Dr Murali Krishna Gumma is Cluster Leader and Principal Scientist: Geospatial & Big Data Sciences and Head of Remote Sensing/Geographic Information System unit with ICRISAT, working across Asia and Africa. Dr Gumma is also Science and Data Lead for SERVIR West Africa Phase II supporting AGRHYMET and partners in improving awareness and access to geospatial data, products, and tools through appropriate platforms. Prior to this, Dr Gumma was a Remote Sensing Specialist and PDF at IRRI and a project scientist with IWMI. Dr Gumma has over 23 years’ experience in remote sensing and geographic information systems and their application to agriculture, wetlands, river basin management, natural resource management, water resources, forests, sustainable development, and environmental studies. Dr Gumma's work experience spans over 35 countries spread across Asia and Africa. Dr Gumma is currently working on Monitoring croplands and natural resources using Earth observation data and Machine learning algorithms; Typology of crop production environments to identify factors causing yield gaps and classifying those areas with spatial data; Identification of hotspots and endemic areas based on disease and pest dynamics in space and time and related epidemiology with the help of geo-spatial techniques; IOT-based platforms and high-resolution remote sensing imagery to link proximal field phenotype; Crop stresses and biophysical parameters extraction using Multispectral, Hyperspectral image analysis and spectral matching techniques; Crop yield prediction using technology and different algorithms considering various parameters like weather, soil and crop management data; Historical climate change analysis and forecasting the changes that affects the crop conditions (crop rotation, crop intensity); Conducting impact assessment studies using Geospatial analysis and supporting multidisciplinary teams across ICRISAT using multi-resolution remote sensing and GIS spatial modelling.
My expertise: Remote sensing and geographic information systems