A deep learning model using CNN to predict the health of tomato plants based on a leaf image. Divided into 3 classes:
- tomato_early_blight: Indicates the presence of disease symptoms in the tomato plant
- tomato_healthy: Indicates a healthy tomato plant
- tomato_late_blight: Indicates that the tomato plant is diseased
Accuracy: 94.84%
Validation Accuracy: 96.58%
Loss: 19.30%
Validation Loss: 13.21%
Accuracy: 94.65%
Validation Accuracy: 93.45%
Loss: 19.31%
Validation Loss: 19.26%
Dataset
https://www.kaggle.com/datasets/arjuntejaswi/plant-village
Docker Image:
https://hub.docker.com/repository/docker/hng011/ai/general
I utilize only three datasets, which consist of:
- Tomato_Early_blight
- Tomato_Late_blight
- Tomato_healthy