Recognition Method for Weeds in Rapeseed Field Based on Faster R-CNN Deep Network

Zhang Le; Jin Xiu; Fu Leiyang; Li Shaowen

doi:10.3788/LOP57.021508

Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21508(2020)

Recognition Method for Weeds in Rapeseed Field Based on Faster R-CNN Deep Network

Zhang Le, Jin Xiu, Fu Leiyang, and Li Shaowen^*

Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, School of Information & Computer, Anhui Agricultural University, Hefei, Anhui 230036, China

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Zhang Le, Jin Xiu, Fu Leiyang, Li Shaowen. Recognition Method for Weeds in Rapeseed Field Based on Faster R-CNN Deep Network[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21508

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Paper Information

Category: Machine Vision

Received: Jun. 12, 2019

Accepted: --

Published Online: Jan. 3, 2020

The Author Email: Shaowen Li (shwli@ahau.edu.cn)

DOI:10.3788/LOP57.021508

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology