# Tomato Disease Diagnosis — Offline tomato health check

> Offline tomato health check (iPhone/iPad app by Haesung Lee.)

- Source: https://appshunter.io/ios/app/tomato-disease-diagnosis/id1619679442 (this page in markdown: same URL + `.md`)
- Developer: [Haesung Lee](https://appshunter.io/developer/1613473792)
- Category: Productivity, Utilities
- Price: $6.99 (on sale, was $7.99)
- Age rating: 17+
- Requires: iOS 12.0 · 41 MB
- Languages: English
- Released: 2022-04-29
- Data updated: 2026-07-07
- User reviews in markdown: https://appshunter.io/ios/app/tomato-disease-diagnosis/id1619679442/reviews.md

## What is Tomato Disease Diagnosis?

Tomato Disease Diagnosis is an educational app designed to help users, including young learners and farming families, understand and identify common viral and fungal diseases affecting tomato crops. By using real-time camera input and deep learning technology, the app analyzes tomato leaves to detect disease types and severity levels, with the goal of improving crop yields.
The app scans and classifies tomato leaf conditions into the following 10 categories:
+ Tomato Bacterial Spot (TBS)
+ Tomato Early Blight (TEB)
+ Tomato Late Blight (TLB)
+ Tomato Leaf Mold (TLM)
+ Tomato Mosaic Virus (TMV)
+ Tomato Septoria Leaf Spot (TSLS)
+ Tomato Target Spot (TTS)
+ Tomato Two-Spotted Spider Mite (TTSSM)
+ Tomato Yellow Leaf Curl Virus (TYLCV)
+ Healthy
A Play Game tab has also been added to this version, featuring a Tomato Tetris Game. This is a fun and simple block-stacking game designed to encourage logical thinking and fine motor skills in children, while reinforcing the theme of tomato farming in an age-appropriate and entertaining way.
Please note: Scanning accuracy may vary depending on lighting conditions (e.g., direct sunlight or shade). The app uses your camera during diagnosis, so we recommend closing the app when not in use to save battery.
The scanning model is powered by a lightweight deep learning system trained on 10,000 images across 10 disease classes. The AI model was trained using high-performance computing resources (NVIDIA RTX 3090 × 2), then optimized for mobile devices to ensure smooth offline usage in remote or rural areas.
We emphasize that this app contains no advertisements, no external links, and no user data collection. All features are suitable for younger users, and optional technical settings (e.g., Confidence Threshold) are designed for use under parental guidance.
Our goal is to make AI-based agricultural tools accessible and educational. If you have questions about the research, model, or educational uses of this app, feel free to contact us at: farmingai.ceo@gmail.com

## Chart rankings

- #178 in Top Paid · Productivity (US App Store)


## Version history (last 2 releases)

### 1.0.4 — 2025-07-28

We’ve updated the user interface to be more intuitive and edu-friendly, and added a fun and educational Tomato Tetris Game to help children improve focus and problem-solving skills.

### 1.0 — 2022-04-29

No release notes.

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## More apps by Haesung Lee

- [Bee Pest Diagnosis](https://appshunter.io/ios/app/bee-pest-diagnosis/id1613473790)
- [Cassava Disease Diagnosis](https://appshunter.io/ios/app/cassava-disease-diagnosis/id1613886968)
- [FarmingEye Endoscope](https://appshunter.io/ios/app/farmingeye-endoscope/id6779615915)

All apps by Haesung Lee: https://appshunter.io/developer/1613473792

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-07-07.*