A low-cost, phone-based hyperspectral imaging system to assess soil and crop nutrients in real-time. This tool uses AI to convert images into hyperspectral data, offering farmers an easy, non-destructive way to monitor nutrient levels, supporting sustainable agriculture.
The AI-enhanced hyperspectral phone sensor is a revolutionary tool designed to transform how farmers monitor and assess soil and crop nutrition. By leveraging a compact photonic spectrometer attached to a smartphone, this system enables real-time, non-invasive nutrient analysis from simple photographs. The technology empowers farmers with rapid, quantitative insights into nutrient content and crop health, eliminating the need for traditional, time-consuming lab analyses. This scalable solution supports data-driven, climate-resilient agricultural practices, helping farmers optimize soil fertility and crop nutrition from planting to harvest.
Currently at Technology Readiness Level 3, this technology has undergone initial design and fabrication. Phase 1 includes integrating the photonic encoder with a commercial camera and establishing baseline nutrient correlations. Future phases involve field testing and app development for broader deployment.
Washington University in St. Louis is a private research university with a large graduate and professional footprint and a major clinical enterprise. Its medical campus is integrated with a leading hospital system, enabling joint clinical research, secure data access, and large-scale trial recruitment. An adjacent innovation district and partner incubators provide flexible lab space, prototyping resources, and corporate co-location, while shared core facilities welcome external users under service agreements. Research is supported by NIH, NSF, DOE, and other competitive federal funding alongside industry sponsorship. A dedicated technology transfer office manages IP, licensing, startup formation, and streamlined sponsored research and clinical trial agreements.