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

Front Plant Sci. 2022 Aug 22:13:936748. doi: 10.3389/fpls.2022.936748. eCollection 2022.

Ke Xu^{1

2

3

4}, Zhijian Jiang⁵, Qihang Liu⁵, Qi Xie^{1

2

3

4}, Yan Zhu^{1

2

3

4}, Weixing Cao^{1

2

3

4}, Jun Ni^{1

2

3

4}

¹ College of Agriculture, Nanjing Agricultural University, Nanjing, China.
² National Engineering and Technology Center for Information Agriculture, Nanjing, China.
³ Engineering Research Center of Smart Agriculture, Ministry of Education, Nanjing, China.
⁴ Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing, China.
⁵ College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.

No abstract available

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