MELDATA (International Center for Agricultural Research in the Dry Areas)
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Dataset of all measured parameter for ET-based irrigation scheduling for Aral Sea Basin site, Khorezm, Uzbekistan
No full textDataset of all measured parameters for ET-based irrigation scheduling for Aral Sea Basin site, Khorezm, Uzbekistan. Series of data is on winter wheat and cotton crops. Data collection occurred between 2014 and 2015
Major Land Use (key crops), 2014
No full textLand use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2014. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2014. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images (30 m and 6.5 m, respectively pixel size)
Major Land Use (key crops), 2012
No full textLand use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2012. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2012. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images (30 m and 6.5 m, respectively pixel size). The overall accuracy of this map is 85%
Undersowing Vetch in sorghum for intensifying existing production systems
No full textFinal dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researchers in charge for this trial (Alemu Tarekegn and Yengusie Demsew). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration
2016 Indicators for WLI - FTF Monitoring System
No full textThe dataset contains the values of the Feed the Future indicators for 2016, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Tunisia and Yemen
Determination of rate and timing of N application on bread wheat
No full textFinal dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial (Baye Ayalew). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration
Capacity development initiatives (farmer field school on SLM practices)
No full textThe datasets is a list of events of CACILM II, that took place in 2015. The dataset includes information such as the event type, location, participants (disaggregated by gender) and dates
Dataset of measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan
No full textDatasets of all measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan. Series of data is on winter wheat and cotton crops. Data collection occurred in 2015
Data Collected from Syria, Iraq, and Turkey, about Agricultural Statistics with Different Water Management Conditions
No full textAgricultural statistics data for the first four major crops have been collected from Syria, Iraq, and Turkey, countries collaborated for the "Supporting Coordination and Cooperation in Water Management in the Euphrates and Tigris Area". The data received for countries' district includes: crop name, cultivated area (ha), crop season (summer or winter crops), crop classification (irrigated, rainfed and supplemental), irrigation water source, planting and harvesting periods, crop intensity (no crop/season) – single or double crop, crop rotation, crop yield (weight/area) and crop market price ($/t). The data received refers for three years: 2002,2006, and 2008
Common Bunt Resistant Nursery
No full textThe dataset contains data from the COMMON BUNT RESISTANT NURSERY, as part of the International Nurseries for season 2016 of the International Winter Wheat Improvement Program Nursery data for Winter Facultative Wheat report for 2016. It provides genotypes disease reactions, selections by the breeders who conducted the trials in addition to the yield of the genotypes in the locations tested