Title : Modelling the adoption of Smart Farming techniques in Central India using the fuzzy DEMATEL analysis method
Smart farming techniques are being swiftly adopted in various developed regions to meet the goals of productivity enhancements of various farm produces. However, due to certain barriers, it is becoming quite impossible for adoption at a large industrial scale. This is especially the case with developing countries such as India. In this study, attempts were made to analyze the advent of usage of these modern techniques at an industrial scale in one of the most vegetative areas of India. Various barriers to adoption have been identified through a literature review and then validated with expert panels from industry and academics. After identifying these barriers, certain causal relationships between these were identified and then compared to find the most crucial and enabling ones using the fuzzy DEMATEL methodology. The findings in the study, demonstrate that factors such as the farmer’s education level, age, acreage they hold and produce grown play the central role to decide whether to adopt these recent technologies. We hope that the results from this study would guide the practitioners on the sustainable adoption of new technologies in emerging countries such as India, for improving the crop production levels and help improve the livelihood of stakeholders in the agriculture sector.