Working of the model
![](https://wp2023.cs.hku.hk/fyp23093/wp-content/uploads/sites/94/Screenshot-2024-04-28-at-2.21.47-AM.png)
Our system accepts plant leaf images as input and produces a classification output corresponding
to one of the 22 designated classes. In recent years, deep neural networks have demonstrated
remarkable success in various domains as powerful tools for end-to-end learning. These
networks learn to establish a mapping between an input (e.g., an image of a diseased plant) and a
corresponding output (e.g., a specific crop-disease diagnosis). The interconnected mathematical
nodes within a neural network process numerical inputs from incoming connections, generating
numerical outputs via outgoing connections.