| Summary: | This study examined Probit model analysis of smallholder’s farmers decision to use
agrochemical inputs in Gwagwalada and Kuje Area Councils of Federal Capital Territory,
Abuja, Nigeria. Primary data were used for this study. Data were obtained using structured
questionnaire. The questionnaires were administered to sixty smallholder’s farmers sampled
using a two-stage sampling technique. Data obtained were analyzed using descriptive
statistics and Probit model. Eight estimators, age; farm-size; education–level; extension
services; access to credit; off-farm income; experiences in farming; in the Probit model were
found statistically significant. Results show that the probability of using agrochemical inputs
increases with age; farm-size; family-size; education-level; extension services; experiences
in farming but decreases where they have off-farm income and access to credits. Mc Fadden
Pseudo-R
2
gives 0.6866 and Probit model correctly classified 93%. This study concluded
that capacity of agricultural extension agents needs to be improved in the study area to
educate farmers to invest in agrochemicals and improved agricultural technologies. Also,
Government needs to improve on good road networks and appropriate policies to regulate
standard, use, safety needs and environment of use of agrochemicals in the study area.
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