This study analyzed the adoption and extent of agricultural intensification at household level in Ansikhola watershed in mid-hills. Structured questionnaire survey of 310 households, key informants interviews and focus group discussion methods were applied to collect the necessary information. The results revealed that 63% of the sampled households were practicing AI, with differences in the area under cropping intensification. The binary logistic regression model carried out to determine the factors influencing the adoption of AI, indicated five significantly influencing variables to the adoption process, namely, irrigation facility, higher crop yield, landholding size, access to credit and distance to market for chemical fertilizer purchase. Likewise, the Linear Regression performed to find out the determinants of the extent of AI revealed three significantly influencing variables, namely, total amount of fertilizer application, net income from cereals and vegetables and distance to chemical fertilizer store. The results of this study could help in formulating policies based on farmers’ need, interest, capacity and limitation in promoting sustainable AI.