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MERIAVINO
Multiscale Sensing For Disease Monitoring In Vineyard Production
FunderFrench National Research Agency (ANR)
Funder Contribution €306,470.00
DurationFrom 01 Nov 2021
Project codeANR-21-ICAF-0002
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Description
MERIAVINO project advocates a multidisciplinary approach, which is based on several scientific fields to address the problem of disease and yield estimation in vineyard. The proposed methodology consists of inter-combining and implementing IoT, remote sensing and big data with a multi-scale approach in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vine disease detection/warning. In order to reduce economic loss of both quantity and quality, and the environmental impact, various sensors, data fusion techniques and artificial intelligence and machine learning methods are combined along with the development of reprintable sensors for effective vineyard monitoring.The project results are then analysed and geo-visualised on compatible MobApp for end-users for decision-making and early prevention.
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MERIAVINO project advocates a multidisciplinary approach, which is based on several scientific fields to address the problem of disease and yield estimation in vineyard. The proposed methodology consists of inter-combining and implementing IoT, remote sensing and big data with a multi-scale approach in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vine disease detection/warning. In order to reduce economic loss of both quantity and quality, and the environmental impact, various sensors, data fusion techniques and artificial intelligence and machine learning methods are combined along with the development of reprintable sensors for effective vineyard monitoring.The project results are then analysed and geo-visualised on compatible MobApp for end-users for decision-making and early prevention.
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