Corteva
Parmita Ghosh is a Remote Sensing Data Scientist at Corteva Agriscience, leading the rice digital solution portfolio for the Asia Pacific Region since July 2019, focusing on water-saving cultivation practices and pest risk prediction through machine learning and remote sensing technologies. Additional experience includes a guest scientist role at the Thünen Institute, where a feasibility study was conducted on greenhouse gas emission estimation for rice, and a position as a DAAD Young Ambassador promoting education in Germany. Academic credentials include an MTech in Geoinformatics and Natural Resources Engineering from the Indian Institute of Technology, Bombay, and a BTech in Agricultural Engineering from Central Agricultural University. Notable projects involve automated crop mapping and yield estimation models developed during collaborations with organizations such as ICRISAT and Technische Universität Darmstadt.
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