Peter Fogh
I work as a data scientist at SEGES, where I develop artificial intelligence solutions for the agricultural community in Denmark. My work concerns the development of systems for decision support and automation in many aspects of farming, for instance, management of crops, animals, environment, finances, and legal cases. You are welcome to contact me if you have any interest in applying machine learning to data regarding agriculture, farming, or animals.
LinkedIn: https://www.linkedin.com/in/peter-fogh/
Talks
Crop yield prognosis using ML and EO data
SEGES, a Danish agricultural knowledge and innovation centre, developed and productionized in 2020 a crop yield prognosis model. We present the utilized ML methods, EO data, de-facto Python GIS packages, experiment results, and DevOps solutions.