Dynamic mapping of crop type and croplands is one of the most important geospatial data science applications in agriculture. In this webinar, Murali Krishna Gumma (ICRISAT) kindly agreed to present us the overview of his croplands mapping work using satellite remote sensing, an extensive collection of ground referencing data, and machine learning algorithms. Don't miss this opportunity to hear all the exciting research updates directly from him and discuss how he's collecting data and continue his research under COVID19.