Dataset for Agriculture Pest Images

Citation Author(s):
Deepali
Javale
Dr. Vishwanath Karad MIT wOrld Peace University, Pune, India
Aditya
Dere
Dr. Vishwanath Karad MIT wOrld Peace University, Pune, India
Saharsh
Gavas
Dr. Vishwanath Karad MIT wOrld Peace University, Pune, India
Aditya
Teke
Dr. Vishwanath Karad MIT wOrld Peace University, Pune, India
Aakif
Khan
Dr. Vishwanath Karad MIT wOrld Peace University, Pune, India
Submitted by:
Deepali Javale
Last updated:
Sat, 09/14/2024 - 02:55
DOI:
10.21227/xmfd-k187
Data Format:
License:
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Abstract 

This is the pest image dataset. With this data set at hand, scientists or software engineers may create programs capable of recognizing when creatures harm farm produce. This breadth extends not only across different plants but also covers many types of bugs like aphids, leafhoppers, beetles , caterpillars etcetera providing a large diverse pool from which one can train models designed to detect pests. Arranging photos by pest species makes it easy for people looking into them understand what they should expect find. Nevertheless, while organizing images according to a given name has its benefits, it doesn’t provide other types of metadata beyond labeling bugs hence limiting some kinds analysis especially those requiring more detailed environmental context.

Comments

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Submitted by SIVA VENIGALLA on Sun, 07/07/2024 - 22:55

Nice 

Submitted by Abdullah Noman on Fri, 07/12/2024 - 22:16