Leaf Disease Detection Using Python

Agricultural productivity is highly dependent on the economy. One of the reason for plant disease identification is plant diseases are quite common in fields.If proper norture is not done in that specified area, severe impact will be observed in plants and affects the quality, quantity or productivity of the respective product. In order to detect the disease effect to the leaf, CNN algorithm is used for image analysis. The automated identification of disease symptoms is useful for upgrading agricultural products. It reduces the cost of pesticides, insecticides and other goods which will increase the productivity in agriculture.

REFERENCES

[1] Savita N. Ghaiwat et al., Detection and classification of plant leaf diseases using image processing techniques: a review (2014).
[2] Prof. Sanjay B. et al., Agricultural plant leaf disease detection using image processing (2013).
[3] Mrunalini R. et al., An application of K-means clustering and artificial intelligence in pattern recognition for crop diseases (2011)
[4] S. Arivazhagan et al., Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features (2013)
[5] Anand H. Kulkarni et al., Applying image processing technique to detect plant diseases (2012)
[6] Sabah Bashir et al., Remote area plant disease detection using image processing (2012)
[7] Smita Naikwadi et al., Advances in image processing for detection of plant diseases (2013).
[8] Sanjay B. Patil et al., Leaf disease severity measurement using image processing (2011)
[9] Piyush Chaudhary et al., Color transform based approach for disease spot detection on plant leaf (2012)
[10] Arti N. Rathod et al., Image processing techniques for detection of leaf disease (2013)
[11] Kiran R. Gavhale, and U. Gawande, “An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques,” IOSR J. of Compu. Eng. (IOSRJCE),vol. 16, PP 10-16, Jan. 2014.
[12] : Y. Q. Xia, Y. Li, and C. Li, “Intelligent Diagnose System of Wheat Diseases Based on Android Phone,” J. of Infor. & Compu. Sci., vol. 12, pp. 6845-6852, Dec. 2015.
[13] K. Padmavathi, and K. Thangadurai, “Implementation of RGB and Gray scale images in plant leaves disease detection –comparative study,” Indian J. of Sci. and Tech., vol. 9, pp. 1- 6,Feb. 2016.