Leaf Doctor
Initial evidence from research studies
App Summary
App Screenshots




Detailed Description
Functionality & Mechanism Developed by the University of Hawaii at Manoa, Leaf Doctor facilitates quantitative assessment of plant disease severity from digital images. The system processes user-submitted photographs of plant organs, such as leaves. The interface captures input as the operator selects up to eight colors representing healthy tissue. A threshold algorithm then isolates symptomatic areas, which are visually confirmed before the system calculates the percentage of diseased tissue. Resulting data and annotated images can be exported via email.
Evidence & Research Context
- A validation study demonstrated high accuracy (R² ≥ 0.79) for disease severity estimation when compared against the discipline-standard software, Assess.
- The tool exhibited robust precision across six different plant diseases, with low coefficients of variation (0.51% to 14.1%) for repeated measurements of the same image.
- The associated research noted a significant negative relationship between measurement variation and mean disease severity, indicating greater precision on more severely diseased samples.
- The protocol also highlighted operational advantages, including reduced image processing time and the capacity to generate standard area diagrams for research.
Intended Use & Scope This application is designed for plant pathologists, agronomists, researchers, and educators requiring objective measurements of disease severity. Its primary utility is the quantification of visually present symptoms, not disease diagnosis or identification. Accurate operation depends on the user's ability to correctly distinguish healthy from diseased tissue. Results are intended to supplement expert pathological assessment.
Studies & Publications
Peer-reviewed research associated with this app.
Leaf Doctor: A New Portable Application for Quantifying Plant Disease Severity
Pethybridge et al. (2015) · Plant Disease
App measurements accurately matched the reference standard with high precision across multiple plant diseases.
In the Media
Leaf doctor makes the rounds
Cornell's Sarah Pethybridge and the University of Hawaii's Scot Nelson developed Leaf Doctor to quantify disease severity in plants, using photo analysis technology that distinguishes diseased areas from healthy tissue. "This is a reliable way to get actual percentages of disease severity, by comparing pixels covered by disease and pixels covered by healthy tissue," Pethybridge said. The free app launched on iOS in 2015 and recently became available for Android users through Google Play.
The leaf doctor is in
University of Hawaiʻi plant pathologist Scot Nelson developed Leaf Doctor to help researchers accurately quantify plant disease for epidemiological studies, using smartphone photography and interactive touch-screen technology. Nelson notes that while existing PC-based systems cost $795 and are "difficult to use, not interactive and not particularly accurate," his free iOS app "is accurate to within a percentage point." The app allows users to photograph plant tissue, identify healthy areas by touching the screen, and automatically calculate diseased tissue as a percentage of total leaf area.
Plant pathologist creates new plant disease assessment app
CTAHR plant pathologist Scot Nelson developed Leaf Doctor to provide more accurate disease severity assessment for researchers and plant professionals, replacing decades-old methods that rely on comparing plants to printed standard area diagrams. Nelson anticipates that "for many of those who will use the Leaf Doctor, it is likely to be a professional game-changer" in plant epidemiology work. The specialized app targets researchers studying disease resistance and breeders developing new plant varieties, unlike Nelson's broader Plant Doctor app used globally.
App Information
Developer
University of HawaiiCategory
Evidence Profile
Initial evidence from research studies
Platforms
Updated
Oct 2017
© 2025 University of Hawaii
Tags
Leaf Doctor
Free