Weedy rice classification using image processing and a machine learning approach

HIGHLIGHTS

• who: Rashidah Ruslan and colleagues from the Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis (UniMAP) have published the Article: Weedy Rice Classification Using Image Processing and a Machine Learning Approach, in the Journal: Agriculture 2022, 12, x FOR PEER REVIEW of /2022/
• what: This study has proved that the features extracted from the RGB images have higher sensitivity and accuracy in identifying the seeds than the monochrome images by using image processing and a machine learning technique with the selected colour morphological and textural features. In this study, five varieties of the cultivated rice . . .
  

   

  

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