| Title | Contributor | Type | Date |
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11529-10548215 ... |
None | dataset | 2024/06/24 |
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11529-10548305 ... |
None | dataset | 2024/06/24 |
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11529-10548031 ... |
None | dataset | 2024/06/24 |
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11529-10548216 ... |
None | dataset | 2024/06/24 |
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11529-10548309 ... |
None | dataset | 2024/06/24 |
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11529-10548390 ... |
None | dataset | 2024/06/24 |
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11529-11011 ... |
None | dataset | 2024/06/24 |
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11529-11013 ... |
None | dataset | 2024/06/24 |
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11529-11015 ... |
None | dataset | 2024/06/24 |
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11529-10548392 ... |
None | dataset | 2024/06/24 |
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11529-11012 ... |
None | dataset | 2024/06/24 |
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11529-11014 ... |
None | dataset | 2024/06/24 |
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11529-11016 ... |
None | dataset | 2024/06/24 |
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11529-11020 ... |
None | dataset | 2024/06/24 |
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Direct-Seed-Marketing---Datasets---ATI-Data-Portal ... |
None | dataset | 2024/06/24 |
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11529-2198058 ... |
None | dataset | 2024/06/24 |
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dataverse.harvard.edu-dataset.xhtml ... |
None | dataset | 2024/06/24 |
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GIZ_ Integrated Soil Fertility Management (ISFM)_crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Oromia Agricultural Research Institute (OARI) NPKS crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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National P-Calibration dataset_2001 to 2006 Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Crop response dataset collated from peer reviewed articles Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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ICRISAT_Africa Rising crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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ATA_balanced fertilizer_crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Supporting Soil Health Intervention (SSHI)_crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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SARI_NPKS_crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Cascape crop response to fertilizer application dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Sasakawa Africa Association Sasakawa Global (SG) 2000 crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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ARARI NPKS crop response dataset Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et...... |
None (MoA, EIAR, Alliance Bioversity-CIAT and GIZ) | Dataset | 2024/06/24 |
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Cereal grain mineral micronutrient and soil chemistry data from GeoNutrition surveys in Ethiopia and Malawi Through the GeoNutrition project, 1352 georeferenced staple cereal grain and soil sample pairs from Ethiopia’s Amhara, Oromia, and Tigray regions and 1812 sample pairs from Malawi were collected from farms under a rainfed and smallholder farming...... |
None | Dataset | 2024/06/24 |
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Meta-analysis of peer-reviewed agricultural research data from Africa The ERAg r-package provides access to the ERA dataset, bibliographic information, associated biophysical data, analytical functions and vignettes. See the package vignettes for how to use the package and access the data contained within. Version:...... |
(Alliance of CIAT and Bioversity) (World Agroforestry (ICRAF)) (CGIAR) | Dataset | 2024/06/24 |
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Wapor datasets for Awash, Ethiopia The seasonal Gross Biomass Water Productivity expresses the quantity of output (above ground biomass production) in relation to the total volume of water consumed (actual EvapoTranspiration) during the growing cycle of the vegetation. By relating...... |
FAO | service | 2024/06/24 |
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African satellite and observation based precipitation estimates over land, 1981 to near-real time Lersha provides a one-stop digital service to small holder farmers and enables them to access farm inputs, hire mechanization services, and request dynamic agro-climate advice using technology. A one stop digital platform where farmers directly or...... |
Lersha | service | 2023/03/21 |
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Wapor datasets for Koga, Ethiopia The seasonal Gross Biomass Water Productivity expresses the quantity of output (above ground biomass production) in relation to the total volume of water consumed (actual EvapoTranspiration) during the growing cycle of the vegetation. By relating...... |
FAO | service | 2024/06/24 |
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CIMMYT institutional network of scientific datasets and software repositories. Giving open access to CIMMYT’s wealth of knowledge is critical to our mission.... |
