CIMMYT Ethiopia
Odisha Rice Crop Cut Data 2013 - 2016
Rice crop cuts conducted in Odisha (Mayurbhanj, Balasore, Keonjhar, Bhadrak, Khorda, Puri districts)
1 resource
Published 23 Oct 2017
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Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
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CIMMYT Ethiopia
Rice crop cuts conducted in Odisha (Mayurbhanj, Balasore, Keonjhar, Bhadrak, Khorda, Puri districts)
CIMMYT Ethiopia
The major objectives of this rice crop cuts and survey were to: (i) identify major rice yield determinants in western terai districts of Nepal and (ii) to identify major determinants that describe the variability in rice yield across farms thereby linking with farm characteristics and socio-economic gradients. This study uses Remote Sensing (RS) data particularly the NDVI (Normalized Difference Vegetative Index) value extracted from LandSat satellite images in each of the six districts (Kanchanpur, Kailali, Bardyia, Banke, K apilbastu and Rupendhai). Since the resolution of LandSat satellite was better than MODIS; we used LandSat derived NDVI values to capture the variability in standing green biomass (a proxy for yield) so that sample selected will represent this variability in NDVI values. In each of the districts we saw a normal distribution of NDVI and samples were selected randomly by stratifying the NDVI values into four quartiles of bell curve, so that selected sample will represent proportionally the bell curve quartiles. The study contains several optional modules questions and mandatory modules. The mandatory modules give the broader insights on input uses across farms while the optional module provides better insight on each input uses for example; fertilizer use details, irrigation dynamics, weed management and socio-economics gradients particularly based on income and expenditure of households. The optional module is accompanied by the crop cuts data which was done in three quadrants of each plot wit h 2*2=4 meter square area. The sample size for this survey is 1052 households and the inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots. Out of the total samples of 1052; a set of (~12%; 126 samples) households participated in optional modules to get the detail data on irrigation dynamics, weed management and socio-economics parameters.
CIMMYT Ethiopia
The objective of the Landscape Diagnostic Survey (LDS) for wheat is to bridge the existing data-gap around current production practices of wheat, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. The data has been collected from farmers largest wheat plot for 2018, 2019, 2020 and 2021. The surveys for the year 2020, and 2021 were done via phone surveys due to COVID and can be used as panel data with the hhid. Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. The sample size for this survey in 2018 is 1577 households, in 2019 is 1207 households, in 2020 is 1028 households, and 953 households for 2021. The inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots.
CIMMYT Ethiopia
The objective of the Landscape Diagnostic Survey (LDS) for rice is to bridge the existing data-gap around current production practices of rice, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. Data has been collected from farmers largest rice plot for 2019, 2020 main (kharif) season . Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. The sample size for this survey in 2019 is 2917 households, and 2122 households for 2020. The inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots.