This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
This note presents an outline of the main strands of the innovation systems research associated with the ARISA project. It begins by locating this in the current discourse on concepts and policy perspectives on innovation and capacity building before setting out key areas of research inquiry and research activities
Depuis une dizaine d’années, SOS Faim développe avec ses partenaires latino-américains, une nouvelle stratégie pour endiguer la pauvreté rurale : le développement territorial rural (DTR). On peut définir le DTR comme étant une dynamique d’animation et de concertation entre acteurs publics et privés (entre autres les Organisations Paysannes) sur un territoire donné, en vue d’améliorer durablement les conditions économiques et sociales de sa population.
Soil texture is a key soil property influencing many agronomic practices including fertilization and liming. Therefore, an accurate estimation of soil texture is essential for adopting sustainable soil management practices. In this study, we used different machine learning algorithms trained on vis–NIR spectra from existing soil spectral libraries (ICRAF and LUCAS) to predict soil textural fractions (sand–silt–clay %). In addition, we predicted the soil textural groups (G1: Fine, G2: Medium, and G3: Coarse) using routine chemical characteristics as auxiliary.
This is the final report of the fifth regional consultative forum meeting of the Asia-Pacific Fishery Commission (APFIC) convened in Hyderabad, India from 19 to 21 June 2014. It was attended by 85 participants from 17 countries and 28 national, regional and inter governmental partner organizations and projects. Forum participants came to the meeting to develop and reach consensus on ways of implementing policies and action plans designed to address the major challenges confronting the fisheries and aquaculture sectors in the region.
Since 2017, in line with COAG’s recommendation, the Research and Extension Unit engaged in the development of a participatory AIS assessment framework including a customizable toolbox for countries with a totally new capacity development perspective. The assessment framework is meant for actors of the national agricultural innovation systems, i.e.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice.