Items where Subject is "Others > South Asia"

CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud. GIScience & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603

CGIAR Research Program on Dryland Systems

Kumar, S and Craufurd, P and Haileslassie, A and Ramilan, T and Rathore, A and Whitbread, A M (2019) Farm typology analysis and technology assessment: An application in an arid region of South Asia. Land Use Policy (TSI), 88. pp. 1-14. ISSN 02648377

CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC)

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud. GIScience & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603

Kumar, S and Craufurd, P and Haileslassie, A and Ramilan, T and Rathore, A and Whitbread, A M (2019) Farm typology analysis and technology assessment: An application in an arid region of South Asia. Land Use Policy (TSI), 88. pp. 1-14. ISSN 02648377

Varshney, R K and Ojiewo, C O and Monyo, E (2019) A decade of Tropical Legumes projects: Development and adoption of improved varieties, creation of market-demand to benefit smallholder farmers and empowerment of national programmes in sub-Saharan Africa and South Asia. Plant Breeding (TSI), 138 (4). pp. 379-388. ISSN 01799541

CGIAR Research Program on Water, Land and Ecosystems (WLE)

Gumma, M K and Thenkabail, P S and Teluguntla, P G and Oliphant, A and Xiong, J and Giri, C and Pyla, V and Dixit, S and Whitbread, A M (2019) Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud. GIScience & Remote Sensing (TSI). pp. 1-21. ISSN 1548-1603