MR-CODESPIKE/sentinelng-data-crop

SentinelNG Crop Image Dataset

This repository contains image-folder resources for crop or plant-disease classification in the SentinelNG project. Use the directory structure and class folders as the source of truth for the currently published categories.

Reproducible use

Inspect image dimensions, formats, duplicate content, and class distribution before training. Split by plant, field, or source collection where that information exists, rather than relying only on random image-level splits. Record preprocessing, augmentation, label mapping, and metrics for each class.

Crop predictions are decision-support signals, not agronomic guarantees. Validate against local conditions and consult qualified agricultural professionals before recommending treatment.