Browse by ICRISAT Creators

Acharya NG Ranga Agricultural University(Guntur)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Andhra University(Visakhapatnam)

Gumma, M K and Nukala, R M and Panjala, P and Bellam, P K and Gajjala, S and Dubey, S K and Sehgal, V K and Mohammed, I and Deevi, K C (2024) Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering, 6 (1). pp. 786-802. ISSN 2624-7402

Asian Development Bank (Manila)

Gumma, M K and Takashi, Y and Panjala, P and Deevi, K C and Inthavong, V and Bellam, P K and Mohammed, I (2022) Assessment of Cropland Changes Due to New Canals in Vientiane Prefecture of Laos using Earth Observation Data. Smart Agricultural Technology, 4. 01-11. ISSN 2772-3755

Asian Development Bank(Dhaka)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Asian Development Bank(Manila)

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226

Bay Area Environmental Research Institute(CA)

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226

ICRISAT (Lilongwe)

Gumma, M K and Tsusaka, T W and Mohammed, I and Chavula, G and Ganga Rao, N V P R and Okori, P and Ojiewo, C O and Varshney, R K and Siambi, M and Whitbread, A M (2019) Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems. Remote Sensing (TSI), 11(12) (1475). pp. 1-23. ISSN 2072-4292

ICRISAT (Patancheru)

Gumma, M K and Panjala, P and Mohammed, I and Pyla, V and Bellam, P (2022) Strengthening Food Security Post-COVID-19 and Locust Attacks: Supporting crop insurance in Pakistan. Project Report. ICRISAT, Hyderabad.

Gumma, M K and Panjala, P and Mohammed, I and Pyla, V and Bellam, P (2021) Strengthening Food Security Post-COVID-19 and Locust Attacks. Project Report. ICRISAT, Hyderabad.

Gumma, M K and Kadiyala, M D M and Panjala, P and Mohammed, I (2020) 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 Groundnut, Chickpea, Maize and Rice. Project Report. ICRISAT, Patancheru, India.

Gumma, M K and Tsusaka, T W and Mohammed, I and Chavula, G and Ganga Rao, N V P R and Okori, P and Ojiewo, C O and Varshney, R K and Siambi, M and Whitbread, A M (2019) Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems. Remote Sensing (TSI), 11(12) (1475). pp. 1-23. ISSN 2072-4292

Gumma, M K and Kumara Charyulu, D and Mohammed, I and Varshney, R K and Gaur, P M and Whitbread, A M (2016) Satellite imagery and household survey for tracking chickpea adoption in Andhra Pradesh, India. International Journal of Remote Sensing, 37 (08). pp. 1955-1972. ISSN 1366-5901

ICRISAT(Niger)

Bellam, P K and Gumma, M K and Panjala, P and Mohammed, I and Suzuki, A (2023) Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning. AgriEngineering, 5 (3). pp. 1432-1447. ISSN 2624-7402

Gumma, M K and Takashi, Y and Panjala, P and Deevi, K C and Inthavong, V and Bellam, P K and Mohammed, I (2022) Assessment of Cropland Changes Due to New Canals in Vientiane Prefecture of Laos using Earth Observation Data. Smart Agricultural Technology, 4. 01-11. ISSN 2772-3755

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226

ICRISAT(Patancheru)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Gumma, M K and Nukala, R M and Panjala, P and Bellam, P K and Gajjala, S and Dubey, S K and Sehgal, V K and Mohammed, I and Deevi, K C (2024) Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering, 6 (1). pp. 786-802. ISSN 2624-7402

Owusu, A and Kagone, S and Leh, M and Velpuri, N M and Gumma, M K and Ghansah, B and Thilina-Prabhath, P and Akpoti, K and Mekonnen, K and Tinonetsana, P and Mohammed, I (2023) A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126. pp. 1-15. ISSN 1569-8432

Bellam, P K and Gumma, M K and Panjala, P and Mohammed, I and Suzuki, A (2023) Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning. AgriEngineering, 5 (3). pp. 1432-1447. ISSN 2624-7402

