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Jute Pest

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About

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
Subject Area
Biology
Instances
7,235
Features
17
Data Types
Image
Tasks
Classification
Feature Types
Categorical

Features

Introductory Paper

An Efficient Deep Learning Approach for Jute Pest Classification Using Transfer Learning
Muhammad Tanvirul Islam and Md. Sadekur Rahman. 2024.
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)

Additional Metadata

Keywords
Authors
Muhammad Tanvirul Islam
Year Created
2024
License
CC BY 4.0