Plants disease is a problem which may result due to various factors such as fertilizers, cultural practices followed, environmental conditions, etc. These diseases affect agricultural yield and eventually the economies.There are limited resources at disposal for farmers to navigate through this challange.
This projects works on a solution to brigde this gap on farm resources and creates a platform that farmers can exchange tips , empowered by a disease identifying AI platform
🎯 ML technology for plant disease detection from images
🎯 Real-time chatroom where farmers can share knowledge
GitRepo:https://github.com/WahomeKezia/PlantDisease_Identifier_API/tree/main
StreamLit App :https://plantdiseaseidentifierapi-juhnzakket7henjd4l7afy.streamlit.app/
Feature Model Architecture
See here: https://colab.research.google.com/drive/1vE6sz_CmQ88p797cVtsdv69A2f5RxykQ?usp=sharing
The data set used in this project is the PlantVillage Dataset. The dataset was published by crowdAI during the "PlantVillage Disease Classification Challenge".
The dataset consists of about 54,305 images of plant leaves collected under controlled environmental conditions. The plant images span the following 14 species:
Apple, Blueberry, Cherry, Corn, Grape, Orange, Peach, Bell Pepper, Potato, Raspberry, Soybean, Squash, Strawberry, and Tomato.
The dataset contains a total of 38 classes of plant disease and 1 class of background images listed below:
| Apple Scab | Apple Black Rot | Apple Cedar Rust | Apple Healthy |
| Blueberry Healthy | Cherry Healthy | Cherry Powdery Mildew | Corn Northern Leaf Blight |
| Corn Gray Leaf Spot | Corn Common Rust | Corn healthy | Grape Black Rot |
| Grape Black Measles | Grape Leaf Blight | Grape Healthy | Bell Pepper Healthy |
| Orange Huanglongbing | Peach Bacterial Spot | Peach Healthy | Bell Pepper Bacterial Spot |
| Potato Early Blight | Potato Healthy | Potato Late Blight | Raspberry Healthy |
| Soybean Healthy | Squash Powdery Mildew | Strawberry Healthy | Strawberry Leaf Scorch |
| Tomato Bacterial Spot | Tomato Early Blight | Tomato Late Blight | Tomato Leaf Mold |
| Tomato Septoria Leaf Spot | Tomato Two Spotted Spider Mite | Tomato Target Spot | Tomato Mosaic Virus |
| Tomato Yellow Leaf Curl Virus | Tomato Healthy |
Due to the limited computational power, it is difficult to train the classification model locally . Therefore, use the processing power offered by Google Colab notebook as it connects us to a free TPU or GPU instance quickly and effortlessly. Train with reduced batche-sizes and apply other preprocessing steps like dataImageGenerator to spare memory space resourses
- The PlantVillage dataset paper can be found here.