Multi-modal and multi-view image dataset for weeds detection in wheat field

doi: 10.3389/fpls.2022.936748.

eCollection 2022.


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Ke Xu et al.

Front Plant Sci.


No abstract available


deep learning; grass weeds detection; machine learning; multi-modal image; multi-view image; wheat field.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


Figure 1

(A) Image acquisition equipment, (B) Intel® RealSense™ Depth Camera D415, and (C) TL-IPC44AN-4camera.

Figure 2

Figure 2

(A) Labeling of grass and broadleaf weeds in wheat fields using LabelImg and (B) weed detection result in wheat field.


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