An Overview on Automated Quality Assessment of Crops

Authors

  • G Sofiya
  • Sybi Cynthia J

Abstract

Image classification may be a preferred method for agriculture product identification since the merchandise is unbroken from the method. Many disclosed works with the crop detection such as different types of rice seeds have used image classification techniques. Python based image grading identification and Java based farmer recommendation system have been used in this proposed system and for the feature extraction, principal component analysis and opencv for classification. Prediction by Partial Matching is a method used to predict subsequent symbol counting on ‘n’ previous. For the farmers to sell their products on to the top users, K-nearest neighbour algorithm (KNN) which is an e-agriculture platform have been used. The usage of this project will enable the farmers to sell their products at better rates.  

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Published

2020-04-16

Issue

Section

Articles