Abstract This study aims at understanding and quantifying the link between climate and agriculture in Cameroon; and to analyze how expectations of farmers on climate change affect investment and production decisions. To achieve the first objective, the Ricardian model is estimated by the Ordinary Least Square method. The second objective is achieved by estimating a dynamic stochastic model by the nonlinear three-stage least square method. Regarding the marginal effect, we found that an increasing for 1mm of precipitations leads to an increasing for FCFA 3205 of farm income per hectare. While an increasing for 1 C of temperature leads to a decreasing for FCFA 3100.05 of farm income per hectare. As for the elasticity of farm incomes, the results suggest that an increasing of 1% in temperature leads to lower farm revenues by 41.43 % while an increasing of 1% in precipitation leads to higher farm revenues by 17.01 %. Finally, under climate change, farmers take about two and a half years to fully adjust the desired level of their crops, about 24 years for capital, one and half year for labour and about nine months for fertilizer to their optimal level. Acknowledgement :