A Comparative Study On Analyzing And Resolving A Use Case On Utilizing Unused Landscape Availability In Tamil Nadu Suitable For Agriculture Using Clustering Algorithm
In today’s world taking an informed decision before deploying a new project will saves from losses in any field. To have an informed decision we must have thoroughly analyzed data. It is possible by implementing an apt algorithmic approach.  In order for food systems to become sustainable, we need to undergo transformation processes. Food chains and agriculture are undergoing considerable transformations as a result of digitization.In this article we have analyzed the unused landscape availability in Tamil Nadu State (India), which is suitable for agriculture. The classification approach is what we discussed throughout this article. To sum up, the task of predictive analysis is carried out to achieve the outcome.  Through information technologies, food chain coordination can be enhanced, inefficiencies reduced, inefficiencies reduced, and inefficiencies reduced in the agro-food industry. As well as exploring the drawbacks of Information Technologies and factors that limit their adoption in agriculture, the paper also discusses the factors that limit their uptake.