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Proximal sensing for monitoring the productivity of a permanent Mediterranean pasture: influence of rainfall patterns

Published online by Cambridge University Press:  01 June 2017

J. Serrano*
Affiliation:
Departamento de Engenharia Rural, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554 Évora, Portugal
S. Shahidian
Affiliation:
Departamento de Engenharia Rural, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554 Évora, Portugal
J. Marques da Silva
Affiliation:
Departamento de Engenharia Rural, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554 Évora, Portugal
F. Moral
Affiliation:
Departamento de Expresión Gráfica, Universidad de Extremadura, Badajoz, Spain
F. Rebollo
Affiliation:
Departamento de Expresión Gráfica, Universidad de Extremadura, Badajoz, Spain
*
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Abstract

The main objective of this work was to evaluate technologies that have potential for monitoring aspects related to spatial and temporal variability of soil nutrients and pasture yield and for support to decision making by the farmers. Three types of sensors were evaluated: an electromagnetic induction sensor, an active optical sensor and a capacitance probe. The results are relevant for the selection of the adequate sensing system for each particular application and to open new perspectives for other works that would allow the testing, calibration and validation of the sensors in a wider range of pasture production conditions and rainfall patterns, characteristic of the Mediterranean region.

Type
Precision Pasture
Copyright
© The Animal Consortium 2017 

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