Multiscale Sensing for Disease Monitoring in Vineyard Production

ROMANIAN

General information

• Cod project: COFUND-ICT-AGRI-FOOD-MERIAVINO-1
• Title project Multiscale Sensing for Disease Monitoring in Vineyard Production
• Acronym: MERIAVINO
• Financing: state budget
• Name of the Program PN III: European and International Cooperation – Subprogram 3.2 – Horizont 2020
• Proiect type: ERANET
• Period of development: 02/12/2020 – 02/12/2023
• Duration of contract: 36 months
• PROJECT BUDGET: 340.900,00 lei represented 70.000,00 euro

Financing sources:

• Source 1 – state budget: 171.234,07 lei represented 35.161,00 euro
• Source 2 – other sources (own financial contribution): 0,00 lei represented 0,00 euro
• Source 3 – European Commision: 169.665,93 lei  represented 34.839,00 euro
• Contracting Authority: Unitatea Executivă pentru Finanțarea Învățământului Superior, a Cercetării, Dezvoltării și Inovării prin Programul Internațional de Cooperare European-de tradus in engleza
• Project manager: dr.ing. Victoria Artem

Phases:

Phase 1/02.12.2021

Phase 2/02.12.2022

Phase 3/02.12.2023

ABSTRACT

Vine disease is a major risk for viticulture, involving economic loss, yield quality reduction and environmental impact when using chemicals for treatment. 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 multi-scale methodology consists of inter-combining and implementing IoT, remote sensing and big data 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. With the goal of reducing economic loss of both quantity and quality, and the environmental impact, various sensors, data fusion techniques, artificial intelligence (AI) with machine learning (ML) methods will be 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.

OBJECTIVES

MERIAVINO aims at helping vine farmers and companies to access real-time information and diagnosis for agronomic decisions. The objective of the proposal is to supervise daily processes using multi-sensing and Agriculture Internet of Things (AIoT) devices in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vineyard monitoring, allowing highprecision analysis.

SPECIFIC OBJECTIVES

Multiscale sensing approach and heterogenous data from vineyards in different countries will enable to develop robust decision tools based on AI through:

H1: Intelligent acquisition methods and processing of Big Data by using dedicated software towards
improving production efficiency and operating costs.

H2: ML approach for finding data patterns enables earlier detection of the vine diseases, and the estimation of yield quality and quantity.

H3: Earlier disease detection will help winegrowers to reduce phytosanitary chemicals.

Estimated results:

1. Grapevine monitoring using the IoT technology in the fields of the Murfatlar Research Station
– implementation of the IoT sensors in situ;
– building a network of IoT sensors;
– saving data in Cloud/FOG;
– data security testing;
– creating models for data processing in the cloud;
– processing and evaluation of the collected data;
– testing the chosen models on the data acquired in situ;
2. Correlation and comparison of results between partners
3. Publication of results in journals, proceeding conferences and applying for an invention patent
4. Annual reports at the end of the stage.

PARTNERS