Video: Day 1 Part 3: Training on Data Analysis and AI Application for ANR Projects in Cambodia Read more about Video: Day 1 Part 3: Training on Data Analysis and AI Application for ANR Projects in Cambodia This links to the webinar video of the Day 1 Part 3 of Training on Data Analysis and AI Application for ANR Projects in Cambodia learning event.
Video: Day 1 Part 2: Training on Data Analysis and AI Application for ANR Projects in Cambodia Read more about Video: Day 1 Part 2: Training on Data Analysis and AI Application for ANR Projects in Cambodia This links to the webinar video of the Day 1 Part 2 of Training on Data Analysis and AI Application for ANR Projects in Cambodia learning event.
Video: Day 1 Part 1: Training on Data Analysis and AI Application for ANR Projects in Cambodia Read more about Video: Day 1 Part 1: Training on Data Analysis and AI Application for ANR Projects in Cambodia This links to the webinar video of the Day 1 Part 1 of Training on Data Analysis and AI Application for ANR Projects in Cambodia learning event.
Mapping Rice Paddy Boundaries in Cambodia Read more about Mapping Rice Paddy Boundaries in Cambodia This presentation gives an overview on the methods used for the rice paddies mapping project in Cambodia.
Day 2: GeoML 101: Introductory Concepts for Machine Learning in Python Read more about Day 2: GeoML 101: Introductory Concepts for Machine Learning in Python This presentation gives an overview on the machine learning workflow and the relevance of computer vision and its geospatial applications.
Day 1: Use of Data Analysis and AI Application for ANR Sector Projects in Cambodia Read more about Day 1: Use of Data Analysis and AI Application for ANR Sector Projects in Cambodia This presentation gives an overview on the development of the machine learning model used in crop yield data estimation in Cambodia and the introduction to Geospatial Data Analysis.
Agtech III: ScanForm - Scalable Handwritten Data Collection for All Environments Read more about Agtech III: ScanForm - Scalable Handwritten Data Collection for All Environments This presentation gives an overview on the usage of ScanForm in collecting handwritten data at scale.
AgTech II: ScanSpectrum - Spectroscopy Made Portable, Affordable, and Adaptable Read more about AgTech II: ScanSpectrum - Spectroscopy Made Portable, Affordable, and Adaptable This presentation gives an overview on the use of ScanSpectrum to improve accuracy and data collection in spectroscopy.
AgTech I: Crop Mapping and Mobile Data Collection Read more about AgTech I: Crop Mapping and Mobile Data Collection This presentation gives an overview on the application of AI to mapping of cropland presence.
Mateusz Urbańczyk Keywords global health food security data analysis AI AI Application Read more about Mateusz Urbańczyk Mateusz Urbańczyk is a Software Architect at Quantitative Engineering Design (QED.ai), a mission-driven company working in global health and food security. He specializes in complex systems and end-to-end data processing pipelines for geospatial and medical data with over 7 years of experience. He finished his M.S. in Computer Science at the University of Wroclaw, with additional research studies at EPFL. Mateusz speaks Polish, English, Spanish and French. He has published research in pure mathematics, and has traveled for work across four continents.