Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review
Weed management is always a challenge in crop production, exacerbated by the issue of herbicide resistance. Excessive herbicide application not only leads to the development of herbicide resistance weeds but also causes environmental problems.
Puranjit Singh, Biquan Zhao, Yeyin Shi
doaj +1 more source
Weed Detection Using Deep Learning: A Systematic Literature Review. [PDF]
Murad NY +5 more
europepmc +1 more source
Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf. [PDF]
Jin X +4 more
europepmc +1 more source
CoFly-WeedDB: A UAV image dataset for weed detection and species identification. [PDF]
Krestenitis M +6 more
europepmc +1 more source
Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton. [PDF]
Sapkota BB +6 more
europepmc +1 more source
Assessing the Capability and Potential of LiDAR for Weed Detection. [PDF]
Shahbazi N +7 more
europepmc +1 more source
Review of Weed Detection Methods Based on Computer Vision. [PDF]
Wu Z, Chen Y, Zhao B, Kang X, Ding Y.
europepmc +1 more source
Weed Warden: A low-cost weed detection device implemented with spectral triad sensor for agricultural applications. [PDF]
Duncan L +7 more
europepmc +1 more source
Dataset for weed detection in fruit orchards. [PDF]
Salcedo-Navarro A +3 more
europepmc +1 more source
GEFA-YOLO: Lightweight Weed Detection with Group-Enhanced Fusion Attention. [PDF]
Li H +6 more
europepmc +1 more source

