PLANT MONITOR

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Inspiration

ML face detection inspired me to do this application

What it does

PLANT-O-DOC is an application that is used to detect the Plant diseases in leaves. The image obtained is classified using Model classifier . It will detect the image and detect the appropriate Disease and prints the requires remedy (Treatment for that Disease) as a result .

How I built it

Using Android Studio with JAVA as base language and MindSpore Model trainer

Challenges I ran into

Getting the Dataset for ML training

Accomplishments

Successfully trained and obtained an accuracy of 92.4% in detection

What I learned

Creating a ML based Application

What's next for PLANT MONITOR

The first demo of this app can predict 19 types of plant disease :

Apple_Cedar_apple_rust Apple_Apple_scab Apple_Black_rot Northern_Leaf_Blight Corn_Blight Corn_Common_Rust Corn_Gray_Leaf_Spot Grape_Black_Rot Grape_Esca Grape_Leaf_Blight Pepperbell_Bacterial_Spot Potato_Early_Blight Potato_Late_Blight Tomato Tomato​​​_Bacterial_Spot​ Tomato_Early_Blight Tomato_Late_Blight Tomato_Leaf_Mould Tomato_Mosaic_Virus Tomato_Yellow_leaf_curl_Virus ​​ more diseases will be added in future...

Built With

• android-studio
• java
• mindspore