Author : B.Sanjana 1
Date of Publication :20th April 2018
Abstract: Today’s farmers face a major problem in detecting tainted seeds with the naked eye. The proposed project detects the percentage of both pure and impure seeds by using digital image processing technique. As India is an agriculture based country, a thought came up as to what a Computer Science undergraduate could do for the farmers. Due to the increased amount of counterfeit seeds, there are huge losses faced by the farmers who eventually are committing suicides. In order to eradicate this, a project has been developed that helps detect different seed varieties apart from the required ones in a sample of seeds. This requires a web camera to capture the images of the seeds and the results are generated immediately stating what percentage of the seeds from the seed lot belong to which variety and also if there are any unwanted ODVs. This project can be extended in future to develop a mobile application where a user can capture an image of a seed sample from a mobile device and the application generates the report regarding the purity and impure percentages
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