Predictive power of smartphone imaging
Traditional crop monitoring methods are often labor-intensive and subjective or require expensive equipment. This project develops an AI-driven smartphone solution for detailed 3D/4D crop analysis, empowering farmers to enhance field management and sustainable practices.

AFS Newsletter - Contribution by
Olivia Keller
World Food System Center, ETH Zurich
olikeller@ethz.ch | LinkedIn
read more about the ETH Smart Sustainable Farming Research Program
