4 research outputs found
A web analytics approach to map the influence and reach of CCAFS: Latin America Focus
No full textBased on a Digital Methods framework developed to map the policy influence of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) globally (Carneiro et al 2020), this study adapted the approach to focus on the Latin America regional program (LAM). The influence of CCAFS in LAM was explored through data analytics, with the application of machine learning techniques primarily focused on text mining, network analysis and hyperlink analysis of web-based sources. The foundation of this research is to assess the process of knowledge dissemination and influence of CCAFS activity to stakeholders and local beneficiaries, by considering online networks and narratives as evidence of “offline” program influence. It found that CCAFS plays a key role in raising awareness, building capacity, and supporting policy development around Climate-Smart Agriculture (CSA)
The overall aim of this work is to analyze the exogenous variables that affect decision making of stakeholders and farmers to use Irrigation Advisory Services (IASs). IASs can play a key role in assisting users to adopt new techniques and technologies for more efficient water use and increased crop production.
No full textThe overall aim of this work is to analyze the exogenous variables that affect decision making of stakeholders and farmers to use Irrigation Advisory Services (IASs). IASs can play a key role in assisting users to adopt new techniques and technologies for more efficient water use and increased crop production
Farmers’ perceptions as an useful tool to improve irrigation advisory service
No full textAgricultural water scarcity, which is subject to the impacts of rainfall changes is affecting many regions of the world and it is leading to water competition between various users and uses. To deal with these issues, research concerning the application of Decision support systems (DSS) in agriculture has rapidly increased. In the current strategic agriculture framework, the new Common Agricultural Policy (CAP 2023- 2027) encourages farmers to use DSS. In this context, Irrigation Advisory Services (IAS) can play a key role in supporting users to adopt new techniques for a more efficient water use and increased production. In order for DSS and IAS to be able to approach the territory through efficient solutions in sustainable irrigation management, it is necessary to undertake a detailed study on the preferences expressed by final users through MCDA (Multi- Criteria Decision Analysis) in particular Analytical Hierarchy Process (AHP). In this research the judgments of stakeholders have been collected, analysed, and compared to enable advanced management strategies in the IAS, to address heterogeneous decision-making processes in the complex context of irrigation strategies. Improving access to information, ensuring data coherence and communication of data detected by climate variability are some of the issues investigated through this work
An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process
No full textObjective: Stakeholders-farmers from four different European areas (Campania (IT), Kujawsko-Pomorskie (PL), Limburg (NL), Andalusia (ES))-are asked to share, from the OPERA project, their opinions on five criteria that all aim at improving the use of irrigation advisory services (IASs). Each criterion has different characteristics that affect the way farmers rank it. The present study has two objectives. The first is to individuate the priorities of the preferences expressed by the stakeholders. The second objective is to carry out a ranking of the weights of the criteria by case study, ranking the groups and their associated properties among farmers' profiles. Methods: The answers to 120 questionnaires dispensed to the future users of IASs in the four agricultural sites were analyzed in detail, and then the given priorities were evaluated through the analytic hierarchy process (AHP). The AHP methodology was used to determine the relative weights of the five assessment criteria, and finally, to select the one with major value. Results and conclusions: The results show that A5 (assuring economic sustainability) was the most important criterion. The contributions provided by this study are twofold: Firstly, it presents an application of a methodology that involves the conversion of a linguistic judgement of farmers in a correspondence weight. Secondly, it tackles decision making regarding improving the use of IASs, evaluating the preferences expressed by the stakeholders. Irrigation advisory services can play a key role in assisting users to adopt new techniques and technologies for more efficient water use and increased production
