Study and carring out of a smart sensors system based on multivariate models to limit unfavourable events in viticulture. Aim of the project is the development of a system for plant protection products uses in viticulture, which is guided in real time via internet and based on a previsional model.

The project AGROBV14 aims to answer a need identified by the European Steep Slope Viticulturalists/wine makers (more about this reality can be found at http://www.dourovalley.eu/en/).

The objective of this project is to propose to wine growers and to oenologists an integrated approach from vineyard to winery, to enhance nitrogen management according to the wine aimed profile. Indeed, the nitrogen content of the grape must is an essential criterion to control and regulate the aromatic quality of the obtained wine and so for their export competitiveness.

CAP'INOV The project, led by the young company INOZY, aims to develop a permanent system of sensors located on the vines, for taking continuous measurements on the water and mineral status of the plant, without implementation destructive measurements.

The project developed by the company C.I.T.F. (Industrial Design & Technology Futures) consists of an automatic berries sorting system, using a robotic device with optical recognition. The objective is to remove all waste and impurities from the harvest that could degrade the quality of the juice obtained for vinification.

The project is focusing the effort to reduce inputs in vineyards. By using new biostimulants based marine algae or plants capable of improving the efficiency of stimulators natural defenses; By developing an embedded imaging processing systems to track the effects of these bio-stimulants and stimulators of natural defenses of plants; By developing a spraying system to optimize their application.

To fight the development of golden flavescence the DAMAV project aims to develop an automated testing solution vine diseases rollover parcels via a micro-drone. The objective is to provide a turnkey tool for winemakers to allow the search for potential outbreaks, and more generally, any type of disease detectable vine foliage. To enable this diagnosis, the partners propose to study the foliage with a drone and a multispectral high-resolution camera.

Improvement of resource-efficience in vineyards with semi-automated acquisition and assessment of environmental indicators The project aims at increasing the resource efficiency in viticulture by a geo-data and software based acquisition of environmental impacts and their evaluation according to environmental indicators. The University of Applied Sciences Bingen is elaborating this scheme cooperating with wineries, the Service Centre Rural Areas = DLR (Rhineland-Palatinate), data security experts and machine-builders.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). development of methods for pre-symptomatic and specific detection of grape diseases like esca, phytoplamosis and viruses as basis for a regional monitoring in vineyards and development of control strategies# Ziel des Vorhabens ist die Entwicklung von Verfahren zur Früherkennung/Frühdiagnose von endogenen Problemkrankheiten der Weinrebe wie Esca, Phytoplasmosen und Virosen.