Poaceae Diseases Detection using Machine Learning

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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Publication Details

Journal
KEC Journal of Science and Engineering
Published
2024-09-02
DOI
https://doi.org/10.3126/kjse.v8i1.69278
Primary Topic
Leaf Properties and Growth Measurement
Type
article
Field-Weighted Citation Impact
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Poaceae Diseases Detection using Machine Learning

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Poaceae Diseases Detection using Machine Learning

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article en

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.

KEC Journal of Science and EngineeringVol. 8(1)
Kathmandu Medical College Teaching Hospital (NP)
Zero hunger
Openalex Percentile: Top 92%
Leaf Properties and Growth Measurement
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