Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension
The development of effective agricultural monitoring networks is essential to track, anticipate and manage changes in the social, economic and environmental aspects of agriculture. The authors welcome the perspective of Lindenmayer and Likens (J. Environ. Monit., 2011, 13, 1559) as published in the Journal of Environmental Monitoring on their earlier paper, “Monitoring the World's Agriculture” (Sachs et al., Nature, 2010, 466, 558–560).
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.
L’évaluation participative repose sur le principe d’une participation active des principales parties prenantes (dont les groupes les moins organisés) à l’exercice d’évaluation. Cette démarche présente un certain nombre d’atouts qui peuvent se transformer en limites quasi rédhibitoires si certains préalables ne sont pas remplis. La finalité de cet article est de discuter des avantages et des inconvénients de la participation, ainsi que des conditions à réunir pour que l’évaluation participative puisse atteindre ses objectifs.
Les enjeux liés au changement climatique et à la sécurité alimentaire confortent la nécessité de mettre au point des démarches de conception/évaluation de systèmes durables, qu’il s’agisse d’améliorer les situations existantes ou d’imaginer de nouvelles voies de développement. En régions chaudes, l’élevage remplit aussi des fonctions non productives et doit s’adapter aux aléas et incertitudes.
De nombreux agriculteurs africains pratiquent des formes d'agriculture potentiellement qualifiables de "?biologiques?". Pourtant, la capacité de l'agriculture biologique à répondre aux enjeux de la sécurité alimentaire en Afrique est encore mal connue, car il existe peu de références expérimentales disponibles dans cette région. L'élicitation probabiliste est une méthode permettant de rendre compte de manière précise des connaissances d'experts sur une ou plusieurs quantités d'intérêt, et de décrire les niveaux d'incertitude associés.
The present chapter outlines a descriptive analysis of the sorghum value chains across the globe, the identified major constraints of the sorghum value chain, the business service provisions, and suggested specific areas of interventions for upgradation of the value chain. Considering the VC of sorghum, it is very new and value addition is limited up to harvesting and marketing of whole sorghum grain.
This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.
The chapter presents a research for development program’s shift from a Logframe Approach to an outcome and results-based management oriented Monitoring, Evaluation and Learning (MEL) system. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is designing an impact pathway-based MEL system that combines classic indicators of process in research with innovative indicators of change. The chapter presents the approach to theory of change, impact pathways and results-based management monitoring, evaluation and learning system
The objective of this article is to increase the understanding of the indicator landscape and to complement the various stages of the innovation process with relevant indicators. In doing so, this study categorizes the identified indicators into company-specific and contextual dimensions. Furthermore, this study analyzes the indicators in terms of their potential for ex-ante and ex-post evaluation and investigates the characteristics of relevant publications. The analysis finds that more process rather than product indicators exist in the literature.