Rice Grains BRRI (Rice Grain Disease Dataset for False Smut and Neck Blast)
Introduced by Ahmed et al. in Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset
dataset (balanced) of 200 images consists of three classes - False Smut, Neck Blast and healthy grain class. Some of these images contain both diseases together. Field data collected under the supervision of staff from the Bangladesh Rice Research Institute (BRRI).
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
