公开数据集合:农作物、农业相关的数据集合

01 开数据集合


1.PlantVillage公开数据集:
https://github.com/spMohanty/PlantVillage-Dataset

2.PlantDoc公开数据集:
https://github.com/pratikkayal/PlantDoc-Dataset

3.WHU-HI(武汉大学无人机高光谱数据集):准确的作物分类和高光谱图像分类
http://rsidea.whu.edu.cn/resource_WHUHi_sharing.htm

4.RiceSeedlingDataset:用于水稻目标检测,水稻幼苗分类
https://github.com/aipal-nchu/RiceSeedlingDataset

5.Purple rapeseed leaves dataset:紫油菜籽叶的分离研究
https://figshare.com/s/e7471d81a1e35d5ab0d1

6.Stewart_NLBimages_2019:北方玉米叶枯萎检测
https://datacommons.cyverse.org/browse/iplant/home/shared/GoreLab/dataFromPubs/Stewart_NLBimages_2019

7.Field images of maize annotated with disease symptoms:玉米疾病检测
https://osf.io/p67rz/

8.RSC:大米计数
https://github.com/JintaoWU/RiceSeedingCounting

9.weedMao:杂草匹配
<https://github.com/viariasv/weedMap/tree/86bf44d3ecde5470f662ff53693fadc542354343 >

10.oilPalmUav:油棕榈生长状况监测
https://github.com/rs-dl/MOPAD

11.HRSCD:土地覆盖测绘以及变化监测
https://ieee-dataport.org/open-access/hrscd-highresolution-semantic-change-detection-dataset

12.CSIF:叶绿素荧光参数的计算
https://figshare.com/articles/dataset/CSIF/6387494

13.LEM+ dataset:作物分类
<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701344/ (accessed on 17 October 2021)>

14.EYES IN THE SKIES:药物作物鉴定
https://ieee-dataport.org/documents/eyes-skiesdata-driven-fusion-approach-identifying-drugcrops-remote-sensing-images

15.BreizhCrops:作物分类
https://github.com/dl4sits/BreizhCrops

16.Semantic Segmentation of Crop Type in Ghana:作物分类的语义分割
http://registry.mlhub.earth/10.34911/rdnt.ry138p/

17.Semantic Segmentation of Crop Type in South Sudan:作物分类的语义分割
http://registry.mlhub.earth/10.34911/rdnt.v6kx6n/

18.AgriculturalField-Seg:农田分割
<https://www.aic.uniovi.es/bremeseiro/agriculturalfield-seg/ >

19.EarthExplorer:中央枢纽灌溉系统识别、稻田分割、作物分类
https://earthexplorer.usgs.gov/

20.Copernicus Open Access Hub:硝酸盐和含沙量估算、稻田分割、早期作物分类等。
https://scihub.copernicus.eu/dhus/#/home

21.TimeSen2Crop:作物分类
https://rslab.disi.unitn.it/timesen2crop/

22. Rice Leafs: An image collection four rice diseasest(8.04GB)
https://www.kaggle.com/shayanriyaz/riceleafs

23. Rice Diseases Image Dataset(12.96GB)
https://www.kaggle.com/minhhuy2810/rice-diseases-image-dataset

24. Rice Plant Dataset:Healthy and Unhealthy Rice Plant Dataset(1.35GB)
https://www.kaggle.com/rajkumar898/rice-plant-dataset

25. Rice Diseases (四类数据)(4.92GB)
https://www.kaggle.com/jonathanrjpereira/rice-disease?select=Rice_All

26. Rice Diseases (五类数据)(4.93GB)
https://www.kaggle.com/renzmarrionperea/ricedisease

27. Rice disease: image classification(4.36GB)
https://www.kaggle.com/nurnob101/rice-disease

28. Three Rice Species: 3 Taiwan rice species(3.2GB)
https://www.kaggle.com/yi8306/three-rice-species

29. 杂草与病虫害(部分)数据:
https://pan.baidu.com/s/11uuB-PyM1jK1rzsJpnP1ng?pwd=woqh

提取码:woqh

30. 田间道路数据集
链接:https://pan.baidu.com/s/1oD6pc_8EgL2G6VmhbQHoJA?pwd=7o03
提取码:7o03

31. 290农场数据
链接:https://pan.baidu.com/s/1gbYCXkR9tM_2qYHYEA9vpw?pwd=lpa5
提取码:lpa5

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转载自blog.csdn.net/zhuoqingjoking97298/article/details/129938071