Plant Health Detection

by vikasgovindrao in Living > Health

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Plant Health Detection

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This project focuses on detecting the health condition of plant leaves using a Machine Learning (ML) environment in PictoBlox. A custom dataset comprising images of healthy, yellow, damaged, and dead leaves was collected and uploaded to train a classification model. The trained model analyses leaf images in real-time and classifies them into respective categories, enabling quick identification of potential plant health issues. The project integrates PictoBlox’s dashboard and ChatGPT extensions to provide an interactive interface for displaying classification results alongside visual inputs.

Supplies

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We are using pictoblox as the software for the training of ML Model and coding

Train Model

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First we train the ML MODEL

Code the Trained Ml Model

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Now we code are trained ML Model to identify plant health based on different leaf condition

READY TO USE THE CODE

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Now we have our code ready to use