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Deepak Kumar

Hybrid Deep Learning Model for Wheat Yellow Rust Disease Detection

Detection of Wheat Yellow Rust Severity Levels using Deep Learning Model

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In many regions of the world, wheat quality and yield losses have been increased due to wheat rust diseases. The identification of yellow rust disease along with the percentage of tissues damaged by the rust disease in terms of severity levels is very important and usually it is achieved through experienced evaluators or computer vision techniques. With the help of computer vision techniques, the cost and time should be minimized. This study presents classification model for wheat yellow rust with different severity levels of disease. It is achieved through STARGAN and Convolutional neural network (CNN). The STARGAN is proposed in this study… Mehr

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Produktdetails

Weitere Autoren: Kukreja, Vinay
  • ISBN: 978-620-4-21033-9
  • EAN: 9786204210339
  • Produktnummer: 37877737
  • Verlag: LAP Lambert Academic Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 84 S.
  • Masse: H22.0 cm x B15.0 cm x D0.5 cm 143 g
  • Abbildungen: Paperback
  • Gewicht: 143

Über den Autor

Deepak Kumar is presently pursuing a Ph.D. in Computer Science & Engineering (CSE) from Chitkara university, Punjab, India. Dr. Vinay Kukreja is presently working as an Associate professor at Chitkara University, Punjab, India. His research areas are machine learning, deep learning and agile software development.

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