Python Image Processing Projects - Plant Disease Recognition - ClickMyProject
Agriculture is one field which has a high impact on life and economic status of human beings. Improper management leads to loss in agricultural products. This process is to detect the plant leaf disease detection using the deep neural network the alternative of Densenet121 neural network.
This can easily detect the disease of plant leaf. First select the plant village dataset and apply into pre-processing method. In this part it is very useful to identify the disease, then it will process into model selection and classification. In classification it will train the dataset and the disease can analyse and show the status of plant leaf that is healthy or unhealthy.
The disease can be detected in the image of plant leaf. This work utilizes an open dataset of unhealthy and solid plants, where Densenet121 is used characterize crop species and detect the sickness status of different distinct classes. The predicted result based on accuracy.
