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Greg Emerick is a technology innovator with over 14 years of experience applying remote sensing to real-world challenges in agriculture, conservation, and infrastructure. He holds a degree in Aviation from St. Cloud State University. He is the inventor of a U.S. patent that utilizes multispectral imaging and machine learning to enhance perennial crop production. At the helm of Simple Business Automation (SBA) for over three years, Greg leads a team specializing in machine learning and computer vision. His mission is to craft technical solutions that align with customer goals, delivering software and machine-learning tools that produce a double bottom line of cost-efficiencies and a positive ecological impact.
As the founder of POLLi, Greg has developed an AI-powered platform purpose-built for vegetation monitoring and habitat management. POLLi classifies land cover, detects beneficial and invasive species, and produces treatment maps for targeted interventions, reducing herbicide use while advancing ecological restoration. Each model is built and validated in close collaboration with industry users and scientific partners, ensuring that land stewards, utilities, and environmental professionals receive accurate and actionable insights.
By Tyler Reiss5
1414 ratings
Greg Emerick is a technology innovator with over 14 years of experience applying remote sensing to real-world challenges in agriculture, conservation, and infrastructure. He holds a degree in Aviation from St. Cloud State University. He is the inventor of a U.S. patent that utilizes multispectral imaging and machine learning to enhance perennial crop production. At the helm of Simple Business Automation (SBA) for over three years, Greg leads a team specializing in machine learning and computer vision. His mission is to craft technical solutions that align with customer goals, delivering software and machine-learning tools that produce a double bottom line of cost-efficiencies and a positive ecological impact.
As the founder of POLLi, Greg has developed an AI-powered platform purpose-built for vegetation monitoring and habitat management. POLLi classifies land cover, detects beneficial and invasive species, and produces treatment maps for targeted interventions, reducing herbicide use while advancing ecological restoration. Each model is built and validated in close collaboration with industry users and scientific partners, ensuring that land stewards, utilities, and environmental professionals receive accurate and actionable insights.