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Weeds are ambiguous plants that disrupt farmers’ territorial plans for a good crop, yet weeds are a necessary component of swidden agriculture systems. In Laos and other parts of Southeast Asia, resilient weeds challenge state plans to compel highland swidden farmers to intensify and “modernize” their traditional agricultural systems.
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A review on weed detection using ground-based machine vision and image processing techniques
Computers and Electronics in Agriculture, 2019Aichen Wang, Xinhua Wei
exaly
CNN feature based graph convolutional network for weed and crop recognition in smart farming
Computers and Electronics in Agriculture, 2020Yongliang Qiao, Changqing Song
exaly
Autonomous robotic weed control systems: A review
Computers and Electronics in Agriculture, 2008D K Giles, D Downey
exaly
A DNN-based semantic segmentation for detecting weed and crop
Computers and Electronics in Agriculture, 2020Jie You, Joonwhoan Lee
exaly
Row spacing and weed control timing affect yield of aerobic rice
Field Crops Research, 2011Bs Chauhan
exaly
The future for weed control and technology
Pest Management Science, 2014Hugh Beckie, Dale Shaner
exaly
Ground-based sensing system for weed mapping in cotton
Computers and Electronics in Agriculture, 2008J Alex Thomasson, Ruixiu Sui
exaly

