The Field Boundaries for Agriculture Initiative is advancing the methodologies to create, share and update datasets containing field boundaries for increased understanding of sustainable global agricultural systems. To that end, the project is seeding progress in AI and computer vision models to extract field boundaries from earth observation imagery. In parallel, we are outlining a framework for publishing data in the cloud for open, collaborative use to reduce the common resource drain asso...| Taylor Geospatial Engine
As we have written recently, Taylor Geospatial Engine (TGE) created the Innovation Bridge framework to accelerate the commercialization of geospatial research. Our first Innovation Bridge initiative aims to expand and mature the market for applications of AI and ML systems on earth observation imagery. We believe this will help unlock the innovation potential of geospatial data in understanding global food security and sustainability.| Taylor Geospatial Engine
Following our last blog post outlining Taylor Geospatial Engine’s (TGE) Innovation Bridge program, we are pleased to now share details about our first initiative. As a reminder, the Innovation Bridge Program is intended to facilitate and accelerate the process of commercializing geospatially-centered research and development projects and prototypes. Our process framework is centered around engaging a broad set of experts and stakeholders to:| Taylor Geospatial Engine
An introduction to the fiboa (Field Boundaries for Agriculture) core specification and extensions.| cloudnativegeo.org