Data Set Classification of Plant Diseases and Nutrition Level Using Machine Learning Algorithm

Authors

  • G. Mahalakshmi CK college of Engineering and Technology Author
  • P. Jegadeeshwari CK college of Engineering and Technology Author

DOI:

https://doi.org/10.54228/mjaret07220011

Keywords:

Plant Disease; Nutrition Level; Yield

Abstract

Plant diseases are a major cause of decreased yield and lower farmer revenue. Currently, scientists are working hard to develop a system that can automatically identify plant illnesses and assess the nutritional status of plants. Accurate diagnosis of plant diseases may aid in identifying a cure as soon as possible to minimise damage. The goal of this study is to provide an unique method for predicting plant diseases and nutrient levels using machine learning methods.

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Author Biographies

  • G. Mahalakshmi, CK college of Engineering and Technology

    PG Scholar

  • P. Jegadeeshwari, CK college of Engineering and Technology

    Assistant Professor

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Published

2022-07-30

Issue

Vol. 2 No. 5 (2022)

Section

Research Articles(s)

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