Tomato Disease Diagnosis 17+

Viral diseases are the main problem of poor yields for tomatoes. You can easily use the app of diseased and healthy tomato leaves on their farms, allowing them to use computer vision techniques to monitor the disease type and severity and increase yields.

The scanning results will be displayed in the 10 classes like
+ 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

Accuracy may be decreased depending on sunlight or shade. As the camera continues to operate, please turn off the app when not in use. Thank you.

This app enables the use of computer vision and deep learning technologies to scan the aforementioned disease types such as TBS, TEB, TLB, TLM, TMV, TSLS, TTS, TTSSM, TYLCV and healthy in increasing yields. There is a huge image database (total of 10,000 images/10 classes: TBS, TEB, TLB, TLM, TMV, TSLS, TTS, TTSSM, TYLCV and healthy) in the tiny deep learning model. So, we also optimized the heavy deep learning model database (10,000 images/10 classes) for convenient use on mobile devices. In addition, It took few days to train the huge data by NVIDIA RTX 3090 x 2 machines.

Our intended purpose is to help the farmers build AI computer vision systems on their mobile devices.
We always welcome any questions like research report, paper and so on. Please contact us at farmingai.ceo@gmail.com