AgriTech2024
CropAI Analytics
Satellite imagery analysis tool helping farmers optimize irrigation and pesticide usage through deep learning models.
15%
Yield Increase
20%
Water Saved
AgriFutures
Client
The Challenge
Processing terabytes of high-resolution satellite imagery daily and delivering actionable insights to farmers' mobile devices in remote areas.
The Solution
Leveraged cloud-native serverless functions for image processing pipelines and optimized TensorFlow Lite models for on-device inference.
Key Results
Increased crop yields by 15% and reduced water usage by 20% for pilot farms.
Tech Stack
PythonTensorFlowReactMapbox
Services Provided
- Backend Engineering
- UI/UX Design
- Cloud Infrastructure
Visual Gallery
