Plant Disease Detection Using Image Processing

Abstract

Identification of the plant diseases is the key to 
preventing the losses in the yield and quantity of the 
agricultural product. The studies of the plant 
diseases mean the studies of visually observable 
patterns seen on the plant. Health monitoring and 
disease detection on plant is very critical for 
sustainable agriculture. It is very difficult to monitor 
the plant diseases manually. It requires tremendous 
amount of work, expertise in the plant diseases, and 
also require the excessive processing time. Hence, 
image processing is used for the detection of plant 
diseases. Disease detection involves the steps like 
image acquisition, image pre-processing, image 
segmentation, feature extraction and classification. 
This paper discussed the methods used for the 
detection of plant diseases using their leaves images. 
This paper also discussed some segmentation and 
feature extraction algorithm used in the plant 
disease detection.