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

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.

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Serrano, J., Shahidian, S. Marques da Silva, J., Moral, F., Rebollo, F. (2017). Proximal sensing for monitoring the productivity of a permanent Mediterranean pasture: influence of rainfall patterns. Advances in Animal Biosciences, 8(2): 796-801.

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