Onu Samson Ejike is a lecturer in the Department of Agricultural Extension and Rural Development, Michael Okpara University of Agriculture, Umudike. He holds a B.Agric in Rural Sociology and Extension, M.Sc. in Rural Sociology and Development and PhD in Agricultural Extension and Rural Development. He is a research consultant and specialist in Data Analysis. He a member to numerous professional bodies which includes, Rural Sociological Association of Nigeria (RUSAN), Agricultural Extension Society of Nigeria (AESON), Society for Community and Communication Development Research (SCCDR), Agricultural Society of Nigeria (ASN), Nigerian Forum for Agricultural Advisory Services (NIFAAS), Farmers Association of Nigeria (FAMAN) etc. His research interest is in the areas of Rural Sociology and Development. Onu Samson Ejike has published widely on several national and international landmark journals and equally presented papers at different conferences.
The study assessed sex-based barriers and drivers of access to agricultural resources in Ebonyi State, Nigeria. A total of 120 farmers (60 males and 60 females) were surveyed using structured questionnaires. Frequencies, means, standard deviation, t-tests, and logistic regression were employed for data analysis. Results revealed that male farmers had higher access to key resources such as land ($\bar{x}$ =3.61), credit ($\bar{x}$ =3.15), and extension services ($\bar{x}$ =3.18), compared to female farmers, who recorded lower access levels (land $\bar{x}$ =2.52; credit $\bar{x}$ =2.35). In terms of perceived constraints, male farmers cited inadequate finance ($\bar{x}$ =3.15) as a major limit... More >
Open Access
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Research Article
| 29 September 2025
The study focused on the economic analysis of palm fruit processing among rural farmers in Ezeagu Local Government Area of Enugu State, Nigeria. Specifically, it described the socio-economic characteristics of palm oil processors, identified processing methods, estimated costs and returns, determined factors influencing output, and examined constraints. A multi-stage stratified random sampling technique was used to select 60 respondents. Data were collected with structured questionnaires and analyzed using descriptive statistics (frequency, percentage, mean, and gross margin model) and inferential tools such as regression and Z-test models. Results showed that 35% of producers used mechanize... More >
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