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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/21598
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Title: | Proximal sensing for monitoring the productivity of a permanent Mediterranean pasture: influence of rainfall patterns |
Authors: | Serrano, João Shahidian, S. Marques da Silva, J. Moral, F. Rebollo, F. |
Issue Date: | Jul-2017 |
Citation: | 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. In: Abstract book of 11th European Conference on Precision Agriculture (ECPA 2017), July 2017, John McIntyre Centre, Edinburgh, UK, p. 796. |
Abstract: | Site-specific management (SSM) is a form of precision agriculture whereby
decisions on resource application and agronomic practices are improved to better
match soil and crop requirements as they vary in the field. These subfield regions
consist of areas that have similar permanent characteristics. Traditional soil and
pasture sampling and the necessary laboratory analysis are time-consuming and
cost prohibitive, not viable from a SSM perspective. The main objective of this
work was to evaluate, in two years (2015 and 2016), technologies which have
potential for monitoring aspects related to spatial and temporal variability of soil
nutrients and pasture yield and support to decision making for the farmer. Three
types of sensors were evaluated in a 7ha pasture experimental field: an
electromagnetic induction sensor (“DUALEM 1S”, which measures the ECa), an
active optical sensor ("OptRx®", which measures the NDVI) and a capacitance
probe ("GrassMaster II" which estimates plant mass). The results indicate the
possibility of using a soil electrical conductivity probe for monitoring the
characteristics of the soil, which could represent an important aid in simplifying the
process of sampling and support SSM decision making. On the other hand, the
significant and very strong correlations obtained between capacitance and NDVI
and between each of these parameters and the pasture productivity shows the
potential of these tools for monitoring the evolution of spatial and temporal patterns
of biodiverse pasture in Alentejo dry-land farming systems, in two consecutive
years with different rainfall patterns affecting the pasture vegetative cycle. These
results are relevant for the selection of an adequate sensing system for a particular
application and 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, namely the extraordinary diversity of botanical species that are
characteristic of the Mediterranean region. |
URI: | http://hdl.handle.net/10174/21598 |
Type: | lecture |
Appears in Collections: | ERU - Comunicações - Em Congressos Científicos Internacionais MED - Comunicações - Em Congressos Científicos Internacionais
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