Jute Pest

Donated on 11/17/2023

This dataset has 17 classes. Data are divided in three partition train, val and test. The classes are 0 : Beet Armyworm 1 : Black Hairy 2 : Cutworm 3 : Field Cricket 4 : Jute Aphid 5 : Jute Hairy 6 : Jute Red Mite 7 : Jute Semilooper 8 : Jute Stem Girdler 9 : Jute Stem Weevil 10 : Leaf Beetle 11 : Mealybug 12 : Pod Borer 13 : Scopula Emissaria 14 : Termite 15 : Termite odontotermes (Rambur) 16 : Yellow Mite

Dataset Characteristics

Image

Subject Area

Biology

Associated Tasks

Classification, Other

Feature Type

Categorical

# Instances

7235

# Features

17

Dataset Information

Has Missing Values?

No

Introductory Paper

An Efficient Deep Learning Approach for Jute Pest Classification Using Transfer Learning

By Muhammad Tanvirul Islam and Md. Sadekur Rahman. 2024

Published in 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)

Variable Information

Class Labels

0 : Beet Armyworm 1 : Black Hairy 2 : Cutworm 3 : Field Cricket 4 : Jute Aphid 5 : Jute Hairy 6 : Jute Red Mite 7 : Jute Semilooper 8 : Jute Stem Girdler 9 : Jute Stem Weevil 10 : Leaf Beetle 11 : Mealybug 12 : Pod Borer 13 : Scopula Emissaria 14 : Termite 15 : Termite odontotermes (Rambur) 16 : Yellow Mite

Dataset Files

FileSize
Jute_Pest_Dataset.zip155.4 MB

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Keywords

Creators

Muhammad Tanvirul Islam

muhammad15-14364@diu.edu.bd

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