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AI-Based Crop Disease Detection (25AI115)
The AI-Based Crop Disease Detection system scans plant foliage photos to diagnose underlying botanical infections early and suggest remediation steps.
Why Build This System?
- Prevents widespread seasonal harvest losses
- Guides automated targeted pesticide use
Key Features
- Leaf lesion patch segmentation
- Infection classification grids
System Basics
Agricultural photos undergo pixel-level analysis to evaluate color variations and micro-lesions, mapping inputs against predefined crop disease databases.
Code Snippet:
import cv2
# Plant health color segmentation test
img = cv2.imread("leaf.jpg")
print("Analyzing leaf color arrays...")Learning Outcomes:
- Master advanced image feature extraction steps
- Implement practical agri-tech computer vision