Control

The use of antibiotics is not permitted in Switzerland; moreover, no other medication exists to combat European foul brood. Hives with symptoms must therefore be destroyed in order to limit the outbreak, and the contaminated material must be sanitised. Since prevention is the best cure, early detection is desirable. Numerous studies have been undertaken and documents have been created at the Swiss Bee Research Centre and elsewhere to draw the attention of beekeepers to these problems and inform them about the causes and the control measures to be implemented.

Merkblatt zur erkennung von Bienenbrutkrankheiten (German (PDF, 357 kB, 18.10.2017) and French (PDF, 226 kB, 02.02.2017))
M. Tschumi (2011)

Forecasting food trends using demographic pyramid, generational differentiation and SuperLearner.

Institutional Repository Agroscope

Loginova D., Mann S.

Forecasting food trends using demographic pyramid, generational differentiation and SuperLearner.

Humanities & Social Sciences Communications, 11, 2024, Article 1437.

Téléchargement anglais (795 kB)

Résumé:

The objective of this paper is to predict food consumption patterns for future decades by different social groups while taking generational change into account in the modelling. Using over 20 million observations of households in Switzerland from 1990 to 2017, we develop and apply four forecasting techniques that shift from referenced linear forecasts to population-driven forecasts. Each method considers values of selected household characteristics to define a “social group”, derives the proportion of each social group in society for the years 1990–2050, forecasts the future consumption of 75 food items in each social group in its unique way, and weighs these consumption patterns to obtain a future consumption for the total population. Although the results vary for each of the 75 food items and each method, altogether and in general, they define a narrow interval of future consumption development until 2050. All aspects of the approaches and the comparison of the outcomes contribute to knowledge about possible and nontrivial forecasting techniques on big data and foresight about the future of home food consumption.

ISSN en ligne: 2662-9992
Digital Object Identifier (DOI): https://doi.org/10.1057/s41599-024-03890-w
ID publication (Code web): 58462 Envoyer par e-mail

Début de la page

Tierseuchenverordnung - Abschnitt: Sauerbrut der Bienen (German, French and Italian)

Technische Weisungen des BLV - Sauerbrut (German, French and Italian)

Main Navigation

Agroscope

Search

Breadcrumb

Control

Forecasting food trends using demographic pyramid, generational differentiation and SuperLearner.