AI Crop Disease Classifier

Project Overview

Collect consented images, train and evaluate a crop classifier; quantify false classifications.

Objectives

Leaf photographs; trained classifier; confidence report

Required Hardware / Software

Python, PyTorch, OpenCV

Development Plan

1. Define project requirements and technical constraints.
2. Prepare architecture, flowcharts, and component or module list.
3. Implement the core feature in small verifiable stages.
4. Test errors, edge cases, and recovery behavior.
5. Document results and prepare the demonstration and viva.

Testing Checklist

• Check normal operation and expected output.
• Test invalid input, disconnections, and relevant fault cases.
• Record measurements or screenshots as appropriate.
• Document limitations, security, and operating conditions.

Deliverables

Architecture or circuit diagram, annotated code, screenshots or measurements, test report, documentation outline, and demonstration.

Educational project concept with an illustrative image, not a photograph of a completed customer project. Implementation details must be verified before practical use.