Digital Agricultural Extension and Small-Ruminant Farming in Northern Ghana

This study examined the determinants and constraints of mobile phone-enabled agricultural extension services among small-ruminant farmers in Northern Ghana. Cross-sectional data were collected from 406 farmers through purposive and simple random sampling methods. The data is analysed using descriptive statistics, binary logistic regression, and Kendall’s coefficient of concordance. The results show that gender, household size, farmer-based organisation (FBO) membership, and small-ruminant-rearing experience significantly influenced access to mobile-enabled extension on small ruminant production. Male farmers had 16.20 times the odds of access compared with female farmers. Each additional household member was associated with 1.91 times the odds of access, while FBO members had 3.11 times the odds compared with non-members. Each additional year of small-ruminant-rearing experience was associated with 2.35 times the odds of access. Kendall’s ranking identified inadequate electricity coverage as the most important constraint, followed by high device costs, device management costs, difficulty understanding SMS messages, and limited knowledge of mobile phones. The study recommends gender-responsive digital extension, rural electrification, local-language voice services, and integration of mobile and conventional extension systems to enhance the knowledge of small ruminant farmers in the Northern Region of Ghana.

Authors

Publication Details

Journal
African Journal of Agriculture and Food Science
Published
2026-11-11
DOI
https://doi.org/10.52589/ajafs-ioutbx
Primary Topic
Agricultural Development and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Digital Agricultural Extension and Small-Ruminant Farming in Northern Ghana

Adam Iddrisu, Hamza Adam, Askia Musah Mohammed, Ibrahim Abdallah
African Journal of Agriculture and Food Science
Agricultural Development and Management
article

Digital Agricultural Extension and Small-Ruminant Farming in Northern Ghana

Adam Iddrisu, Hamza Adam, Askia Musah Mohammed, Ibrahim Abdallah
article en

Abstract

This study examined the determinants and constraints of mobile phone-enabled agricultural extension services among small-ruminant farmers in Northern Ghana. Cross-sectional data were collected from 406 farmers through purposive and simple random sampling methods. The data is analysed using descriptive statistics, binary logistic regression, and Kendall’s coefficient of concordance. The results show that gender, household size, farmer-based organisation (FBO) membership, and small-ruminant-rearing experience significantly influenced access to mobile-enabled extension on small ruminant production. Male farmers had 16.20 times the odds of access compared with female farmers. Each additional household member was associated with 1.91 times the odds of access, while FBO members had 3.11 times the odds compared with non-members. Each additional year of small-ruminant-rearing experience was associated with 2.35 times the odds of access. Kendall’s ranking identified inadequate electricity coverage as the most important constraint, followed by high device costs, device management costs, difficulty understanding SMS messages, and limited knowledge of mobile phones. The study recommends gender-responsive digital extension, rural electrification, local-language voice services, and integration of mobile and conventional extension systems to enhance the knowledge of small ruminant farmers in the Northern Region of Ghana.

African Journal of Agriculture and Food ScienceVol. 9(3)
Agricultural Development and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon