If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to assess sources of agricultural information used by farmers for climate change adaptation in the semi arid areas of Tanzania. Design/methodology/approach -Mixed quantitative and qualitative methods were deployed. Semi-structured interviews were used to collect qualitative and quantitative data from 100 farmers in three selected wards in Chamwino district in Tanzania. Focus groups were also used to collect qualitative data from 30 farmers in the same wards. Findings -The results showed that the major sources of information for farmers were predominantly local (neighbours and friends), followed by public extension services. Apart from radio and cell phones, advanced technologies (i.e. internet and e-mail) and printed materials were not used in the study area, despite their existence in the communities.Research limitations/implications -The study necessitates a need to conduct regular studies on preferred information source of agricultural information and knowledge, development of technologies and use multiple sources of knowledge and information (such as print and mass media) to deliver relevant information to farmers to enable them to adapt to climate change.Originality/value -The study provides a deep understanding of sources of agricultural information used by farmers in the semi arid area, which necessitates a need for demand-led and client-based information services, in order to meet the disparate farmers' needs in this regime of climate change. These findings can serve as an example for the increasing use of mixed quantitative and qualitative in information research.

Purpose -The purpose of this study was to examine socio-demographic factors influencing the use of mobile phones in accessing rice information on climate change adaptation by rain-fed farmers in Tanzania with reference to Morogoro region.Design/methodology/approach -A cross-sectional research design was used to collect data from 400 randomly selected rain-fed rice farmers owning mobile phones. Semi-structured questionnaires were used for data collection in eight selected wards in two districts of Kilombero and Kilosa districts in Morogoro Region, Tanzania.Findings -The findings of the study showed that the use of mobile phones to access rice information on climate change adaptation was statistically significantly influenced by respondents' sex, age, education level, marital status, farm size, farming experience, radio ownership and off-farm incomes. Furthermore, the use of mobile phones in accessing rice information on climate change adaptation among the study districts was not statistically significant.Practical implications -This paper provides practical recommendations on how to improve accessibility of rice information through mobile phones on climate change adaptation. Implementation of information delivery system to farmers using mobile phones without ascertaining farmers' sociodemographic characteristics leads to resource underutilization.Originality/value -The paper provides appropriate knowledge that is needed in improving access to information through mobile phones by Tanzanian farmers and in other communities in developing countries with the aid of the additional theoretical moderators of unified theory of acceptance and use of technology as the research findings suggest. Moderators' variables have high influence on farmers' use of mobile phones on accessing rice information on climate change adaptation.

In Tanzania, agriculture sector is known for employing more than 70% of the total population. Agriculture sector faces many challenges including climate change. Climate change causes low productivity in agriculture; low productivity is caused due to poor implementation of agricultural policies and strategies. This poor implementation of policies has also caused many farmers to be not competent in climate change adaptation. Over the years, provisions of agricultural advice and extension were provided by various approaches, including training and visit extension, participatory approaches, and farmers’ field schools. However, provision of agricultural advisory and extension service is inefficient. Also, in most cases the usage of most agricultural innovations and technologies developed is limited. A literature review indicates that the main reasons given by Tanzanian farmers for not using improved technology are not lack of knowledge or skill, but rather that the technologies do not contribute towards improvements (e.g., the technologies are not profitable or they imply to high risk). Thus, agricultural extension service needs to be geared towards teaching farmers how to develop innovative and cost effective technologies that are contextualized. Limited numbers of agricultural extension staff and less interactivity of Information and Communication Technologies (ICTs), such as radio and television, have been mentioned to be among the factors limiting the provision of agricultural advisory and extension services to the majority of farmers in Tanzania. The advancements in ICTs have brought new opportunities for enhancing access to agricultural advisory and extension service for climate change adaptation. In Tanzania, farmers and other actors access agricultural information from various sources such as agricultural extension workers and use of various databases from Internet Services Providers. Also there are different web – and mobile – based farmers’ advisory information systems to support conventional agricultural extension service. These systems are producing bulk amounts of data which makes it difficult for different stakeholders to make an informed decision after data analysis. This calls for the need to develop a tool for data visualization in order to understand hidden patterns from massive data. In this study, a semi-automated text classification was developed to determine the frequently asked keywords from a web and mobile based farmers’ advisory system called UshauriKilimo after being in use for more than 2 years by more than 700 farmers.