Syed Mehdi.000
Syed Mehdi
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AI

Plant Disease Detection

Computer-vision leaf-disease classifier via transfer learning, served in real time.

How it works
Result
96% accuracy
Data flows left to right · click a stage
01 Leaf Image
Image input

A photo of a plant leaf is captured in the field for diagnosis.

96%
Accuracy
Real-time
Serving
Stack
TensorFlowTransfer LearningCNNTF ServingOpenCV
The Problem

Early plant-disease diagnosis in the field needs accuracy without huge labelled datasets.

Objective

Classify leaf diseases accurately and serve predictions for real-time field use.

Approach

Built a CNN with transfer learning and data augmentation to handle limited labelled data, then deployed on TensorFlow Serving for real-time diagnosis.

Challenges

Class imbalance across disease types; addressed with augmentation and transfer learning.

Results

96% detection accuracy on leaf-disease classification.

What's Next

On-device inference for offline field diagnosis.

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