CarbonFarm
Daria Preda is a Research Engineer at CarbonFarm since July 2023, focusing on leveraging machine learning for sustainable agriculture, particularly in identifying rice fields from satellite data and forecasting yields. Prior experience includes a role as a Software Engineer on the CubeSat Mission at PoliSpace from December 2022 to July 2023, and participation in the Romanian Space Initiative as a On Board Computer and Data Handling Team Member from October 2020 to July 2022. Earlier, Daria worked as a Junior Embedded C Developer for Thales Alenia Space from July 2020 to April 2021. Educationally, Daria Preda holds a Master of Science in Computer Science and Engineering from Politecnico di Milano, set to graduate in December 2023, and a Bachelor's degree in Computer Science Engineering from the University POLITEHNICA of Bucharest, completed in July 2021.
CarbonFarm
By 2050, the world needs to reach net-zero emissions. Today, agriculture is responsible for 20% of global greenhouse gas emissions. Reducing these emissions is important and carbon investors are willing to pay farmers to do so. But this requires transparency. Transparency over the methods farmers are employing, transparency over the emissions they produce. CarbonFarm is using satellite data and artificial intelligence to provide this transparency.