| 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 | 51 | 2022 |
| Assimilation of remote sensing data into crop growth model for yield estimation: A case study from India MK Gumma, MDM Kadiyala, P Panjala, SS Ray, VR Akuraju, S Dubey, ... Journal of the Indian Society of Remote Sensing 50 (2), 257-270, 2022 | 45 | 2022 |
| Assessing potential locations for flood-based farming using satellite imagery: a case study of Afar region, Ethiopia MK Gumma, T Amede, M Getnet, B Pinjarla, P Panjala, G Legesse, ... Renewable Agriculture and Food Systems 37 (S1), S28-S42, 2022 | 28 | 2022 |
| Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia MK Gumma, G Desta, T Amede, P Panjala, AP Smith, T Kassawmar, ... International journal of environmental science and technology 19 (3), 1653-1670, 2022 | 22 | 2022 |
| Machine learning approaches and sentinel-2 data in crop type mapping P Panjala, MK Gumma, P Teluguntla Data science in agriculture and natural resource management, 161-180, 2022 | 17 | 2022 |
| 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 | 7 | 2023 |
| Greening of human-dominated ecosystems in India T Park, MK Gumma, W Wang, P Panjala, SK Dubey, RR Nemani Communications earth & environment 4 (1), 419, 2023 | 7 | 2023 |
| Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning P Panjala, MK Gumma, HA Ajeigbe, MM Badamasi, KC Deevi, R Tabo ISPRS International Journal of Geo-Information 11 (8), 416, 2022 | 5 | 2022 |
| 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 | 4 | 2024 |
| 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 | 4 | 2023 |
| Data science in agriculture and natural resource management GPO Reddy, MS Raval, J Adinarayana, S Chaudhary Springer Nature, 2021 | 4 | 2021 |
| Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India R Mandapati, MK Gumma, DR Metuku, PK Bellam, P Panjala, S Maitra, ... AgriEngineering 5 (4), 1909-1924, 2023 | 3 | 2023 |
| Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method MK Gumma, P Panjala, P Teluguntla International Journal of Digital Earth 17 (1), 2378815, 2024 | 1 | 2024 |
| Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data MK Gumma, P Panjala, SK Dubey, DK Ray, CS Murthy, DM Kadiyala, ... Remote Sensing 16 (15), 2733, 2024 | 1 | 2024 |
| Mapping heterogeneous land use/land cover and crop types in Senegal using sentinel-2 data and machine learning algorithms. MK Gumma, P Panjala, P Teluguntla International Journal of Digital Earth 17 (1), 2024 | 1 | 2024 |
| Identifying prospects and potential areas for introducing pearl millet stress-tolerant cultivars in Rajasthan, India: A geospatial analysis P Panjala, VRM Reddi, MK Gumma, KC Deevi, SK Gupta Smart Agricultural Technology 6, 100374, 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 |
| Measuring and Influencing Behavior Change in Dietary Intake: Integrated Photovoice Approach in Nutrition Interventions in Eastern Kenya CM Mwema, C Wangari, S Anitha, C Muendo, S Nyaga, M Siambi, ... Ecology of Food and Nutrition 61 (2), 215-234, 2022 | 1 | 2022 |
| Geospatial analysis to identify millet suitable areas in the upland rice ecosystem of Odisha MK Gumma, P Panjala, SK Gupta, VK Sehgal, KC Deevi, AK Are, ... Journal of Agriculture and Food Research 19, 101593, 2025 | | 2025 |
| Author Correction: Greening of human-dominated ecosystems in India T Park, MK Gumma, W Wang, P Panjala, SK Dubey, RR Nemani Communications Earth & Environment 5 (1), 430, 2024 | | 2024 |
Murali Krishna GummaPrincipal Scientist &Cluster Leader – Geospatial Sciences and Big Data at ICRISAT (IRRI, IWMI, JNTU)Zweryfikowany adres z cgiar.org