Towards the Characterization of Agricultural Regions Based on Weather Conditions – Sustainable Agriculture

  1. JoseM. Cadenas
  2. M. Carmen Garrido
  3. Raquel Martínez
Libro:
Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environments
  1. CarlosA. Iglesias (ed. lit.)
  2. Jose Ignacio Moreno Novella (ed. lit.)
  3. Alessandro Ricci (ed. lit.)
  4. Diego Rivera Pinto (ed. lit.)
  5. Dumitru Roman (ed. lit.)

Editorial: IOS Press

ISBN: 978-1-64368-091-0 978-1-64368-090-3

Año de publicación: 2020

Páginas: 143-151

Tipo: Capítulo de Libro

DOI: 10.3233/AISE200035 WoS: WOS:000782470100017 DIALNET GOOGLE SCHOLAR

Resumen

Nowadays, precision agriculture has acquired an important role in improving the existing problems in this domain, allowing to increase agricultural production and, therefore, the economic profits derived from it. The general objective of precision agriculture is to help and/or improve decision making regarding the quality, productivity, profitability, resource efficiency and sustainability of agricultural production. One way to carry out this objective is to analyze how suitable a type of crop is in the geographical area in which it is located. In this work, a Intelligent Data Analysis process is used and the study that should lead us to obtain knowledge of geographic regions with similar characteristics from climate viewpoint is started. This should allow us to advise farmers in areas with weather conditions that will cause a lower yields, which types of crops will lead to higher yields and could be well suited to their areas because they are getting good yield in zones with similar weather conditions.