High Precision Geomatic Tools for Improving Harvest of Olive Grove in Advance

  1. Ramos, Ma Isabel 1
  2. Jurado, Juan M. 2
  3. Cárdenas, José L. 2
  4. Enríquez, Carlos 1
  5. Ortega, Lidia 3
  6. Martínez, Ma Lourdes 4
  7. Feito, Francisco R. 3
  8. Cubillas, Juan J. 2
  1. 1 Department Ingeniería Cartográfica, Geodésica y Fotogrametría, Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain
  2. 2 Grupo de Investigación Informática Gráfica y Geomática, Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain
  3. 3 Department Informática, Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain
  4. 4 Department Ingeniería química ambiental y de los materiales, Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain
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Libro:
INCREaSE 2019

ISBN: 9783030309374,  9783030309381

Año de publicación: 2019

Páginas: 691-700

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-030-30938-1_53 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

The work presented has the scope of the analysis of environmental sustainability, and more specifically, in agriculture. Agriculture is a fundamental sector in the Spanish economy and even more in the region of Andalusia, being the main exponent the cultivation of olive grove. However, despite the mechanization achieved in most of the cultivation processes of this crop, as well as the permanent progress related to the application of chemical products (fertilizers, pesticides, etc.) there is an important digital divide between the farmer and his farm. In this sense, aspects such as having a rapid and detailed monitoring of the state of the farm such as humidity data, health status of each plant, soil erosion, anticipated production data of each plant…also evolution that may has as a function of climate parameters and in short or long term the type of tillage. All these are factors to which current Geomatics tools can provide coverage with adequate accuracy. Thus, the development of technologies that allow the detailed monitoring over time of an olive grove, both at the level of the plot and individual olive, represents a very important advance in agricultural practice. The objective of this work is to analyze how geomatic tools can help to approach these items. In this sense analysis of series of physical and environmental parameters that must be integrated into a geolocated database. Then, the main advance of this work is by the use of spatial data mining possible to analyze the behavior of the farm in advance.

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