We analyzed data collected from face to face interviews of farmers in East Chitwan, Nepal to understand the factors affecting the intensity of improved agriculture technologies adoption. We used parametric and nonparametric instrument variable count data models. Results from the Poisson Quasi Likelihood model indicated the positive role of remittance payment on agricultural technology adoption, consistent with the results from the nonparametric model. Additionally, the following variables have a positive impact on technology adoption in the nonparametric model: landholding size and number of animals.