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African Multidisciplinary Journal of Sciences and Artificial Intelligence
Published by Lembaga Yasin Alsys
ISSN : -     EISSN : 15957969     DOI : https://doi.org/10.58578/AMJSAI
African Multidisciplinary Journal of Sciences and Artificial Intelligence aims to publish high-quality, peer-reviewed scholarship that advances scientific knowledge and fosters multidisciplinary integration across the sciences, engineering, health, agriculture, environmental studies, and artificial intelligence. • Scientific Advancement: disseminate rigorous empirical, experimental, analytical, and computational studies across core and applied scientific fields. • Artificial Intelligence Integration: encourage responsible and evidence-based use of AI in scientific discovery, modeling, prediction, diagnosis, and optimization. • Multidisciplinary Convergence: promote studies that connect multiple scientific domains to address complex technical, environmental, biological, and societal challenges. • Innovation and Application: support research that translates scientific and technological knowledge into usable solutions, systems, products, or interventions. Submissions should clearly formulate the research problem, report methods transparently, present defensible evidence, and articulate a well-defined contribution to scientific knowledge and/or multidisciplinary application.
Arjuna Subject : Umum - Umum
Articles 111 Documents
Efficiency of Rice Processing Among Women Processors in Southern Taraba, Taraba State, Nigeria N. K. Mikailu; F. B. Filli; U. H. Ukpe
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.9477

Abstract

Rice processing plays an important role in rural livelihoods and local food systems in Nigeria; however, evidence on the economic efficiency of women processors remains essential for informing productivity-enhancing interventions. This study analyzed the efficiency of rice processing among women processors in Southern Taraba, Taraba State, Nigeria. A multi-stage sampling technique was used to select 70 respondents from Wukari and Donga Local Government Areas. Primary data were collected through structured questionnaires and analyzed using descriptive statistics, gross margin analysis, and net income estimation. The results showed that 89% of the processors were aged 50 years or below, with a mean age of 38.6 years, indicating a relatively young and active workforce. Most respondents had formal education (90%), 63% were married, and the average household size was five persons. Profitability analysis demonstrated that rice processing was a viable enterprise, with a total revenue of ₦711,064.40 and a total cost of ₦471,638.87 per processing day, resulting in a gross margin of ₦240,751.33 and a net income of ₦239,425.53. The return per naira invested was 0.51, implying that processors realized a gain of 51 kobo for every naira invested. Paddy rice constituted the largest cost component, accounting for 90.37% of variable costs. The study concludes that rice processing among women in the study area is profitable, although its efficiency is constrained by inadequate capital, limited access to modern equipment, and insufficient technical training. These findings highlight the need for improved access to modern milling technology, credit facilities, and regular capacity-building programs to enhance processing efficiency and support broader food security goals in Nigeria.

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