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Effect of Mowing, Imaging Technique, and Annotation Method on Weed Detection in Turfgrass Using Yolo

https://doi.org/10.2139/ssrn.5378473
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inferredcites →https://doi.org/10.1007/978-3-030-66823-5_42openalex-snapshot
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
inferredcites →https://doi.org/10.1007/s00521-022-07104-9openalex-snapshot
Deep learning techniques to classify agricultural crops through UAV imagery: a review
inferredcites →https://doi.org/10.1007/s12200-019-0853-1openalex-snapshot
High accuracy object detection via bounding box regression network
inferredcites →https://doi.org/10.1016/j.compag.2020.105684openalex-snapshot
Edge detection for weed recognition in lawns
inferredcites →https://doi.org/10.1016/j.compag.2023.107655openalex-snapshot
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
inferredcites →https://doi.org/10.1016/j.compag.2024.108622openalex-snapshot
Multi-growth stage plant recognition: A case study of Palmer amaranth (Amaranthus palmeri) in cotton (Gossypium hirsutum)
inferredcites →https://doi.org/10.1016/j.ecoenv.2024.116904openalex-snapshot
Phytoremediation of Pb-polluted soil using bermudagrass: Effect of mowing frequencies
inferredcites →https://doi.org/10.1016/j.eja.2019.01.004openalex-snapshot
Deep learning for image-based weed detection in turfgrass
inferredcites →https://doi.org/10.1016/j.pestbp.2005.05.003openalex-snapshot
Mechanism of resistance to quinclorac in smooth crabgrass (Digitaria ischaemum)
inferredcites →https://doi.org/10.1017/wet.2020.29openalex-snapshot
Herbicide-resistant weeds in turfgrass: current status and emerging threats
inferredcites →https://doi.org/10.1017/wet.2022.84openalex-snapshot
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems
inferredcites →https://doi.org/10.1080/17429140601015226openalex-snapshot
Impact of mowing and weed control on broadleaf weed population dynamics in turf
inferredcites →https://doi.org/10.1109/biosig.2016.7736924openalex-snapshot
How Image Degradations Affect Deep CNN-Based Face Recognition?
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvprw.2019.00114openalex-snapshot
Comparing the Effects of Annotation Type on Machine Learning Detection Performance
inferredcites →https://doi.org/10.1109/icacce46606.2019.9079965openalex-snapshot
Comparison of Yolo, SSD, Faster RCNN for Real Time Tennis Ball Tracking for Action Decision Networks
inferredcites →https://doi.org/10.1109/qomex.2016.7498955openalex-snapshot
Understanding how image quality affects deep neural networks
inferredcites →https://doi.org/10.1111/j.1365-3180.2010.00829.xopenalex-snapshot
Weed detection for site‐specific weed management: mapping and real‐time approaches
inferredcites →https://doi.org/10.1111/wre.12526openalex-snapshot
Advances in site‐specific weed management in agriculture—A review
inferredcites →https://doi.org/10.1201/9781003070092-4openalex-snapshot
Environmental Impacts of Turfgrass Pesticides
inferredcites →https://doi.org/10.13031/2013.13269openalex-snapshot
DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT
inferredcites →https://doi.org/10.1590/s0100-83582013000200024openalex-snapshot
Use of herbicides on turfgrass
inferredcites →https://doi.org/10.2135/cropsci1995.0011183x003500050027xopenalex-snapshot
Mowing Height and Vertical Mowing Frequency Effects on Putting Green Quality
inferredcites →https://doi.org/10.2135/cropsci2003.1899openalex-snapshot
Cultural Management of Weeds in Turfgrass
inferredcites →https://doi.org/10.3389/fpls.2021.702626openalex-snapshot
Unmanned Aerial System-Based Weed Mapping in Sod Production Using a Convolutional Neural Network
inferredcites →https://doi.org/10.3389/frevc.2024.1394315openalex-snapshot
The reduction of chemical inputs by ultra-precise smart spot sprayer technology maximizes crop potential by lowering phytotoxicity
inferredcites →https://doi.org/10.3390/agronomy12123051openalex-snapshot
Deep Learning-Based Weed Detection in Turf: A Review
inferredcites →https://doi.org/10.3390/agronomy8020015openalex-snapshot
Autonomous Mower vs. Rotary Mower: Effects on Turf Quality and Weed Control in Tall Fescue Lawn
inferredcites →https://doi.org/10.3390/app13148502openalex-snapshot
Evaluation of YOLO Object Detectors for Weed Detection in Different Turfgrass Scenarios
inferredcites →https://doi.org/10.3390/machines11070677openalex-snapshot
YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection
inferredcites →https://doi.org/10.3390/rs10020285openalex-snapshot
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
inferredcites →https://doi.org/10.3390/rs13112140openalex-snapshot
Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping
inferredcites →https://doi.org/10.3390/rs16010149openalex-snapshot
A Survey of Object Detection for UAVs Based on Deep Learning
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