Descrizione del progetto
Salvaguardare le api e il settore agricolo europeo
I cambiamenti climatici uniti a una popolazione in crescita e a un declino degli impollinatori e della diversità delle api stanno mettendo a dura prova il settore agricolo. Utilizzando i megadati e l’apprendimento profondo, i ricercatori del progetto hivepoll, finanziato dall’UE, lavoreranno sul rilevamento in tempo reale delle minacce per gli alveari e sulla quantificazione delle prestazioni di impollinazione di un apiario. Utilizzando i dati raccolti, il progetto intende stabilire una nuova piattaforma di scambio di dati tra apicoltori e altre parti interessate nel mercato agricolo. I dati saranno utilizzati anche per la previsione della resa delle colture e per lo sviluppo di modelli migliorati per la gestione dei rischi di fallimento delle colture.
Obiettivo
One out of every three bites of food we eat is there because of pollinators. However, pollinator and especially bee diversity has declined markedly in Europe and a study from 2014 by the university of Reading calculates the existing shortage at seven billion bees. In addition to the challenges from climate change and an ever growing world population the agricultural sector is under tremendous pressure to produce a lot more crop on limited acres and a declining pollinator population. Hivepoll aims to establish a novel data exchange platform between beekeepers and other stakeholder in the agriculture market. The project will not only offer a low-cost visual computing system to detect threats and effectively manage bee hives in real time but also unprecedented insights into the performance of bee colonies as pollinators. Hivepoll allows to predict crop yield and using better models to manage crop failure risks, two features which are among the biggest opportunities for Big Data applications in agriculture. With hivepoll it will become possible to provide an early warning system in case of a low pollination performance as well as being able to counter these adverse effects. Furthermore, an effective parasite detection will contribute to the health of bee colonies and their survival in good health over the winter which is a prime concern of bee keepers and farmers as honey bees are among the few pollinators which are active in sufficient force early in the planting cycle. A fast pollination of crops is extremely important as it alleviates the negative effects of unstable weather conditions such as spring frost. We predict an up to 10% increase in crop yield due to the improved management of pollination by hivepoll. Hivepoll is based on a successfully concluded 2 years research project with universities. In the project important follow-up steps for commercialization will be carried out.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencesbiological scienceszoologyentomologyapidology
- natural sciencescomputer and information sciencesdata sciencedata exchange
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
1040 WIEN
Austria
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.