crop-disease
crop-disease-balanced-5022Crop_Disease_Image_Dataset
Crop Disease Image Dataset (5 Crops, 19 Classes)
Dataset Summary
The Crop Disease Image Dataset is a curated, high-quality agricultural image dataset designed for computer vision, deep learning, and smart farming applications. It contains 22,169 RGB leaf images spanning 5 major crops across 19 distinct healthy and diseased classes.
This dataset was constructed by collecting, filtering, and standardizing images from multiple open-source agricultural repositories… See the full description on the dataset page: https://huggingface.co/datasets/ipartzix/Crop_Disease_Image_Dataset.cropdiseaseCrop_Disease_Images
Crop Disease Expert Annotations
1,026 expert annotations over 989 crop photographs, covering pests, diseases and nutrient deficiencies across 74 crop types. The images are included in this repository.
Every image is a photo taken by a smallholder farmer on their own plot and sent to Farmer.Chat, an AI advisory service run by Digital Green. Agronomists then reviewed each photo on Digital Green's annotation platform. Nothing here is scraped, staged, or lab-photographed.… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images.BeejX-Crop-Disease-Dataset
BeejX Crop Disease Dataset
Edge-AI Data Solution for Crop Disease Recognition (Offline & Mobile-First).
Dataset Overview
The BeejX Crop Disease Dataset is an extensive, multi-crop image classification dataset curated for training lightweight Edge-AI models. The dataset is specifically structured and balanced to train models like MobileNetV2 (Quantized), enabling real-time, offline inference on low-end Android devices in rural agricultural areas.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/bf369/BeejX-Crop-Disease-Dataset.bd-crop-vegetable-plant-disease-dataset
🌾 Bangladesh Multi-Crop Disease Classification Dataset
📖 Dataset Description
This comprehensive dataset contains 123,588 images across 94 disease classes from 13 different crops commonly cultivated in the Bangladeshi agricultural region. The dataset is specifically curated to address plant disease identification challenges in South Asian agriculture, with a focus on crops that are economically and nutritionally significant to Bangladesh and the broader region.The… See the full description on the dataset page: https://huggingface.co/datasets/Saon110/bd-crop-vegetable-plant-disease-dataset.