- Objectives: recognize the plant disease on plant leaf and fruit using RGB images
- RGB image
- leaf, fruit
- plant: tomato, wheat
- disease
This project is not active and we are collecting public plant disease datasets in PPDRD project.
- Ag task: agricultural task
- disease: disease classification or object detection
- plant: plant identification
- woody: woody identification
- pest: pest detection or classification
- ML task: machine learning task, such as classification (cls), object detection (obj), segmentation (seg)
- Environment (env): where to take pictures, lab (lab), real world (real) such as field and greenhouse, from internet (internet)
- Organs: leaf, fruit, flower, root, bark or stem, habitat
Name | env | ML task | Ag task | Plant | img | class | Paper | Dataset |
---|---|---|---|---|---|---|---|---|
PlantVillage | lab | cls | disease | Multiple leaf | 54,305 | 38 | Paper | Dataset |
PlantDoc | internet | cls, obj | disease | Multiple leaf | 2,598 | 27 | Paper | Dataset |
PDD271 | real | cls | disease | Multiple leaf | 220,592 | 271 | Paper | Sample |
PDDB | lab+real | disease | Multiple leaf | 1,575 | 79 | Paper | Dataset | |
PlantLeaf | lab | cls | disease | Multiple leaf | 4,503 | 12 | Paper | Dataset |
TaiwanTomato | real+lab | cls | disease | Tomato leaf | 622 | 5 | Dataset | |
IVADL_tomato | real | cls, obj | disease | Tomato leaf | 17,063 | 9 | Dataset | |
IVADL_rose | real | cls, obj | disease | Rose leaf | 23,114 | 6 | Dataset | |
Apple2020 | real | cls | disease | Apple leaf | 3,642 | 4 | Paper | Dataset |
Apple2021 | real | cls | disease | Apple leaf | 18,632 | 6 | Paper | Dataset |
AppleObj | lab+real | obj | disease | Apple leaf | 26,377 | 5 | Paper | |
Cassava | real | cls | disease | Cassava leaf | 21,397 | 5 | Paper | Dataset |
GoodCucumber | real | cls | disease | Cucumber leaf | 691 | 2 | Dataset | |
Citrus | lab | cls | disease | Citrus fruit leaf | 105 + 609 | 5 + 5 | Paper | Dataset |
BRACOL | lab | cls, seg | disease | Coffee leaf | 4,407 | 4 | Paper | Dataset |
RoCoLe | real | obj | disease | Coffee leaf | 1,560 | 2 | Paper | Dataset |
JMuBEN | real | cls, seg | disease | Coffee leaf | 58,555 | 5 | Paper | Dataset |
GoodCorn | lab | cls | disease | Corn leaf | 4,117 | 2 | Dataset | |
Corn NLB | real | obj | disease | Corn leaf | 18,222 | 2 | Dataset | |
MerlotGrape | real | seg | disease | Grape all | 99 | 7 | Paper | Dataset |
DiaMOS | real | obj | disease | Pear fruit | 499 + 3,006 | 4 | Paper | Dataset |
Rice5932 | real | cls | disease | Rice leaf | 5,932 | 4 | Paper | Dataset |
Rice1426 | real | cls | disease | Rice leaf | 1426 | 9 | Paper | Dataset |
LWDCD2020 | real | cls | disease | Wheat spike | 12,160 | 10 | Paper | Part |
CGIAR | real | cls | disease | wheat | 876 | 3 | Dataset | |
Corn2018 | real | obj | disease | corn | 18,222 | 1 | Paper | Dataset |
Corn2022 | real+lab | cls | disease | corn | 7,701 | 4 | Paper | Dataset |
Field-PV | real | cls | disease | multiple | 665 | 38 | Paper | Dataset |
Grape | grape | 4 | Dataset | |||||
Black gram | real+lab | cls | disease | black gram | 1,000 | 5 | Paper | Dataset |
WheatLeaf | real | disease | wheat | 407 | 3 | Dataset | ||
Ibean | real | disease | bean | 1,296 | 3 | Dataset | ||
Chili | real+lab | disease | chili | 500 | 5 | Dataset |
Name | env | ML task | Ag task | Plant and organ | img | class | Paper | Dataset |
---|---|---|---|---|---|---|---|---|
PlantCLEF2022 | real | cls | plant ident | Multiple Multiple | 2,885,052 | 80,000 | Paper | Dataset |
Pl@ntNet-300K | real | cls | plant ident | multiple | 306,146 | 1,081 | Paper | Dataset |
MEW2014 | lab | cls | woody ident | Multiple leaf | 151 | Paper | Dataset | |
IP102 | real | cls, obj | pest | 75,000 | 102 | Paper | Dataset | |
TomatoPest8 | real | cls | pest | tomato pest | 609 | 8 | Dataset | |
Soybean | real | cls | pest leaf | soybean leaf | 6,410 | 3 | Paper | Dataset |
GWHD | real | obj | wheat head | wheat head | Paper | Dataet | ||
F.margarita | real | obj | growth stage | Fortunella margarita | 1,031 | 3 | Paper | Dataset |
PomegraGrade | lab | cls | fruit grade | Pomegranate Fruit | 3 | paper | Dataset | |
Medjool | lab | cls, obj | fruit grade | dates | 2,576 | 3 | Paper | Dataset |
FruitNet | real | cls | fruit grade | Multiple fruit | 19,526 | 3 | Paper | Dataset |
SoybeanSeed | lab | cls | seed grade | soybean seed | Paper | |||
ChineseHerb | real | cls, seg | flower cls | Multiple flower | 1,716 | 12 | Paper | Dataset |
Flower103 | real | cls, seg | flower cls | Multiple flower | 103 | Paper | ||
WeedRobot | real | obj | weed | Multiple Multiple | 1,118 | Paper | Dataset |
- Chinese crop disease dataset, images with watermark
- Chinese grape disease, with watermark
- plantnet website
- python library for food, agriculture
- China agricultural disease and pest dataset but not available
- Grape disease
- PlantifyDr software
- Ariel image
- ICL plant woody identification
- Vegetable crops at an early stage
- Fuji apple 3D point cloud
- Soybean seed grade, not image
- whitefly counting
- Cassava root
- pineapple and others dataset
- Plant detection application
- Wheat powdery mildew dataset
- Remote sense different types of crop for harvest
- UAV for plant disease
- Korea plant related dataset
Please fell free to contribute this project.
If this project is useful for you, please cite this project.
@misc{MinglePlant,
author={Mingle Xu},
title={Plant Disease Recognition Datasets},
howpublished={\url{https://github.com/xml94/Plant_disease_recognition}},
}