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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
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
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.
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.
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
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
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
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
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.
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
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
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 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.
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
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 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.
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
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
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.
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
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
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
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 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