Data- Driven Decision Making and Virtual Farming in the Agricultural Metaverse

Abstract

Technology breakthroughs replacing long- standing methods are causing major changes in agriculture. Combining digital twins, virtual simulations, and data analytics, the agricultural metaverse may completely transform the food systems on Earth. Using virtual farming and data- driven decision- making, this study looks at ways to improve output, decrease risk, greater input efficiency, and sustainability. The research reveals the benefits of smart farming systems by way of a comparison between traditional farming techniques with those of precision farming, virtual farming, organic farming, and conventional farming by use of statistical analysis and controlled experiments. Predictive algorithms, real- time sensor data, and immersive virtual technologies enable agricultural operations growingly informed, effective, and sustainable.