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. 2022 Mar 5;34(12):9511–9536. doi: 10.1007/s00521-022-07104-9

Table 4.

UAV-based datasets

Ref. Dataset Data type Number of images Image size Altitude/GSD (m) Crop type Acquisition time
WHU-Hi-HongHu 550×400 500 / 0.463 Corn, cotton, sesame, broad-leaf soybean, narrow-leaf soybean, and rice July 17, 2018, from 13:49 to 14:37
[128] WHU-Hi-HanChuan Hyperspectral 1217×303 250 / 0.109 Strawberry, cowpea, soybean, sorghum, water spinach, watermelon, and greens June 17, 2016, from 17:57 to 18:46
WHU-Hi-HongHu 940×475 100 / 0.043 17 crop types, including cotton, rape, and cabbage November 20, 2017, from 16:23 to 17:37
[93] Weedmap (000) Multispectral 10,196 5995×5854 10 / 1.04 Sugar beet & weed 18 September 2017, 9:18–40 a.m.
Weedmap (001) 4867×5574 10 / 0.94
Weedmap (002) 6403×6405 10 / 0.96
Weedmap (003) 5470×5995 10 / 0.99
Weedmap (004) 4319×4506 10 / 1.07
Weedmap (005) 7221×5909 10 / 0.85 5–18 May 2017, around 12:00 p.m.
Weedmap (006) 5601×5027 10 / 1.18
Weedmap (007) 6074×6889 10 / 0.83
[60] VOAI RGB 2293 (No data augmentation) 224×224 20 / 0.47 12 tree species
21,863 (with data augmentation) 30 / 0.90
40 / 1.43
50 / 1.76
[92] WeedNet Multispectral 465 2 / – Sugar beet & weed