Browse by ICRISAT Creators

Acharya N. G. Ranga Agricultural University (ANGRAU), Lam, Andhra Pradesh

Gumma, M K and Kadiyala, M D M and Panjala, P and Ray, S S and Akuraju, V R and Dubey, S and Smith, A P and Das, R and Whitbread, A M (2021) Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing (TSI). ISSN 0255-660X

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

Panjala, P and Reddi, V R M and Gumma, M K and Deevi, K C and Gupta, S K (2023) Identifying prospects and potential areas for introducing pearl millet stress-tolerant cultivars in Rajasthan, India: A geospatial analysis. Smart Agricultural Technology, 6. pp. 1-10. ISSN 2772-3755

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)

Yamano, T and Gumma, M K and Panjala, P and Haq, N U and Fahad, M and Sato, N and Arif, B W and Saeed, U (2024) Applying Spatial Analysis to Assess Crop Damage: A Case Study of the Pakistan 2022 Floods. Working Paper. ADB publications, Philippines.

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 (San Jose)

Panjala, P and Gumma, M K and Teluguntla, P (2021) Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping. In: Data Science in Agriculture and Natural Resource Management. Studies in Big Data, 96 . Springer, Singapore, pp. 161-180. ISBN 2197-6503

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

Bay Area Environmental Research Institute(Moffett Field)

Park, T and Gumma, M K and Wang, W and Panjala, P and Dubey, S K and Nemani, R R (2023) Greening of human-dominated ecosystems in India. Communications Earth & Environment, 4. pp. 1-11. ISSN 2662-4435

Bayero University (Kano)

Panjala, P and Gumma, M K and Ajeigbe, H A and Badamasi, M M and Deevi, K C and Tabo, R (2022) Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning. International Journal o f Geo-Information, 11. 01-17. ISSN 2220-9964

Centurion University of Technology and Management(Odisha)

Mandapati, R and Gumma, M K and Metuku, D R and Bellam, P K and Panjala, P and Maitra, S and Maila, N (2023) 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. AgriEngineering, 5 (4). pp. 1909-1924. ISSN 2624-7402

Directorate of Agriculture & Food Production, Govt of Odisha, Bhubaneswar, Odisha

Gumma, M K and Kadiyala, M D M and Panjala, P and Ray, S S and Akuraju, V R and Dubey, S and Smith, A P and Das, R and Whitbread, A M (2021) Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing (TSI). ISSN 0255-660X

ICRISAT (Ethiopia)

Gumma, M K and Desta, G and Amede, T and Panjala, P and Smith, A P and Kassawmar, T and Tummala, K and Zeleke, G and Whitbread, A M (2021) Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia. International Journal of Environmental Science and Technology (TSI). ISSN 1735-1472

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 Ray, S S and Akuraju, V R and Dubey, S and Smith, A P and Das, R and Whitbread, A M (2021) Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing (TSI). ISSN 0255-660X

Gumma, M K and Desta, G and Amede, T and Panjala, P and Smith, A P and Kassawmar, T and Tummala, K and Zeleke, G and Whitbread, A M (2021) Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia. International Journal of Environmental Science and Technology (TSI). ISSN 1735-1472

Murali Krishna, G and Panjala, P and Ismail, M and Pyla, V (2020) Crop type mapping using high-resolution Sentinel-2 Satellite Data– A case study on Gujarat State. Project Report. ICRISAT.

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.

ICRISAT (Tanzania)

Gumma, M K and Kadiyala, M D M and Panjala, P and Ray, S S and Akuraju, V R and Dubey, S and Smith, A P and Das, R and Whitbread, A M (2021) Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing (TSI). ISSN 0255-660X

Gumma, M K and Desta, G and Amede, T and Panjala, P and Smith, A P and Kassawmar, T and Tummala, K and Zeleke, G and Whitbread, A M (2021) Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia. International Journal of Environmental Science and Technology (TSI). ISSN 1735-1472

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

Panjala, P and Gumma, M K and Ajeigbe, H A and Badamasi, M M and Deevi, K C and Tabo, R (2022) Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning. International Journal o f Geo-Information, 11. 01-17. ISSN 2220-9964

