Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold

Cristal Durán, Mihaela Juganaru

2023

Abstract

Agricultural production data for multiple crops is available as open data; However, to discover information in the data it is necessary to consider methodologies, methods and tools that allow guiding the research work to specifically explore agricultural data. This article aims to propose an adaptation of the CRISP-DM and OSEMN methodologies to the agricultural context, which helps to study any crop. In addition, to apply the proposed methodology to the agricultural production of an endemic Mexican product that is the marigold flower, Tagetes erecta.

Paper Citation

in Harvard Style

Durán C. and Juganaru M. (2023). Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-671-2, SciTePress, pages 453-459. DOI: 10.5220/0012257800003598

in Bibtex Style

@conference{kdir23,
author={Cristal Durán and Mihaela Juganaru},
title={Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2023},
pages={453-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012257800003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold
SN - 978-989-758-671-2
AU - Durán C.
AU - Juganaru M.
PY - 2023
SP - 453
EP - 459
DO - 10.5220/0012257800003598
PB - SciTePress