Gumma, M K and Panjala, P and Deevi, K C and Bellam, P K and Dheeravath, V and Mohammed, I (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. Geocarto International, 38 (1). 01-19. ISSN 1010-6049

Gumma, M K and Takashi, Y and Panjala, P and Deevi, K C and Inthavong, V and Bellam, P K and Mohammed, I (2022) Assessment of Cropland Changes Due to New Canals in Vientiane Prefecture of Laos using Earth Observation Data. Smart Agricultural Technology, 4. 01-11. ISSN 2772-3755

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226

IWMI(Accra)

Owusu, A and Kagone, S and Leh, M and Velpuri, N M and Gumma, M K and Ghansah, B and Thilina-Prabhath, P and Akpoti, K and Mekonnen, K and Tinonetsana, P and Mohammed, I (2023) A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126. pp. 1-15. ISSN 1569-8432

IWMI(Addis Ababa)

Owusu, A and Kagone, S and Leh, M and Velpuri, N M and Gumma, M K and Ghansah, B and Thilina-Prabhath, P and Akpoti, K and Mekonnen, K and Tinonetsana, P and Mohammed, I (2023) A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126. pp. 1-15. ISSN 1569-8432

IWMI(Colombo)

Owusu, A and Kagone, S and Leh, M and Velpuri, N M and Gumma, M K and Ghansah, B and Thilina-Prabhath, P and Akpoti, K and Mekonnen, K and Tinonetsana, P and Mohammed, I (2023) A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126. pp. 1-15. ISSN 1569-8432

Indian Agricultural Research Institute(New Delhi)

Gumma, M K and Nukala, R M and Panjala, P and Bellam, P K and Gajjala, S and Dubey, S K and Sehgal, V K and Mohammed, I and Deevi, K C (2024) Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering, 6 (1). pp. 786-802. ISSN 2624-7402

Mahalanobis National Crop Forecast Centre

Gumma, M K and Kadiyala, M D M and Panjala, P and Mohammed, I (2020) 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 Groundnut, Chickpea, Maize and Rice. Project Report. ICRISAT, Patancheru, India.

Mahalanobis National Crop Forecast Centre(New Delhi)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Gumma, M K and Nukala, R M and Panjala, P and Bellam, P K and Gajjala, S and Dubey, S K and Sehgal, V K and Mohammed, I and Deevi, K C (2024) Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering, 6 (1). pp. 786-802. ISSN 2624-7402

The University of Tokyo(Tokyo)

Bellam, P K and Gumma, M K and Panjala, P and Mohammed, I and Suzuki, A (2023) Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning. AgriEngineering, 5 (3). pp. 1432-1447. ISSN 2624-7402

U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center(Sioux Falls)

Owusu, A and Kagone, S and Leh, M and Velpuri, N M and Gumma, M K and Ghansah, B and Thilina-Prabhath, P and Akpoti, K and Mekonnen, K and Tinonetsana, P and Mohammed, I (2023) A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126. pp. 1-15. ISSN 1569-8432

UN World Food Pragramme (Manila)

Gumma, M K and Panjala, P and Deevi, K C and Bellam, P K and Dheeravath, V and Mohammed, I (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. Geocarto International, 38 (1). 01-19. ISSN 1010-6049

University of Malawi (Blantyre)

Gumma, M K and Tsusaka, T W and Mohammed, I and Chavula, G and Ganga Rao, N V P R and Okori, P and Ojiewo, C O and Varshney, R K and Siambi, M and Whitbread, A M (2019) Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems. Remote Sensing (TSI), 11(12) (1475). pp. 1-23. ISSN 2072-4292

University of Minnesota(St. Paul)

Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292

Western Geographic Science Center U(Arizona)

Gumma, M K and Thenkabail, P S and Panjala, P and Teluguntla, P and Yamano, T and Mohammed, I (2022) 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 spectral matching techniques (SMTs) in support of food and water security. GIScience & Remote Sensing, 59 (1). pp. 1048-1077. ISSN 1943-7226