System overview
MaizeGenie
Python
Machine Learning
Deep Learning
Computer Vision
Image-based maize pest identificationObject detection and image classificationPest lifecycle information
Full Stack / Engineering case study
MaizeGenie
An AI-powered mobile platform supporting sustainable and profitable corn cultivation through pest identification and control guidance.
01 / Overview
About the project
Developed the Corn Pest Identification and Control component, applying computer vision, object detection, and image classification to uploaded crop images.
02 / The problem
What it addresses
Maize farmers need accessible support for identifying pests and understanding appropriate lifecycle-based control methods.
03 / The approach
How it works
Integrated image-based pest identification with bilingual lifecycle information and stage-based control recommendations in Sinhala and English.
Key features
- Image-based maize pest identification
- Object detection and image classification
- Pest lifecycle information
- Stage-based control recommendations
- Sinhala and English guidance
- Machine-learning service integration with a mobile application