The study determined the productivity analysis of dry season tomato production in Adamawa state. The Primary data were
collected from 200 tomato farmers selected using multi stage sampling techniques in four local government areas spread
across the four Adamawa agricultural development programme (ADPs) zones of the state. The data collected were for
2011/12 cropping season with the aid of well structured questioners. Data collected were analyzed using stochastic frontier
production function. The maximum likelihood estimate (MLE) of the stochastic frontier model production function
revealed that farm size, seed and fertilizer were under-utilized. The mean technical efficiency (TE) index was 0.72. The
inefficiency model revealed that farming experience, education, family size and extension contact, increase TE of farmers.
The MLE of the parameters of stochastic cost frontier model of farmers were statistically different from zero at one and
five level with the mean allocative efficiency (AE) of 0.81. Farmers age, education, extension contact and credit
availability were found to increase (AE) of tomato farmers. The study therefore, recommends that input prices should be
subsidized by public and private sectors and extension activities need to be intensified in all ADPs Zones through adequate
funding by both private and public sectors, to increase the technical and allocative efficiencies of tomato farmers.