Project-AgML/sugarcane_damage_usa

Sugarcane Damage Usa

A dataset for classification of sugarcane damage. The dataset contains 153 images across 6 classes: cracked, crushed, no_buds, no_damage, single_damaged_buds, two_buds.
Images per class:

• cracked: 24
• crushed: 24
• no_buds: 21
• no_damage: 36
• single_damaged_buds: 24
• two_buds: 24

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@ARTICLE{8412587,
author={Alencastre-Miranda, Moises and Davidson, Joseph R. and Johnson, Richard M. and Waguespack, Herman and Krebs, Hermano Igo},
journal={IEEE Robotics and Automation Letters},
title={Robotics for Sugarcane Cultivation: Analysis of Billet Quality using Computer Vision},
year={2018},
volume={3},
number={4},
pages={3828-3835},
doi={10.1109/LRA.2018.2856999}
}