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FARA - The Next Chapter

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News & Events

Second 2017 PARI Policy Dialogue Conducted in Ethiopia

20th Oct, 2017
Fifty-three agricultural innovation stakeholders from the Ethiopian government ministries, education, extension, and research institutions; development organisations,
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FARA Launches the Findings of Baseline Studies on Agricultural Total Factor Productivity

10th Oct, 2017
The launch of the baseline report on  the current Agricultural Total Factor Productivity (ATFP)  took place at a cocktail event organized as part of the  African Union (AU) Second Ordinary Session
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Science Agenda for Agriculture in Africa

The Science Agenda for Agriculture in Africa (dubbed 'Science Agenda' / S3A) is an African Owned and African-led process that articulates the science, technology,extension, innovations, policy and social learning that Africa needs to apply in order to meet its agricultural and overall development goals. The strategic thrusts of the S3A in the short to medium term are: the implementation of CAADP; increase domestic public and private sector investment; creating the enabling environment for sustainable application of science for agriculture; and to double current level of Agricultural Total Factor Productivity (ATFP) by 2025 through application of science for agriculture.

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IAR4D

The Integrated Agricultural Research for Development (IAR4D) concept was developed and proposed by FARA to overcome the shortcomings of the linear approaches for implementing agricultural research and development. The IAR4D concept appraises agriculture as a system that is made of many sub-systems that must work together to foster development. Thus it engages all actors, organizations and institutions that are involved in the agricultural sector to interact and jointly foster the development of the sector. IAR4D uses both the system and the commodity approach, and engages all actors along the commodity value chain, including external actors like policy makers, financial institutions, meteorologist, insurance etc. that influences the chain to interact and proffer solution to the jointly identified constraints on the platform.

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