Este folleto presenta la red virtual de comunicación sobre la extensión y la investigación (VERCON), que es un modelo conceptual que cualquier país puede utilizar y adaptar para mejorar el acceso a la información agropecuaria y el intercambio de conocimientos, así como para reforzar los vínculos entre las personas y las instituciones del mundo rural, utilizando las tecnologías de la información y la comunicación.
This booklet contains fifteen short stories told by field staff of the 2SCALE project about their personal experiences on how their work impacted a particular person or group. The booklet results from a regional review and capitalisation workshop that was organised in Benin in March 2017 within the framework of the 2SCALE programme. 2SCALE (Towards Sustainable Clusters in Agribusiness through Learning in Entrepreneurship) is a major agribusiness incubator programme implemented since 2012, and is aimed at promoting inclusive agribusiness partnerships in nine African countries.
This report deals with innovation opportunities in the Rice Value Chain.
The following is a summary that introduces the report.
This report deals with selected innovations in Nigeria.
The following is a summary that introduces the report.
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
This publication brings some sucessful experiencies in Digital Agriculture in African countries. In this issue of Spore, it is explored how digitalisation is providing women with better access to finance, information and markets, as well as opening up new opportunities for young entrepreneurs to develop apps and other digital services in agribusiness
This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.
This study focused on analysing the determinants of farmer participation in direct marketing channels using the case of the cassava sector in the Oyo State of Nigeria. The Bivariate Tobit model was applied in the empirical analysis, based on a primary dataset generated from 400 rural cassava farmers from the Oyo State of Nigeria. The main objective of this study was to analyse the effects of the determinants of farmer decision to either participate in the processor or middlemen marketing channels in the Oyo State of Nigeria.
The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.