The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield.  A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)

The objectives of this study twofold (i) First to assess farmer's perceptions of IT and secondly (ii) to determine the major factors influencing farmer's adoption decisions. This study offers for policy makers important considerations that could stimulate and sustain adoption of these IT in Tunisian arid agricultural areas. The present study is based on the hypothesis that the farm adoption decision of farmers has no relationship with the type of technology

The objective of this paper is twofold. First, using a three rounds panel data of 7110 households, was investigate the adoption decisions and the complementarities among the four labor-intensive technologies (agricultural extension service, irrigation, soil conservation and planting seeds in a row) and a comprehensive use of four modern inputs (improved seed variates, inorganic fertilizer, pesticides, organic fertilizer) which have been frequently adopted by smallholder farmers.

This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.

The current study sought to analyse the livelihood impact of innovation platforms on small holders in the study areas based on the previous studies that identified successful Innovation Platforms in Eastern and Western Kenya. The study concentrated on four successful innovation platforms that were identified in a previous study In that study, fifteen innovation platforms were ranked based on a given criterion out of which the four innovation platforms were purposively chosen.

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.

The overall objective of this research was to undertake a rapid milk value chain analysis toward identifying innovation opportunitiesto boost the milk production in Rwanda. The identified opportunities include boosting milk production through improved cattle breeds and animal nutrition, introduction of small and medium scale processors, development of business hub models around MCCs, consumer sensitization and school programs to boost milk demand

The present study was commissioned to carry out an update of the “Integrated Agricultural Research for Development (IAR4D)” with a view to evaluating the quantitative and qualitative impact of the several outcomes on stakeholders in the The sub-Saharan Africa Challenge Program (SSA CP). The present study is also to validate the hypotheses that the IAR4D (i) works (ii) delivers more benefits than the conventional R&D method and (iii) can be scaled out and up beyond the current area of operation.

The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.

This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.