16 pages, The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
26 pages., via online journal., This paper employs the patent data of four major genetically modified (GM) crops, soybeans, cotton, maize and rapeseed, to illustratee how the innovation of GM crop technology diffused and distributed globally over time. Data collected from the Derwent Innovation Index, were employed to construct country patent citation networks, from 1984 to 2015, and the results revealed that developed countries were early adopters, and the primary actors in the innovation of GM crop technology. Only seven developing countries appeared in the country citation network. Most developed countries were reluctant to apply GM crop technology for commercial cultivation. Private businesses stood out in the patent citation network. The early adoption and better performance of developed countries can be explained by the activities of large established private companies.
12 pages., via online journal., This study explores the status of mobile usage among the agriculture community in the North‐Central province of Sri Lanka in relation to interactions with major agriculture stakeholders. The objectives of the study were to study the factors affecting the mobile use by farmers, farmers' willingness to receive agricultural information through mobile communication technology, and awareness on mobile based agriculture information systems. Primary data were collected at two stages using two structured interview schedules (N=390, n=65). According to the findings the access to mobile phone was considerable higher among the study group while age and education had an effect on using a mobile phone. Only a few farmers have yet started using them efficiently for agriculture and other commercial purposes. A considerable number of farmers used the mobile phones to contact input suppliers, buyers, agriculture extension officers and other farmers in the area, mostly those who represent community based organizations.
