Empowering Sustainable Agriculture with AI-Powered Leaf Nutrient Sensing on AWS
Spatial Computing Blog
This article describes an AI-powered leaf nutrient sensing platform developed at UC Davis using AWS cloud services to help growers optimize fertilizer application in orchards.
- Deep learning model predicts 16 leaf traits including nitrogen, phosphorus, potassium from hyperspectral data
- Mobile app and web platform enable real-time leaf scanning and instant nutrient predictions
- Built on AWS Lambda, API Gateway, Cognito, and S3 for secure, scalable cloud processing
- Replaces traditional lab testing with field-level analysis for individual trees and blocks
- Reduces fertilizer overapplication, improves yield quality, and prevents groundwater pollution
- Future versions will support additional crops and spatial mapping capabilities
The platform makes precision nutrient management accessible to growers while supporting environmental sustainability and regulatory compliance.
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