Uncertainty is an indispensable characteristic of any system where most contradictory factors are unpredictable or unfathomable. The higher the complexity, the lesser would be the resilience. The agricultural production system, as it is managed in Indian conditions, is the most vulnerable to a plethora of uncertainties. Indian agriculture has been exposed to weather and resource uncertainties, service and market volatility, poor access to technology, and a fragile input delivery mechanism. The study has been conducted in the Nadia district of West Bengal to examine and depict the possible issues and reasons for technology uncertainty as well as its sustainable policy options. A total of 100 respondents from 3 villages, mostly small and marginal farmers, have been selected for the study. The villages were selected through a simple random sampling method. The transforming farmers, having a quicker change in the cropping system and surviving amidst uncertainties, have been chosen by snowball non-random sampling. It has examined the technology uncertainty as predicted characters against a score of 23 exogenous variables. The most significant contributors to perceived uncertainty have been the cost of cultivation(x15), irrigated land (x11), cost of the smartphone (x6), land holding(x9), and crop diversity index (x13). The empirical study further focused on the direction of influence of the variables by applying path analysis. The variable on farm (x16) income has exerted both the highest direct and indirect effect on technology uncertainty by involving as many as 13 other exogenous variables. So, this variable merits significant strategic importance.
