Stover is a desktop application that classifies green canopy cover, crop residue, and bare soil from downward-facing images captured with cameras or mobile devices. It helps quantify field surface cover for agronomic, environmental, and research applications.
Trained on images from corn, sorghum, soybean, sunflower, and wheat fields, Stover may also perform well in other cropping systems. For the most accurate residue estimates, capture images when little or no live vegetation is present. 📸 Tip: Take photos about 2–3 ft (0.6–0.9 m) above the ground to capture fine residue details. For broader coverage, take multiple photos instead of raising the camera higher.
- Download from: soilwater.github.io/stover
- Double-click the downloaded file and follow the installation prompts.
- Launch Stover from your desktop (initial startup may take a moment).
- Ideal for batch analysis, saving results in multiple formats, and obtaining image coordinates.
- 💾 Recommended: at least 64 GB of RAM for large image sets.
- Access the web version here: soilwater.github.io/stover/mobile
- Runs directly in your browser—no installation required.
- Perfect for quick, in-field use on smartphones or tablets.
- Classifies a single image at a time and provides instant cover results.