DoctorP is an Android app developed by Александр Ужинский for plant disease detection and treatment recommendations. The app provides a prediction based on a photo or selected image of the plant and a neural network trained on a real-life dataset. The app offers advice on treatment and examples for many crops such as apples, barberry, cherry, corn, cotton, cannabis, wheat, cucumbers, currant, grape, orchid, strawberry, and tomatoes.

To use DoctorP, the device must have internet connectivity. The app can predict a range of plant diseases such as Black rot, Esca, Powdery mildew, Chlorosis, Black chaff, Brown rust, Yellow rust, Downy mildew, Eyespot, Northern leaf blight, Southern rust, Alternaria leaf blight, Verticillium wilt, Nutrient deficiency, Anthracnose, Leaf spot, Leaves scorch, Cyclamen mite, Grey mold, Bacterial spot, Gray rot, Late blight, Leaf mold, Monilia, Scab, and Canker.

It is important to note that DoctorP can only predict known diseases, and the developers are working to improve the neural networks and expand the database. Users can send feedback to the developers to help them improve the app.