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.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Nov 19
2025
2025
Announcing the AWS Well-Architected Responsible AI Lens
Dec 9
2025
2025
How to use Sustainability Insights Framework on AWS
Jan 27
2026
2026
How Agriculture and Agri-Food Canada built a cloud-based coherence change detection solution with AWS
Dec 9
2025
2025
Uniting AI and ancient wisdom: How WildTrack and AWS are revolutionizing wildlife monitoring
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.