Week 1 — Plant Disease Detection

Theme

Our project is about Image Classification. Given images of plants that healty or diseased, the model is to predict the disease where the pictures were taken from.

Team Members: Sevda Sayan, Fatmanur Turhan, İsmet Seyhan

Plants must be protected from diseases in order to ensure that the products produced by agriculture are fertile. When we want to understand if a plant has a disease, it can be understandable by looking of the plant’s leaf.

Being able to understand a plant will be helpful for agricultural engineers for their jobs. On the basis of these problem we decided to make plant disease detection and after that make an app for easy usage.

Dataset

We will use two datasets that have both healty and diseased different types of plants. We decided to combine them. Because both of them have different types of plant types and we want to classify quite a lot as much as possible.

First dataset has images of pepper, tomato and potato. Also it classified by plants and their specific diseases. Second dataset is the same as first dataset but it has images for apple, blueberry, cherry, corn, grape, orange, peach, pepper etc.

PlantVillage Dataset

Related Works

There are lots of related works about this challange. We picked some which are as follows:

Using Deep Learning for Image-Based Plant Disease Detection