Call For Paper Volume:4 Issue:8 Aug'2017 |

Analysis and Estimation of Rust Disease in Bengal gram Based onThresholding and RGB Extraction using Image Processing

Publication Date : 12/05/2015



Author(s) :

Devaki P , Bharatkumar H.K , Chethan C.R , R.R Abhiram , Vinaykumar P .


Volume/Issue :
Volume 2
,
Issue 5
(05 - 2015)



Abstract :

Plant diseases can cause significant reduction in both quality and quantity of agricultural products. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large fields of crops, and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. Relying on pure naked-eye observation to detect and classify diseases can be expensive and inaccurate. The proposed system provides a software solution to tradition methods which are incorporated in detection of Bengal gram plant diseases using image processing technique .The system helps the farmers to take precautions in order to prevent disease spread . It also provides accurate results against naked eye observations. The process begins with capturing Bengal gram leaves from the field. The captured images are preprocessed using filtering techniques, and then the green pixels are masked and removed using specific threshold value. Based on the result, the total area on the leaf affected by a disease and healthy area are calculated. Finally texture features are extracted.  


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Analysis and Estimation of Rust Disease in Bengal gram Based onThresholding and RGB Extraction using Image Processing

May 11, 2015