AUTHOR(S): 

Mosbah El Sghair, Raka Jovanovic, Milan Tuba

TITLE

An Algorithm for Plant Diseases Detection Based on Color Features

KEYWORDS

CIELAB, HSI, YCbCr, Plant leaf disease detection, Image processing

ABSTRACT

Digital images enabled great improvements in many different areas and biology and agriculture are some of them. Plant diseases detection and classification is very important task and further more automatic detection of plant diseases is an important analysis topic because it could help in observation of giant fields of crops, and therefore mechanically find the symptoms of diseases as shortly as they appear on the plant leaves. In this paper we proposed an algorithm for automatic detection of plant leaf diseases. The proposed method consists of several steps including median filter, thresholding, and uses of different color models for segmentation. Our proposed method provides quicker and more accurate detection and classification compared to other state-of-art.

Cite this paper

Mosbah El Sghair, Raka Jovanovic, Milan Tuba. (2017) An Algorithm for Plant Diseases Detection Based on Color Features. International Journal of Agricultural Science, 2, 1-6