Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 3, Pages 1608-1618
AbstractToday, Identification of good quality seeds or crops is a major challenge in India. It is sort out using Image Classification and Data Mining techniques. Picture classification is a favoured strategy for horticulture item identification since the item is unblemished from the cycle. The image is captured and the features are distracted based on their attributes. This is then clustered using K-means and Principal Component Analysis method to assign the grades based on the result.
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