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|Title: ||Pastor.i _ Uma aplicação de smartphone para facilitar a gestão do pastoreio|
|Authors: ||Sales-Baptista, Elvira|
Ferraz-de-Oliveira, Maria Isabel
Cancela d'Abreu, Manuel
Rato, Luís Miguel
|Issue Date: ||31-Oct-2018|
|Abstract: ||Grazing in extensive beef farming systems is often manage in an empirical way based on
past experience and on the visual appreciation of animal behavior and forage potential.
Records of entrances and exits of the animals in the paddocks in a regular basis are rare.
However, knowing the occupation period and the animal density, when coupled with
biomass defines the grazing pressure and carry capacity. This knowledge is essential for
planning and making informed decisions, that influence the profitability of the farm.
Moreover, adequate grazing pressure is crucial for the sustainability of many SSPs where
system maintenance is dependent on the balance between grazing pressure and
regeneration or maintenance of trees and shrubs.
Pastor.i is a smartphone application (APP) designed to allow pasture data logging to be very
simple. The application is synchronized with the website and allows the producer to have in
his pocket all the farm, being possible to identify the paddock, calculate the area, record the
movements of the animals and consult the occupation history of the paddock. The
application calculates the actual stocking rate, that can be associated with the location of the
animals, obtained if the animals are using collars with GPS, which allows to know the areas
of the paddock that are most grazed, visualized through heat maps. The information enables
localized actions, such as fertilizing or sowing, to improve areas that are not grazed. The
application also allows you to save photos of the sward. This temporal photographic record
provides information on the condition of trees, the botanical composition and on the
tendency of grazing to improve or to worsen coverage. The APP is available for download, is
compatible with Android and is being tested with focus groups.|
|Appears in Collections:||MED - Aplicações Computacionais|
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