14 pages., via online journal., The purpose of the study was to investigate the information needs and barriers of rural smallholder farmers in Mzimba North in Malawi. A mixed methods approach was adopted for the study and the Wilson’s Model of Information Behaviour (1996) guided the study. A questionnaire and focus group discussion guide were used to collect data from 202 rural smallholder farmers. The study found that the major information need of rural smallholder farmers was crop husbandry as revealed by the majority of rural smallholder farmers 149 (77.6). The study found that majority of rural smallholder farmers 180 (94.8%) were aware of information sources. The study also found that the predominant information sources consulted by rural smallholder farmers were personal experiences as indicated by the majority of rural smallholder farmers 185 (96%). The major challenge faced by rural smallholder farmers was lack of mobility as revealed by the majority of rural smallholder farmers 147 (76.6). The study recommends that the Department of Agriculture Extension Services (DAES) should empower the social structures such as families in rural settings with agricultural information.
13 pages., via online journal., The agriculture sector in Pakistan faces enormous challenges of lack of farm knowledge adoption due to the farmers’ lack of access to the latest information. Recently various mobile phone-based farm advisory services (FAS) have been introduced as an alternative to the conventional extension methods. Despite many ICT initiatives, the performance of these projects remains unsatisfactory. The current study was designed to identify these FAS, farmers’ extent of use, and factors associated with their adoption. Two hundred and forty farmers were surveyed in the rural areas of district Faisalabad, Punjab, Pakistan. Data were collected using a structured questionnaire and analysed with SPSS software. Findings revealed that 77.08% of the sampled farmers were using mobile-based FAS. Telecom and private sector FAS were reported to have the highest share of users (37.08% and 25.83% respectively). Results of the logistic regression showed that farmers’ educational level, mobile use skills, mobile possession duration and the number of mobile phones in a family were found positively significant, while farmers’ age and contact with extension agents were negatively significant. The findings conclude that education and digital literacy are essential for the use of mobile-based alternatives and emphasize the need for training and educating the farmers.
