Comparison and Estimation of Sulphur Content in Copra

Agriculture plays a vital role in Indian Economy. Over 70 % of the rural households depend on agriculture. There is 11.1 million of ton of coconut was cultivated. The dried coconut meat is known as copra and it is a source of coconut oil, which is used in enormous quantities for making fats for baking and confectionery. The copra is dried under open sunlight on the drying yard. The post-processing includes the fumigation of copra under sulphur. The Sulphur in excess can cause brain cell death, brain damage, blindness. The idea is to identifying the presence of sulphur using image processing techniques and comparing with the real time estimation. The copra images are acquired with and without presence of sulphur. The region of interest is segmented by using multithresh and active contour. The features are extracted from the image to differentiate normal and sulphur copra by using GLCM technique. The K-NN classification is used to classify the sulphur added copra at different levels. Keywords: Fumigation, multithresh, Active contour, KNN, GLCM