The advent of big data, which incorporates geo- informatics, remote sensing, and the large volumes of data being generated by technological advances in genomics, will revolutionize the way we work in the future. The use of this information to increase research efficiencies and decision-making, from the farm level to the policy level, is beginning to take place. Using big data in an effective manner will be a key element in addressing the challenges facing research programs and dry areas as a whole. We intend to capitalize on big data to the benefit of our breeding programs, thereby ensuring a continuous supply of improved varieties to smallholder farmers. We will also build digital platforms to generate maps of crop productivity and water consumption in near real time, which can be used for water accounting and agro-ecosystem assessment. In order to make full use of big data and ICT, we will partner with other CGIAR centers, CGIAR Research Programs (CRPs), ARIs, and the public and private sectors. ICARDA’s geo-informatics research focuses on knowledge-based prioritization of agricultural landscapes for improved interventions, implementation, and impacts through the use of multi-sensor, multi-scale observations of agro-ecosystem productivity, resource use efficiency, land potential, and associated drivers to assist addressing issues related to food and nutritional security, natural resource management, and resilience. We will develop advanced analytics (machine learning, artificial intelligence) for research, development, and outreach in collaboration with research programs, partners, collaborators, and citizen science. We will support the work in the SRPs by working on quantification of yield gaps and land potential for better targeting developmental interventions towards bridging the yield gaps in dry areas.
ICARDA Strategic Plan 2017 - 2026: https://dx.doi.org/20.500.11766/8237
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1 to 10 of 112 Results
Sep 1, 2025
Feger, Sebastian; Pertiwi, Cininta; Bonaiuti, Enrico, 2021, "Study I - Research Data Management Questionnaire Responses", https://hdl.handle.net/20.500.11766.1/FK2/REFFD7, MELDATA, V7
The dataset contains the responses to a questionnaire on Research Data Management (RDM) practices collected at ICARDA/CGIAR level. The survey was conducted in 2020/2021.
Aug 30, 2025
Kosimov, Sherzod, 2015, "Spatial data from Fergana valley", https://hdl.handle.net/20.500.11766.1/FK2/IQEHTS, MELDATA, V4
This dataset contains information about soil in specific locations in the Fergana Valley in Uzbekistan. It also includes related images of land cover and soil information of the area.
Aug 30, 2025
Kosimov, Sherzod, 2015, "Spatial data from Aral Sea region on canals, roads, drainage, crop fields and wells", https://hdl.handle.net/20.500.11766.1/FK2/ICTJMI, MELDATA, V6
The dataset is composed by six shape files containing spatial data of the Aral Sea region including canals, crop fields, drainage, road lines, and wells
Aug 30, 2025
Kosimov, Sherzod, 2015, "Soil sampling points in Fergana valley and Sogd", https://hdl.handle.net/20.500.11766.1/FK2/AEFLE7, MELDATA, V2
Soil sampling points in Fergana valley and Sogd, CRP WUE activities 2015
Aug 30, 2025
Biradar, Chandrashekhar; Atassi, Layal; Oweis, Theib; Haddad, Mira, 2017, "Agricultural water productivity for rainfed areas in 2002", https://hdl.handle.net/20.500.11766.1/D1D3GI, MELDATA, V8
The dataset contains one of the layers produced for “Supporting Coordination and Cooperation in Water Management in the Euphrates and Tigris Area CPET” project. The project aims to assess the status of water use in agriculture in the Euphrates-Tigress basin, determine and map the...
Aug 30, 2025
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2010", https://hdl.handle.net/20.500.11766.1/FK2/PLZYZI, MELDATA, V8
Yield map for cotton in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Aug 30, 2025
Atassi, Layal; Al-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014", https://hdl.handle.net/20.500.11766.1/FK2/SFF71X, MELDATA, V10
The layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The tra...
Aug 30, 2025
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2005", https://hdl.handle.net/20.500.11766.1/FK2/NVRXBF, MELDATA, V8
Yield map for winter wheat in Fergana valley, Uzbekistan in 2005. The map is part of a series on crop distribution from 2004 to 2015.
Aug 30, 2025
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly maximum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/YW2EPD, MELDATA, V6
Central Asia and North-West China (Xingjiang province) relative change in annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Aug 30, 2025
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Cotton Yield Map (Pixel Based), 2012", https://hdl.handle.net/20.500.11766.1/FK2/NZ7ZGH, MELDATA, V5
Yield map for cotton in Fergana valley, Uzbekistan in 2012. The map is part of a series on crop distribution from 2004 to 2015.
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