CIMMYT | service | 2024/06/24 |
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Laboratory and Farm Advisory Services Cropnuts was established in 1998 and started out as a small analytical laboratory in Kenya. In the last 20 years we have grown to become Africa’s leading laboratory for agricultural and environmental testing, providing a wide range of analytical...... |
Crop Nutrition Laboratory Services | service | 2023/08/08 |
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Travel Time to Markets in Africa South of the Sahara Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as...... |
International Food Policy Research Institute (IFPRI) | dataset | 2016/01/29 |
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Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as...... |
International Food Policy Research Institute (IFPRI) | dataset | 2020/07/13 |
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Modified MMF (Morgan–Morgan–Finney) model for evaluating effects of crops and vegetation cover on soil erosion Modifications are made to the revised Morgan–Morgan–Finney erosion prediction model to enable the effects of vegetation cover to be expressed through measurable plant parameters. Given the potential role of vegetation in controlling water pollution by...... |
None | model | 2023/07/07 |
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Decision support system for agrotechnology transfer (DSSAT v3) Agricultural decision makers at all levels need an increasing amount of information to better understand the possible outcomes of their decisions to help them develop plans and policies that meet their goals. An international team of scientists...... |
Department of Agricultural and Biological Engineering, University of Florida | model | 2023/07/07 |
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Universal Soil Loss Equation and Revised Universal Soil Loss Equation ... |
USDA-ARS | model | 2023/07/07 |
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The Water Erosion Prediction Project (WEPP) Model ... |
United States Department of Agriculture - Agricultural Research Service | model | 2023/07/07 |
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A system for quantitative evaluation of the fertility of tropical soils (QUEFTS) A system is described for a quantitative evaluation of the native fertility of tropical soils, using calculated yields of unfertilized maize as a yardstick. The system is applicable to well drained, deep soils, that have a pH(H20) in the range...... |
WUR | model | 2023/07/07 |
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WOFOST, a simulation model of crop production The WOFOST simulation model is a tool for analysing the growth and production of field crops under a wide range of weather and soil conditions. Such an analysis is important first to assess to what extent crop production is limited by the factors of...... |
Wageningen Environmental Research | model | 1989/03/01 |
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AquaCrop—The FAO Crop Model to Simulate Yield Response to Water, I. Concepts and Underlying Principles This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is...... |
FAO | model | 2023/07/07 |
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Sen4CAP - Sentinels for Common Agriculture Policy The Sen4CAP system is an operational standalone processing chain which generates a set of products for agriculture monitoring from Sentinel-2 (S2) L1C and Landsat 8 (L8) L1T time series along the growing season. These different products consist of;...... |
European Space Agency | model | 2023/08/30 |
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SWAT (Soil and Water Assessment Tool) A conceptual, continuous time model called SWAT (Soil and Water Assessment Tool) was developed to assist water resource managers in assessing the impact of management on water supplies and nonpoint source pollution in watersheds and large river...... |
None | model | 2023/07/07 |
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Pan-European soil erosion risk assessment, The PESERA map Soil erosion is a natural process, occurring over geologic time, and indeed it is a process that is essential for soil formation. In the context of environmental protection, most concerns about erosion are related to accelerated erosion, where the...... |
University of Leeds | model | 2004/01/01 |
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RainfedMaizeYieldsByClimateZone Yield gap analysis results at climate zone level for rainfed maize, as determined by the Global Yield Gap Atlas project. Four yield indicators are available: Absolute Yg, Relative Yg, Ya and Yw. For rainfed crops the yield gap (Yg) is defined as the...... |
Alterra Centre for Geo-Information | dataset | 2024/06/24 |
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IrrigatedRiceYieldsByClimateZone Yield gap analysis results at climate zone level for irrigated rice, as determined by the Global Yield Gap Atlas project. Four yield indicators are available: Absolute Yg, Relative Yg, Ya and Yw. For irrigated crops the yield gap (Yg) is defined as...... |
Alterra Centre for Geo-Information | dataset | 2024/06/24 |
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RainfedMilletArea Area where rainfed millet is grown according to SPAM2005. The threshold used is 1%: the harvested area should be at least 1% of the area in a grid cell in order to visualize it as a millet area.... |
Alterra Centre for Geo-Information | dataset | 2024/06/24 |
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