalgave | Sumana M [4]