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References from Developing a generalized plant stand count model based on transfer learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Slicing aided hyper inference and fine-tuning for small object detection
2022 · External reference
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry
2021 · External reference
High-throughput image-based plant stand count estimation using convolutional neural networks
10.1371/journal.pone.0268762 · 2022 · External reference
A review of unmanned aerial vehicle-based methods for plant stand count evaluation in row crops
2022 · External reference
Rice plant counting, locating, and sizing method based on high-throughput UAV RGB images
10.34133/plantphenomics.0020 · 2023 · External reference
Automated crop plant counting from very high-resolution aerial imagery
10.1007/s11119-020-09725-3 · 2020 · External reference
Early corn stand count of different cropping systems using UAV-imagery and deep learning
2021 · External reference
Plant counting of cotton from UAS imagery using deep learning-based object detection framework
10.3390/rs12182981 · 2020 · External reference
Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)
10.1371/journal.pone.0223906 · 2019 · External reference
Wheat plant counting using UAV images based on semi-supervised semantic segmentation
2021 · External reference
Detection and counting of corn plants in the presence of weeds with convolutional neural networks
10.3390/rs14194892 · 2022 · External reference
Comparison of deep learning methods for detecting and counting sorghum heads in UAV imagery
10.3390/rs14133143 · 2022 · External reference
RPNet: rice plant counting after tillering stage based on plant attention and multiple supervision network
10.1016/j.cj.2023.04.005 · 2023 · External reference
Integrating automated labeling framework for enhancing deep learning models to count corn plants using UAS imagery
10.3390/s24196467 · 2024 · External reference
Mask R-CNN refitting strategy for plant counting and sizing in UAV imagery
10.3390/rs12183015 · 2020 · External reference
Transfer learning from citizen science photographs enables plant species identification in UAV imagery
2022 · External reference
A novel transfer learning framework for Sorghum biomass prediction using UAV-based remote sensing data and genetic markers
2023 · External reference
A transfer-learning-based feature classification algorithm for UAV imagery in crop risk management
10.5004/dwt.2020.25200 · 2020 · External reference
YOLOv5-Tassel: detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning
10.1109/jstars.2022.3206399 · 2022 · External reference
Assessing the impact of soil and field conditions on cotton crop emergence using UAV-based imagery
2024 · External reference
Unresolved reference
2023 · External reference
10.1007/978-3-031-72751-1_1
10.1007/978-3-031-72751-1_1 · External reference
Yolov10: real-time end-to-end object detection
10.52202/079017-3429 · 2024 · External reference
10.1109/cvpr52733.2024.01605
10.1109/cvpr52733.2024.01605 · External reference
Unresolved reference
External reference
A review on yolov8 and its advancements
2024 · External reference
