Analysis of Kmeans crop results

Published: 28 May 2024| Version 1 | DOI: 10.17632/ch2vmn22bp.1
Contributors:
Wilson de Jesus ARRUBLA Hoyos, Andrés Solano-Barliza, Adelaida Ojeda-Beltrán, Juan Araujo-Saucedo, Dora Cama-Pinto, Juan A. Holgado-Terriza, Alejandro Cama Pinto

Description

The dataset at hand comprises departmental agricultural profiles for Colombia, based on Municipal Agricultural Assessments (EVA) conducted by the Ministry of Agriculture and Rural Development. The analysis uncovers ten distinct agricultural regions in the country, categorized by departments, crops, crop groups, and crop cycles. The dataset includes 206,068 records of agricultural production by department. To better understand the underlying structure of the data, a cluster analysis was performed using the K-means algorithm.

Files

Steps to reproduce

The dataset at hand comprises departmental agricultural profiles for Colombia, based on Municipal Agricultural Assessments (EVA) conducted by the Ministry of Agriculture and Rural Development. The analysis uncovers ten distinct agricultural regions in the country, categorized by departments, crops, crop groups, and crop cycles. The dataset includes 206,068 records of agricultural production by department. To better understand the underlying structure of the data, a cluster analysis was performed using the K-means algorithm.

Institutions

Universidad de La Guajira

Categories

Agricultural Engineering

Licence