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(Nigeria)

Panjala, P and Gumma, M K and Ajeigbe, H A and Badamasi, M M and Deevi, K C and Tabo, R (2022) Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning. International Journal o f Geo-Information, 11. 01-17. ISSN 2220-9964

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 Panjala, P and Teluguntla, P (2024) Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method. International Journal of Digital Earth, 17 (1). pp. 1-18. ISSN 1753-8947

Yamano, T and Gumma, M K and Panjala, P and Haq, N U and Fahad, M and Sato, N and Arif, B W and Saeed, U (2024) Applying Spatial Analysis to Assess Crop Damage: A Case Study of the Pakistan 2022 Floods. Working Paper. ADB publications, Philippines.

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

Panjala, P and Reddi, V R M and Gumma, M K and Deevi, K C and Gupta, S K (2023) Identifying prospects and potential areas for introducing pearl millet stress-tolerant cultivars in Rajasthan, India: A geospatial analysis. Smart Agricultural Technology, 6. pp. 1-10. ISSN 2772-3755

Park, T and Gumma, M K and Wang, W and Panjala, P and Dubey, S K and Nemani, R R (2023) Greening of human-dominated ecosystems in India. Communications Earth & Environment, 4. pp. 1-11. ISSN 2662-4435

Mandapati, R and Gumma, M K and Metuku, D R and Bellam, P K and Panjala, P and Maitra, S and Maila, N (2023) 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. AgriEngineering, 5 (4). pp. 1909-1924. ISSN 2624-7402

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

Panjala, P and Gumma, M K and Ajeigbe, H A and Badamasi, M M and Deevi, K C and Tabo, R (2022) Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning. International Journal o f Geo-Information, 11. 01-17. ISSN 2220-9964

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

Panjala, P and Gumma, M K and Teluguntla, P (2021) Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping. In: Data Science in Agriculture and Natural Resource Management. Studies in Big Data, 96 . Springer, Singapore, pp. 161-180. ISBN 2197-6503

Independent Consultant(Pakistan)

Yamano, T and Gumma, M K and Panjala, P and Haq, N U and Fahad, M and Sato, N and Arif, B W and Saeed, U (2024) Applying Spatial Analysis to Assess Crop Damage: A Case Study of the Pakistan 2022 Floods. Working Paper. ADB publications, Philippines.

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

Mahabalonis Crop Forecasting Center(New Delhi)

Park, T and Gumma, M K and Wang, W and Panjala, P and Dubey, S K and Nemani, R R (2023) Greening of human-dominated ecosystems in India. Communications Earth & Environment, 4. pp. 1-11. ISSN 2662-4435

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 (MNCFC), Ministry of Agriculture, Delhi

Gumma, M K and Kadiyala, M D M and Panjala, P and Ray, S S and Akuraju, V R and Dubey, S and Smith, A P and Das, R and Whitbread, A M (2021) Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India. Journal of the Indian Society of Remote Sensing (TSI). ISSN 0255-660X

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

NASA Ames Research Center(Moffett Field)

Park, T and Gumma, M K and Wang, W and Panjala, P and Dubey, S K and Nemani, R R (2023) Greening of human-dominated ecosystems in India. Communications Earth & Environment, 4. pp. 1-11. ISSN 2662-4435

NASA Ames Research Park(Moffett Field)

Gumma, M K and Panjala, P and Teluguntla, P (2024) Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method. International Journal of Digital Earth, 17 (1). pp. 1-18. ISSN 1753-8947

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 (Flagstaff)

Panjala, P and Gumma, M K and Teluguntla, P (2021) Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping. In: Data Science in Agriculture and Natural Resource Management. Studies in Big Data, 96 . Springer, Singapore, pp. 161-180. ISBN 2197-6503

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 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

Water and Land Resource Center, Addis Ababa, Ethiopia

Gumma, M K and Desta, G and Amede, T and Panjala, P and Smith, A P and Kassawmar, T and Tummala, K and Zeleke, G and Whitbread, A M (2021) Assessing the impacts of watershed interventions using ground data and remote sensing: a case study in Ethiopia. International Journal of Environmental Science and Technology (TSI). ISSN 1735-1472

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