Remote sensing and machine learning for food crop production data in Africa post-COVID-19
The world is experiencing an unprecedented health crisis during the spread of COVID-19 (SARS-CoV-2, or Severe Acute Respiratory Syndrome Coronavirus 2).
The world is experiencing an unprecedented health crisis during the spread of COVID-19 (SARS-CoV-2, or Severe Acute Respiratory Syndrome Coronavirus 2).
Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020.
This report is the final outcome of various knowledge products and training material, usually labelled as “printed eAtlas”, which have been developed and shared with Civil Society Organizations (CSOs) under the Voice for Change Partnership (V4CP)
Accurate geo-information of cropland is critical for food security strategy development and grain production management, especially in Africa continent where most countries are food-insecure.
L'enorme potentiel agricole de la Republique Democratiqu du Congo (RDC) est bien documente.
The huge agricultural potential of the Democratic Republic of the Congo (DRC) is well Documented.
GIS dataset for constructing three-dimensional Development Domain for ASARECA's operation area in 12 East and Central Africa countries.
Accurate delineation of the urban and rural areas has a broad range of implications on the quality and reliability of agricultural production and socio-economic statistics, design of household survey, establishment of agricultural development stra