This research set out to investigate the extent to which the language of agricultural inputs (chemicals) sold in Cameroon markets is intelligible and reliable to farmers, most especially the rural farmers. The South West, North West, West and Far North Regions were taken as case studies. Data was collected from inscriptions on inputs, farmers’ questionnaires, interviews with input sellers, agricultural experts and farmers, as well as personal observation of the researchers. The data was analyzed quantitatively and qualitatively following Swales (1990) and Bhatia’s (1993) approaches to genre analysis. The findings from questionnaires and interviews revealed that the language of agricultural input products use in Cameroon is less intelligible to rural farmers. This is because of the scientific nature, the formulae and abbreviations used which are difficult for a non- agricultural expert to understand and the fact that most rural farmers have low educational levels. Moreover, some chemicals sold in Cameroon markets do not have labeling and the language of withdrawal period. In addition, the result from questionnaires, interviews and personal experiences revealed that the language of most inputs like fungicide and herbicide are unreliable. Those who respect the application as prescribed on the chemicals fail in their farms and those who violate succeed. This unreliability and absence of instructional language have negative impacts on agricultural output and human health.
This study was conducted in Nyagatare district located in the Eastern Province of Rwanda. Its objective was to assess the effect of the Crop Intensification program (CIP) on maize production in Nyagatare district. Improved seeds, Inorganic fertilizers, Extension services and Land Use Consolidation were the major variables for consideration in this study and assessment was made as to the contribution they made to maize production in CIP in the study area . The study focused on 24 cooperatives with 97 respondents. It used qualitative approaches to generate the opinion of respondents where data was not readily available and also quantitative methods where both primary and secondary data were used. Primary data was collected using questionnaires from random sample of 97 farmers, and it considered the socio-economic characteristics of farmers while Secondary data was collected from different sources, like Ministry of Agriculture, District offices, Agriculture Sector working Group (ASWG) reports , books, reports and internet.. The research used correlation and regression techniques Research findings revealed that youth and educated people’s engagement in agricultural activities is minimal, that Extension services has not influenced maize production significantly and also that men constitute a bigger proportion of the agriculture work force than women creating a gender gap in the sector. Improved seeds influence significantly maize production more than other independent variables in this study