Author : Babu Kumar S 1
Date of Publication :25th April 2018
Abstract: India mainly depends on Agriculture, as 60-75% of Indian population depends on source of Agriculture directly or indirectly. Agriculture plays a very vital role in terms of social and economic aspects of the country. The crop productivity reduces automatically due to disease that may affect the plants, and also may reduce the quality of the crops. This paper includes a detailed survey on plant disease detection from leaf using image processing. The reason for considering leaf as a source for plant disease detection is, studies have shown that the diagnosis of diseased plant can be achieved better from properties of leaf. The better productivity of the crops is achieved if the plants have resistance against various types of diseases, which may be caused due to Bacteria, Virus or Fungi. But due to external factors and internal factors most of the plants are easily prone to get attacked by various diseases easily, resulting in reduced quality and quantity of crops or fruits. Hence detection and diagnosis of the plant disease at the right time helps in proper productivity of crops. Detection can be achieved using various features like color, intensity, region of attack, size, shape, dimensions etc. This paper presents an overview of various techniques using different methods available for plant disease detection.
Reference :
-
- Vijai Singh, A.K. Misra, “Detection of plant leaf diseases using image segmentation and soft computing techniques”, Information Processing in Agriculture Science direct Volume 4, Issue 1, March 2017, Pages 41-49
- http://www.uky.edu/Ag/PAT/cat1/leafdis.htm
- Shanwen Zhang, Haoxiang Wang, Wenzhun Huang, Zhuhong You, “Plant diseased leaf segmentation and recognition by fusion ofsuperpixel, K-means and PHOG”, International Journal for Light and Electron Optik Volume 157, March 2018, Pp 866-872
- R.Meena Prakash, G.P.Saraswathy, G.Ramalakshmi,” Detection of Leaf Diseases and Classification using Digital Image Processing”, International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) in IEEE, 2017
- Mr. Anand K. Hase, Ms. Priyanka S. Aher, Mr. Sudeep K. Hase, “Detection, Categorization and suggestion to cure infected plants of Tomato and Grapes by using OpenCV framework for Andriod Environment”, 2nd International Conference for Convergence in Technology (I2CT) in IEEE, 2017, Pp 956-959
- Trimi Neha Tete, Sushma Kamlu, “Detection of Plant Disease Using Threshold, K- Mean Cluster and ANN Algorithm”, 2nd International Conference for Convergence in Technology (I2CT) in IEEE, 2017, Pp 523-526
- Varsha P. Gaikwad, Dr. Vijaya Musande” Wheat Disease Detection Using Image Processing”, 1st International Conference on Intelligent Systems and