Agriculture digital revolution has emerged as a strategic solution to address challenges such as declining enthusiasm for agriculture among young generations, low productivity, and limited access to technology. A prime example is Cropwise Grower, an artificial intelligence based app that focuses on assisting farmers to identify crop conditions in real-time and provide data driven advice. This study aims to investigate how Perceived Expected Gain (PEG) and Perceived Expected Loss (PEL) influence farmers’ adoption intentions with regard to technology. The quantitative approach was employed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that PEG and PEL have a strong positive effect on adoption intention, where the effect of PEL is predominant. The findings indicate that perceived risk and benefit should be taken into consideration in constructing communication and education strategies for agricultural technology. The study provides practical implications for policymakers, technology developers, and extension agents in promoting smart farming adoption sustainably in Indonesia.