INTELLIGENT AGRICULTURE –BASED CROP SELECTION ANALYSIS USING BIG DATA

Abstract

The demand for agricultural products is always increasing along with the growth of the human population. However, as the environment throughout the world changes, many crops frequently suffer weather-related harm.This project makes use of IoT technology for Intelligent Agriculture to keep track of environmental variables on a farm. To analyse the environmental parameters affecting that farm, 3D cluster analysis was applied to the data that had been obtained. The suggested plan has the following characteristics: The system determines whether a selected crop has been placed in the appropriate cluster by combining moving average and average variance; (2) we used 3D cluster analysis to analyse the relationship between environmental factors; (3) we then looked at the farmers' rules of thumb; (4) The system determines if a crop is appropriate for the farm by setting a critical value in the cluster based on potential environmental conditions. We installed IoT equipment for Intelligent Agriculture on the farm for monitoring purposes, and we used the algorithm from our study to do an actual-scenario analysis. The findings show that our suggested plan is definitely workable.