The shrimp sector has been one of the fastest growing agri-food systems in the last decades, but its growth has entailed negative social and environmental impacts. Sustainable intensification will require innovation in multiple elements of the shrimp production system and its value chain. The study focuses on the case of the shrimp sector in the Mekong Delta in Viet nam to explore the constraints inthe transition to sustainable intensification in shrimp farming, using an analytical framework based on innovation systems thinking, i.e., an aquaculture innovation systems framework.
AgriFoodTech start-ups are coming to be seen as relevant players in the debate around and reality of the transformation of food systems, especially in view of emerging or already-established novel technologies (such as Artificial Intelligence, Sensors, Precision Fermentation, Robotics, Nanotechnologies, Genomics) that constitute Agriculture 4.0 and Food 4.0. However, so far, there have only been limited studies of this phenomena, which are scattered across disciplines, with no comprehensive overview of the state of the art and outlook for future research.
While several studies have shown that genetically modified Bt cotton can benefit smallholder farmers economically, the sustainability of these effects is still unclear and debated controversially between biotechnology proponents and critics. We use unique panel data of 533 cotton farmers, collected in India between 2002 and 2008, to analyze Bt impacts on cotton yield, profit, and household living standards. Results from fixed effects models show that the adoption of Bt cotton is associated with a net yield gain of 24% and a profit increase of 50%.
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.