Poaceae Diseases Detection using Machine Learning

Authors

  • Aayush Adhikari
  • Bisoj Bishwakrama
  • Charchit Regmi
  • Dipesh Giri
  • Suramya Sharma Dahal

DOI:

https://doi.org/10.3126/kjse.v8i1.69278

Keywords:

Agriculture, Image Processing, Nitrogen, Phosphorous, Poaceae Plant Disease, Potassium

Abstract

Agriculture is the number one supply of livelihood for approximately more than 66% of the Nepali population and Poaceae class is one of the most important meal grains of Nepal. Poaceae plant sicknesses are the major causes to lessen the manufacturing & goodness of meals. Nutrient deficiency of Nitrogen, Potassium and Phosphorus.can also cause plants to not grow to their full strength. Identification and preventing such diseases as well as nutrient deficiency can enhance the growth of Poaceae plants.

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Author Biographies

Aayush Adhikari

Dept of Electronics and Computer Engineering, Thapathali Campus, IOE, TU

Bisoj Bishwakrama

Dept of Electronics and Computer Engineering, Thapathali Campus

Charchit Regmi

Dept of Electronics and Computer Engineering, Thapathali Campus, IOE, TU

Dipesh Giri

Dept of Electronics and Computer Engineering, Thapathali Campus, IOE, TU

Suramya Sharma Dahal

Assoc Professor, Dept of Electronics, Communication & Information Engineering, Kathmandu Engineering College

KJSE Cover Page

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Published

2024-09-02

How to Cite

Adhikari, A., Bishwakrama, B., Regmi, C., Giri, D., & Sharma Dahal, S. (2024). Poaceae Diseases Detection using Machine Learning. KEC Journal of Science and Engineering, 8(1), 117–122. https://doi.org/10.3126/kjse.v8i1.69278

Issue

Vol. 8 No. 1 (2024)

Section

Articles