A blockchain-secured platform using sensor data and AI to optimize water management in Midwest cropping systems. It ensures data transparency and provides real-time irrigation strategies to enhance productivity.
This innovative solution leverages AI and blockchain technologies to optimize water management in Midwest cropping systems, focusing on the western Corn Belt. By integrating existing sensor data with new deployments, the project creates a comprehensive AI-ready database that enhances understanding of crop-water-weather interactions. This platform ensures data transparency and traceability, offering farmers reliable tools to manage water resources efficiently while maintaining high productivity.
Currently at TRL 3, this technology is in the early stages of development, with initial validation planned through a two-phase framework. Phase 1 involves data consolidation and sensor deployment, while Phase 2 focuses on developing optimization models and heuristic algorithms for practical application.
Arizona State University is a comprehensive public research university with a multi-campus presence across the Phoenix metropolitan area and a scale that supports interdisciplinary, use-inspired discovery. Industry partners access co-located laboratories, a research and technology park, and innovation centers that house corporate teams with faculty to speed prototyping and validation. A formal alliance with a major hospital system and proximity to a fast-growing manufacturing corridor enable clinical translation and pilot-scale testbeds, while applied student engagements create dependable talent pipelines. Research is backed by competitive federal funding from agencies such as NSF, NIH, DOE, DOD, and NASA. A dedicated technology transfer office supports IP, licensing, and startup formation.