MRI
MRI India Journals Vol. 9 No. 3 (2022): Volume 9 Issue 3 2022

Wheat Kernel Prediction (Wheat Classification App)

Authors

  • Kaustubh Ramesh Dubey
  • Adityaraj Hemant Chaudhari
  • Karthik Kishan Gatla
  • Gayatri Bhandari

DOI:

https://doi.org/10.65521/mjret.v9i3.1214

Keywords:

Machine Learning Dataset Classification Regression Wheat Classifier Identification, Multi-Class classification Hyper-Parameter Tuning Support Vector Machine, Rosa, Kama Parameters Canadian

Abstract

Grains are quite possibly the main piece of our diet. There are various sorts of grains like corn, millet, wheat, grain, and so on. We as a whole realize that Wheat is one of the biggest cropped grains in India and it has various different sorts related with it. The wheat type can stretch by taking into consideration various elements like As. Code, length of Kernel, and so on. Various methods related to Machine Learning can be utilized to separate the sorts of Wheat based on its characteristics. So, by utilizing our application the client can have the option to recognize the wheat into various gatherings by entering the respected values in the regarded fields in User Interface (UI).

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Published

2022-10-01

How to Cite

Dubey, K. R., Chaudhari, A. H., Gatla, K. K., & Bhandari , G. (2022). Wheat Kernel Prediction (Wheat Classification App). Multidisciplinary Journal of Research in Engineering and Technology, 9(3), 36–43. https://doi.org/10.65521/mjret.v9i3.1214

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