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HIGHLIGHTS

AAgWa Crop Production Forecast Brief – No. 103
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #103 provides forecasts for Maize productions in Uganda.
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AAgWa Crop Production Forecast Brief – No. 102
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #102 provides forecasts for Maize productions in South Sudan.
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AAgWa Crop Production Forecast Brief – No. 101
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #101 provides forecasts for Maize productions in Ghana.
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AAgWa Crop Production Forecast Brief – No. 100
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #100 provides forecasts for Maize productions in Gabon.
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AAgWa Crop Production Forecast Brief – No. 99
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #99 provides forecasts for Maize productions in Congo.
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AAgWa Crop Production Forecast Brief – No. 98
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #98 provides forecasts for Cassava productions in Togo.
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AAgWa Crop Production Forecast Brief – No. 97
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #97 provides forecasts for Cassava productions in Nigeria.
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AAgWa Crop Production Forecast Brief – No. 96
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #96 provides forecasts for Cassava productions in Benin.
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AAgWa Crop Production Forecast Brief – No. 95
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #95 provides forecasts for Beans productions in Uganda.
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AAgWa Crop Production Forecast Brief – No. 94
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #94 provides forecasts for Beans productions in Rwanda.
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AAgWa Crop Production Forecast Brief – No. 93
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #93 provides forecasts for Beans productions in Burundi.
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Gebisa Ejeta awarded National Medal of Science by President Joe Biden
Congratulations to Malabo Montpellier Panel Member, Gebisa Ejeta, for receiving the National Medal of Science, the highest state honor attainable by scientists in the United States. A Distinguished Professor of Plant Breeding and Genetics and International Agriculture, and Executive Director of the Center for Global Food Security at Purdue University, Gebisa Ejeta, was one of nine leading US scientists awarded at the White House by President Biden on October 24.
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AAgWa Crop Production Forecast Brief – No. 92
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #92 provides forecasts for Millet production in Eritrea.
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AAgWa Crop Production Forecast Brief – No. 91
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #91 provides forecasts for Rice production in the Democratic Republic of the Congo.
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AAgWa Crop Production Forecast Brief – No. 90
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #90 provides forecasts for Rice production in Benin.
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AAgWa Crop Production Forecast Brief – No. 89
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #89 provides forecasts for Wheat production in Eritrea.
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AAgWa Crop Production Forecast Brief – No. 88
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #88 provides forecasts for Barley production in Ethiopia.
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AAgWa Crop Production Forecast Brief – No. 87
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #87 provides forecasts for Maize production in Eritrea.
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AAgWa Crop Production Forecast Brief – No. 86
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #86 provides forecasts for Barley production in Eritrea.
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AAgWa Crop Production Forecast Brief – No. 85
The Africa Agriculture Watch (AAgWa) Production Forecasts by AKADEMIYA2063 aim to provide more accurate & timely statistics about harvest & yield levels for 9 key crops across nearly 50 African countries. AKADEMIYA2063’s Africa Crop Production (AfCP) model is an AI-based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields & harvests at the beginning of every growing season. Brief #85 provides forecasts for Maize production in the Democratic Republic of the Congo.
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AKADEMIYA2063 Knowledge Products

AKADEMIYA2063 is an Africa-based non-profit research organization with headquarters in Kigali, Rwanda and a regional office in Dakar, Senegal. Its mission is to provide data, policy analysis, and capacity-strengthening support to enable African countries to achieve the African Union’s Agenda 2063 goals of inclusive and sustainable development and economic prosperity. AKADEMIYA2063 conducts strategic analysis to address emerging and time-sensitive topics and to fill knowledge gaps on priority issues faced by Africa. Our research findings, AKADEMIYA2063 Knowledge Products, are published in flagship reports and other research publications to support evidence-based decision-making toward accelerating Africa’s broader development goals.

AKADEMIYA2063 ON THE UKRAINE CRISIS

Exposure and Vulnerability to Global Fertilizer Trade and Market...

Brief 33
Nigeria is a major fertilizer producer in Africa. However, it still relies on the global market to meet its...
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Global Wheat Trade and Market Disruptions: Income and Food Security Effects for Nigeria

Brief 32
The Russia-Ukraine conflict has introduced severe disruptions into international grain trade as the two ...
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Exposure of African Economies to Global Commodity Trade and ...

Brief 31
The economic impacts of the global market disruptions brought on by the Russia-Ukraine...
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Wheat Production Outlook in Morocco amid the Ukraine Crisis

Brief 30
Global grain supply chains have been disrupted by the Russia-Ukraine war, raising the threat of food insecurity ...
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AKADEMIYA2063's RESOURCES ON COVID-19

Mapping community vulnerability to identify potential major hot spots

Workstream 1

The Covid-19 pandemic has disrupted lives across the globe in just a few months. And yet, there are no...

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Tracking food staples price changes and their impact on food and nutrition security

Workstream 2

The pandemic is likely to be more disruptive to local food markets and thus have more serious effects on the...

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Food production systems disruption and effects on communities and the national economy

Workstream 3

From effects on access to seeds and fertilizers, limited movement of goods, declining demand, to labor...

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Global trade disruption and the effects on economic growth and livelihoods

Workstream 4

The pandemic has not left a single region of the world untouched. Its disruptive effects have equally reached...

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Mission and Vision

AKADEMIYA2063’s overall mission is to create, across Africa and led from Rwanda, state-of-the art technical capacities to support the efforts by the Member States of the African Union to achieve the key goals of the agenda 2063 of transforming national economies to boost growth and prosperity.

Our History

AKADEMIYA2063 was established to continue and expand the portfolio of policy research and capacity-strengthening support for the implementation of the Comprehensive Africa Agriculture Development Programme (CAADP), which was initiated and previously incubated by the International Food Policy Research Institute (IFPRI). This portfolio has included three main programs: the Regional Strategic Analysis and Knowledge Support System (ReSAKSS), the African Growth and Development Policy (AGRODEP) Modeling Consortium, and the Malabo Montpellier Panel (MaMo Panel).