From: Plant diseases and pests detection based on deep learning: a review
Species | Collection environment | Link |
---|---|---|
PlantVillage-Dataset: 50,000 images of classified plant diseases of 14 crop varieties and 26 diseases [84] | Detached leaves on a plain background | |
Rice Leaf Diseases Data Set: three classes of diseases: Bacterial leaf blight, Brown spot, and Leaf smut, each having 40 images [85, 86] | Captured with a white background in direct sunlight | |
Image Database for Plant Disease Symptoms (PDDB): 2326 images of 171 diseases and other disorders affecting 21 plant species [87] | Field | |
New Plant Diseases Dataset (Augmented): 87Â K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes | Detached leaves on a plain background | https://www.kaggle.com/vipoooool/new-plant-diseases-dataset/ |
38 disease classes from PlantVillage dataset and 1 background class from Stanford’s open dataset of background images—DAGS [88] | Network | https://github.com/MarkoArsenovic/DeepLearning_PlantDiseases |
18,222 images annotated with 105,705 northern leaf blight (NLB) lesions [89] | Field | |
40 classes of insects from rice, maize, soybean, sugarcane and cotton crops | Field | |
17,624 high quality JPG image data of rice, wheat and maize of 200Â GB | Field | |
PlantDoc dataset: 2598 data points in total across 13 plant species and up to 17 classes of diseases [63] | Field | https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset |
Northern Leaf Blight (NLB) dataset for Maize | Field | https://bisque.cyverse.org/client_service/browser?resource=/data_service/dataset |
3651 images of apple leaf disease [90] | Field | |
IP102: Insect Pest Recognition Database: 75,000 images belonging to 102 categories [91] | Field | |
A database of eight common tomato pest images [92] | Network |