File:Leafcount.png
Size of this preview: 799 × 187 pixels. Other resolution: 1,709 × 400 pixels.
Original file (1,709 × 400 pixels, file size: 216 KB, MIME type: image/png)
Open source leaf counting for tomatoes
| Date created | January 5, 2026 |
|---|---|
| Author | Joshua M. Pearce |
| Date uploaded | January 5, 2026 |
| Uploader | Joshua M. Pearce |
| Source | Own work |
| License | CC-BY-SA-4.0 |
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 11:37, 5 January 2026 | | 1,709 × 400 (216 KB) | J.M.Pearce (talk | contribs) | Uploaded own work with UploadWizard |
You cannot overwrite this file.
File usage
The following 24 pages use this file:
- A new method to determine the effects of hydrodynamic surface coatings on the snow shedding effectiveness of solar photovoltaic modules
- A novel camera-based sensor for real-time wastewater quality monitoring
- FAST
- FAST Free Software
- Factors effecting real-time optical monitoring of fused filament 3D printing
- From blender to farm: Transforming controlled environment agriculture with synthetic data and SwinUNet for precision crop monitoring
- Image Analysis Method for Quantifying Snow Losses on PV Systems
- Monofacial vs bifacial solar photovoltaic systems in snowy environments
- Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines
- Open Source Completely 3-D Printable Centrifuge
- Open Source Computer Vision-based Layer-wise 3D Printing Analysis
- Open source disease analysis system of cactus by artificial intelligence and image processing
- Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks
- Real-Time Eye State Detection System for Driver Drowsiness Using Convolutional Neural Network
- Snow Losses for Photovoltaic Systems: Validating the Marion and Townsend Models
- Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing
- Three Hundred and Sixty Degree Real-Time Monitoring of 3-D Printing Using Computer Analysis of Two Camera Views
- Tool change reduction for multi-color fused filament fabrication through interlayer tool clustering implemented in PrusaSlicer
- Towards Smart Monitored AM: Open Source in-Situ Layer-wise 3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine
- Two-Stage Deep Learning Model for Non-Destructive Leaf Counting in Tomato Crops
- User:J.M.Pearce
- Template:FAST-CV
- Category:Computer vision
- Category:FAST Completed