Download Tomato Disease Diagnosis App V. 1.0.4
Apple AppStore - Google Play
Tomato Disease Diagnosis App V. 1.0.4
by Haesung Lee
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. B - More Info...

Available Since: 2022-04-29
Developer: Haesung Lee
Seller: Haesung Lee
Price: 14.99 USD
Current version: 1.0.4
Last Updated: 2025-07-28

Ratings: 0 out of 5 stars.
Based on 0 reviews. (Rate/Review)
Genre: Productivity
Filesize: 41.19MB
IOS Bundle ID: com.farmingai.tomato.ImageClassification
Age Rating: 17+
Languages: EN

Videos: Tomato Disease Diagnosis App Videos

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: [email protected]

Want BIG updates? Enter your email address:

Delivered Once Every Tuesday.