19 pages., To harness the potential of Information and Communication Technologies (ICTs), developing countries need to develop national ICT policies that will serve as a framework for integrating ICTs at all levels of society. In the absence of that, different actors often engage in various actions for the same beneficiaries and in pursuit of the same objectives. That raises the need to define a national framework for the promotion and application of ICTs in the various production areas, particularly agricultural ones. It is for that reason that this study examined through qualitative methods (policy documents and semi-structured interviews) the national policy of Mali on the use of ICTs in agriculture. Data was analysed using the Qualitative Content Analysis (QCA) method with the aid of NVIVO 12 software. The results showed that the country has two policy documents that articulate the country’s strategy towards the use of ICTs in the agricultural sector, that is, the Agricultural Orientation Law and the National Strategy for the Development of the Digital Economy. Further examination revealed that that these two policy documents are neither appropriate nor coherent in today's Malian landscape. This has resulted in an underutilisation of digital tools by agricultural extension officers which led to the low agricultural productivity in the country. This study recommended therefore the recasting of both documents to take into account the reported observations
7 pages., Agricultural extension as a mean of dissemination of agricultural latest technologies to the farming communities and motivating them for its adoption can be achieved through better use of communication among relevant stakeholders. The existing extension and communication strategies used in Khyber Pakhtunkhwa province have many limitations. The present study was thus conducted to compare and analyze the farmers’ perceptions regarding use of information and communication technologies (ICT) in agriculture extension at three selected districts of Khyber Pakhtunkhwa. Based on the multi-stage sampling technique, population for the current study, 3 zones from 5 were purposively selected on the basis of their different agricultural condition. Selection of sample size was made using Yamane formula. The number of respondents as per formula was confined to 188 respondents in district Mansehra, 153 respondents in district Swabi and 59 respondents from district Karak, where data were collected randomly. Five point Likert scale was used to record responses of the respondents. The results of the study clearly showed that majority of the farmers in the study area were literate (73%) and comparatively was greater in district Mansehra (77%), while least in district Swabi (64%) using ICT for agricultural purposes and observed a significant correlation between the literacy and ICT i.e. 0.77. The results also showed that 39% respondents from District Mansehra, and 33% from district Swabi were fulltime farmers, used ICT. The results also showed that regarding the effectiveness of ICT tools in crop production, printed material; TV and Mobile Phone were used in districts Mansehra, Karak and Swabi respectively. Similarly, it was also inferred that ICT is very effective tool for communication between farmers and with extension workers. Hence, ICT is the most effective and useful tool for the improvement of the overall extension delivery system, so agriculture extension department may establish a formal structure to initiate free SMS and voice message service in the easiest and understandable languages for increasing overall coverage of the extension delivery.
Social Networks like Facebook, Twitter, YouTube and WhatsApp are now becoming very popular tools that are used for sharing the latest and important farming based information in different part of India. These tools are now widely used by Agricultural Extension and Advisory services to interact with the farmers for exchanging agricultural related information in India. The most influential farmers in a network can disseminate the information to the less central farmers of the network. The extension functionaries that promote the agricultural innovation will share the information with the most central members which in turn will share it with maximum number of the members of a social network. Social Network Analysis (SNA) acts as an efficient analytical tool that helps us to understand the relationship between farmer stakeholders and the importance of a farmer's position in the entire network. In this paper, a structural analysis of the Social Network is performed over two datasets, namely, Facebook-like dataset and Twitter Lists dataset. Here, we have studied the importance of individual nodes in the network through various centrality measures. SNA properties like centralities are used to represent the most central nodes that can act as a good influence spreader in the network. In this paper, initially the k-core decomposition method is used to find a set of influential nodes among all the nodes in the network. It is done to reduce the computational time. Our simulation shows that the nodes with higher Page Rank centrality can activate more members in a network as compared to other centrality measures. For Information diffusion, we have used Linear Threshold (LT) Model to understand the influence spread of the central farmers in the network.
