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 3, 2024
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, Mapping end date of crop fallows in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/9B5PAP, MELDATA, V3
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Sep 3, 2024
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, Mapping start date of the crop fallows in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/7QRGVG, MELDATA, V2
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Aug 28, 2024
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, length of crop fallows duration between two crops in one year in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/FYTDWG, MELDATA, V6
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Jun 21, 2024
Atassi, Layal; El-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, V4
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...
Jun 21, 2024
Atassi, Layal; El-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2015", https://hdl.handle.net/20.500.11766.1/FK2/GX5B7F, MELDATA, V3
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...
Jun 21, 2024
Atassi, Layal; El-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2015", https://hdl.handle.net/20.500.11766.1/FK2/BAJANA, MELDATA, V4
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...
Jun 21, 2024
Atassi, Layal; El-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016", https://hdl.handle.net/20.500.11766.1/FK2/CS0SOE, MELDATA, V4
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...
Jun 21, 2024
Atassi, Layal; El-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014", https://hdl.handle.net/20.500.11766.1/FK2/V7YTW3, MELDATA, V4
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...
Jun 20, 2024
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Cotton Yield Map (Pixel Based), 2010", https://hdl.handle.net/20.500.11766.1/FK2/1PJUNL, MELDATA, V2
Yield map for cotton in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Jun 20, 2024
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Rice Yield Map (Pixel Based), 2012", https://hdl.handle.net/20.500.11766.1/FK2/ZYHJSH, MELDATA, V2
Yield map (Pixel based) for rice paddy in Fergana valley, Uzbekistan in 2012. The map is part of a series on crop distribution from 2004 to 2015.
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