Feed the Future's strategy focuses on five core investment areas: agriculture, nutrition, policy, infrastructure, and institutional capacity. The program focuses its rice activities in the Senegal River ValleyData on household and regional production values for Kedougou, Senegal. The data was produced as part of a Borlaug-funded PhD project studying the impact of crop diversity on ecological and human well-being in south-eastern Senegal. This data asset is comprised of three distinct spreadsheets covering regional production from the Ministry of Agricuture, household-level production data, and crop nutrient data for Kedougou, Senegal.

These are the raw data sets along with analysis and results conducted in Excel 2010 on a wide range of data points on plant growth parameters, soil chemical and physical analysis, irrigation groundwater quality, climate data, irrigation spray discharge monitoring, and cost-benefits analysis of the experiment.

This asset contains 24 datasheets, as well analysis and results. The data can be found in the attached reference materials below.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over the continent of Africa for nominal year 2015 at 30 meter resolution (GFSAD30AFCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AFCE data product uses two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), and one object-oriented classifier, Recursive Hierarchical Image Segmentation (RHSEG). The classifiers retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 MultiSpectral Instrument (MSI) data and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30AFCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area. Known Issues * Known issues including constraints and limitations are provided on page 20 of the ATBD.

이 데이터는 연도별 과수 품목별 생산 현황을 정리한 자료로, 기준년도, 품목명(예: 배, 체리, 아로니아, 떫은감 등), 농가 수, 재배면적(ha), 생산량(톤)으로 구성되어 있습니다. 특정 품목에 대한 농가 참여 규모, 재배 공간 규모, 총 생산량을 확인할 수 있어 과수산업의 규모와 변화를 파악하는 데 유용합니다. 과일 품목별 재배 현황을 분석하여 수요 기반 작물 정책 수립, 재배 지원 정책 타당성 검토, 품목별 시장공급 전략 수립 등에 활용될 수 있으며, 지역별 과수 집중도 평가 및 친환경 재배 확대 등 정책 개발의 기초자료로도 활용 가능합니다.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over the continent of Africa for nominal year 2015 at 30 meter resolution (GFSAD30AFCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AFCE data product uses two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), and one object-oriented classifier, Recursive Hierarchical Image Segmentation (RHSEG). The classifiers retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 MultiSpectral Instrument (MSI) data and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30AFCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10 degree by 10 degree area.Known Issues* Known issues including constraints and limitations are provided on page 20 of the ATBD.

This data asset contains data from the beneficiary based fiscal year 2019 annual results survey of private sector firms assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using one level of stratification, firm type. Firms were selected from five different categories: Processor, Buyer, Local input supplier, Regional input supplier, Finance provider, and Other service provider. In total, 321 firms were surveyed. The data is split into modules. Module A captures basic identifying data on the firm. Module B captures information on the proprietors. Modules C, D, E, F, G and H capture data on sales of products and services. Module I captures information on business practices. Module J captures information on production costs. Module K captures information on access to finance.

만감류 시설재배 생산성 증대를 위해 서귀포시에서 추진한 2021년 공공데이터 기업매칭지원사업의 최종 산출물 데이터로서 제주감귤출하량에 대한 정보를 제공합니다.

작물의 엽수, 엽장, 엽폭, 줄기굵기, 화방높이 등의 생육상태에 따른 생산량과의 상관성 분석

만감류 시설재배 생산성 증대를 위해 서귀포시에서 추진한 2021년 공공데이터 기업매칭지원사업의 최종 산출물 데이터로서 농가토양성분에 대한 정보를 제공합니다.