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Cristina Amaro da Costa

Researcher at Polytechnic Institute of Viseu

Publications -  52
Citations -  529

Cristina Amaro da Costa is an academic researcher from Polytechnic Institute of Viseu. The author has contributed to research in topics: Agriculture & Computer science. The author has an hindex of 8, co-authored 44 publications receiving 285 citations. Previous affiliations of Cristina Amaro da Costa include Instituto Politécnico Nacional & University of Trás-os-Montes and Alto Douro.

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Journal ArticleDOI

Loss rates of honey bee colonies during winter 2017/18 in 36 countries participating in the COLOSS survey, including effects of forage sources

TL;DR: Evaluation of six different forage sources as potential risk factors for colony loss indicated that intensive foraging on any of five of these plant sources was associated with significantly higher winter losses, although this finding requires further study and explanation.
Book ChapterDOI

Brewery and winery wastewater treatment : some focal points of design and operation

TL;DR: In this article, the authors present some key points on design and operation in wastewater treatment of brewery and winery industries, including an introduction of the industrial processes and then wastewater characteristics and treatment processes.
Journal ArticleDOI

Honey bee colony winter loss rates for 35 countries participating in the COLOSS survey for winter 2018–2019, and the effects of a new queen on the risk of colony winter loss

TL;DR: Managed honey bee colony loss rates over winter 2018/19 resulting from using the standardised COLOSS questionnaire in 35 countries are presented, and it is found that, overall, larger beekeeping operations with more than 150 colonies experienced significantly lower losses.
Journal ArticleDOI

Calibration of the Numerical Model of a Short-span Masonry Railway Bridge Based on Experimental Modal Parameters

TL;DR: In this paper, the authors presented and discussed the strategies used to identify the most representative modal parameters of a short span masonry railway bridge, estimated by performing vibration testing to validate and update the numerical models for the bridge structural analysis.