| Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and … MK Gumma, PS Thenkabail, P Panjala, P Teluguntla, T Yamano, ... GIScience & Remote Sensing 59 (1), 1048-1077, 2022 | 26 | 2022 |
| Crop dominance mapping with IRS-P6 and MODIS 250-m time series data MK Gumma, KR Pyla, PS Thenkabail, VM Reddi, G Naresh, ... Agriculture 4 (2), 113-131, 2014 | 23 | 2014 |
| Mapping direct seeded rice in Raichur district of Karnataka, India MK Gumma, D Uppala, IA Mohammed, AM Whitbread, IR Mohammed Photogrammetric Engineering & Remote Sensing 81 (11), 873-880, 2015 | 21 | 2015 |
| Assessment of cropland changes due to new canals in Vientiane prefecture of Laos using earth observation data MK Gumma, Y Takashi, P Panjala, KC Deevi, V Inthavong, PK Bellam, ... Smart Agricultural Technology 4, 100149, 2023 | 2 | 2023 |
| Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms MK Gumma, P Panjala, KC Deevi, PK Bellam, V Dheeravath, ... Geocarto International 38 (1), 2186493, 2023 | 1 | 2023 |
| Mapping shrimp pond dynamics: a spatiotemporal study using remote sensing data and machine learning PK Bellam, MK Gumma, P Panjala, I Mohammed, A Suzuki AgriEngineering 5 (3), 1432-1447, 2023 | 1 | 2023 |
| Land use and agricultural change dynamics in SAT watersheds of southern India IM Ahmed, MK Gumma, S Kumar, P Craufurd, IM Rafi, A Haileslassie Current Science, 1704-1709, 2016 | 1 | 2016 |
| Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms MK Gumma, RM Nukala, P Panjala, PK Bellam, S Gajjala, SK Dubey, ... AgriEngineering 6 (1), 786-802, 2024 | | 2024 |
| A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale A Owusu, S Kagone, M Leh, NM Velpuri, MK Gumma, B Ghansah, ... International Journal of Applied Earth Observation and Geoinformation 126 …, 2024 | | 2024 |
| Assessment of Cropland Changes in New Irrigation and Flood Embankment Infrastructure in Vientiane, Lao PDR V Inthavong, T Yamano, MK Gumma, M Irshad, P Panjala, PK Bellam, ... ADB: Asian Development Bank, 2023 | | 2023 |
| Assessing Spatiotemporal differences in Shrimp ponds using Remote sensing data and Machine learning algorithms PK Bellam, MK Gumma, P Panjala, A Suzuki, I Mohammed | | 2023 |
| Strengthening Food Security Post-COVID-19 and Locust Attacks: Supporting crop insurance in Pakistan MK Gumma, P Panjala, I Mohammed, V Pyla, P Bellam ICRISAT, 2022 | | 2022 |
| TA 6663-PAK: strengthening food security post-COVID-19 and locust attacks MK Gumma, R Mandapati, P Bellam, P Panjala, I Mohammed Strengthening Food Security Post COVID-19 and Locust Attacks| 2021. 16 pp. 5 …, 2021 | | 2021 |
| Strengthening Food Security Post-COVID-19 and Locust Attacks MK Gumma, P Panjala, I Mohammed, V Pyla, P Bellam ICRISAT, 2021 | | 2021 |
| Pilot studies on GP Crop yield estimation using Technology (Kharif 2019) using SENTINEL-2 satellite data (in Andhra Pradesh, Telangana and Odisha States (Five Districts)) for … MK Gumma, MDM Kadiyala, P Panjala, I Mohammed ICRISAT, 2020 | | 2020 |
| Crop type mapping using high-resolution Sentinel-2 Satellite Data–A case study on Gujarat State MK Gumma, P Panjala, I Mohammed, V Pyla | | |
| A Framework for Distinguishing Rainfed and Irrigated Lands at Continental Scale A Owusu, MD Leh, NM Velpuri, MK Gumma, P Thilina-Prabhath, ... AGU23, 0 | | |
Murali Krishna GummaPrincipal Scientist &Cluster Leader – Geospatial Sciences and Big Data at ICRISAT (IRRI, IWMI, JNTU)Adresse e-mail validée de cgiar.org
