Analysis of Soil Parameter Variability in Vadodara District Using Clustering Techniques
A standalone system which will help the agriculture department to cluster the villages based on the soil's majorparameters. In this project Clustering technique of Data Mining is going to be used. "Clustering is the process oforganizing objects into groups whose members are similar in some way". Cluster analysis is a general term for afamily of statistical classification methods that group objects. It comes under unsupervised learning category ofMachine Learning. Machine Learning is a field of study that gives computers the ability to learn without beingexplicitly programmed. The idea is statistically to minimize within-group variability while maximizing among-groupvariability in order to produce relatively homogeneous groups that are distinct from one another. This project is tostudy the pattern of variability of major soil parameters simultaneously across the villages and to group the villageshaving the same pattern by considering data of villages. It will help the farmers to identify the amount and type offertilizers to be used in their soil on the basis of soil parameters in their region. This information will be easilyavailable to the farmer from the agriculture department of that region.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-10
- DOI
- https://doi.org/10.5281/zenodo.16789015
- Primary Topic
- Vitamin D Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00