IoT with Edge Computing Based Agro-Economic Model for Sustainable Farming

Edge computing is evolving faster and has greater potential to bring a lot of transformation into the agricultural sector. It helps the farming industry to increase crop yield and production with its scientific methods and technological developments. When the farmer knows about the right amount of nutrients, soil requirements, weather updates, and water necessities at the right time, there will be a gradual increase in the crop yield. Edge infrastructure would process data and make faster decisions than other technologies. Edge infrastructure allows faster processing and decision-making. Our research aims to present an efficient edge-computing architecture for sustainable farming in smart agriculture. The objective of the proposed work is to provide a competent and cost-effective computing model for remote farmers with bandwidth limitations. The proposed edge computing-based Agro-economic model can transform conventional agriculture practices by improving speed, cost, efficiency, and latency with better data processing and decision-making. We have also reduced data risks by reducing infrastructure and operational expenditure and costs. This model provides an optimal solution for sustainable farming by addressing the challenges of current technologies and enabling a smarter approach.