IoT system for vine disseas prevention

Increasing grape production by preventing vine diseases using smart sensors
Abstract: 

Constanta Maritime University, Romania, has a multidiciplinary teams involve in the research activity of national and international project. The MERIAVINO project involves electronic, microbiological and computer science research to detect and prevent vine diseases in order to increase the production of organic products. MERIAVINO aims to help farmers and livestock companies access real-time information for personal and agronomy decisions to increase staff comfort and decrease livestock monitoring costs. The mission is to promote smart methods for profitable, ecological and socially responsive agricultural systems.

Innovation description: 

Development of an experimental adaptive system based on IoT technology for the Dobrogean vineyard area, Romania is the aim of the project. Identification, remote monitoring and diagnosis in the vine disseas. The system is based on sensors to collect the data about the soil, plant, athmospheric parameters local and distance storge used in the disgnosis algorithms.The system can also be used in other agronomic farms due to its adaptive part.
 

Problem addressed: 

Energy and nutrient used, soil management, plant diagnosis, organic products, climate change reduction

Solution offered: 

The team of researchers dealing with the monitoring of the vine, from the Maritime University of Constanta, can offer expertise to a consortium to contribute to the Topic 1,2 ,3  on sustenable and resilient croping system in Dobrogean area (South of Roamania). We can design and develop low cost systems for monitoring and diagnosis the viticola farm to prevent the vine disseas, to increase the vine production, to reduce the nutrients, to replace the classical agronomic protocol.

Innovation stage: 

The developed system can compare data from sensors and cameras to diagnose vines in order to prevent diseases that can be seen on the leaves. Adaptive methods are used in data processing so that the system can be used for other plants as well.

SDG: 
12 – Responsible consumption and production
ICT domain: 
2.Robotics/Automated farming
1.Remote Sensing
4.Big data technologies/Artificial Intelligence/Machine Learning
5.Management information systems/ Decision Support System
AGRI domain: 
1.Increase system productivity/competitiveness
2.Pest, disease and weed management
10.Prediction models
14.Agricultural Knowledge Innovation Systems (AKIS)
FOOD domain: 
5.Food quality and safety
2.Reduction of food waste and losses
Technological Readiness Level (TRL): 
Discovery phase (TRL 1,2 & 3)
Project name : 
Multiscale Sensing for Disease Monitoring in Vineyard Production
Project acronym: 
MERIAVINO
Call: 
2019 – Cofund Call on ICT-enabled agri-food systems
Project duration : 
Wednesday, 2 December, 2020 to Saturday, 2 December, 2023
Institution: 
Constanta Maritime University
Role in the project : 
project partner
Members of the research groups: 
Mihaela Hnatiuc
Sorin Sintea
Simona Ghita
Mirel Paun
Bogdan Hnatiuc
Bogdan Savin
Gabriel Raicu
Contact e-mails: 
mihaela.hnatiuc@cmu-edu.eu
simona.ghita@cmu-edu.eu
mirel.paun@cmu-edu.eu
sorin.sintea@cmu-edu.eu
Funders: 
Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI)
References: 
Mihaela Hnatiuc, Bogdan Hnatiuc, Sorin Sintea, Simona Ghita, Aurora Ranca, Victoria Artem, Bogdan Cristian Savin, IOT technology used in vineyard monitoring, 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME
Mihaela Hnatiuc,Bogdan Hnatiuc, Aurora Ranca, Sorin Sintea, Victoria Artem,Simona Ghita, The methods for vine disease identification, 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME), DOI: 10.1109/SIITME532
B.C. Savin, Mihaela Hnatiuc, Methods of health improving using leaf image, Processing, EHB 2021, IEEE International Conference on e-Health and Bioengineering, DOI: 10.1109/EHB52898.2021.9657596, Electronic ISSN: 2575-5145 https://ieeexplore.ieee.org/docum
.Mihaela Hnatiuc, Mirel Paun, Daniel Kapsamun IoT Sensors System for Vineyard Monitoring, 2022 11th International Conference on Frontiers of Intelligent Technologys, 2022, online, France, Paris, presentation, accepted to publication
Bogdan Hnatiuc, Mirel Paun, Sorin Sintea, Mihaela Hnatiuc, Power Management for Supply of IoT Systems, CSCC 2022, 26th International Conference on Circuits, Systems, Communications and Computers Chania, Crete Island, Greece, July 19-22, 2022
Simona Ghiță, Mihaela Hnatiuc, Aurora Ranca, Victoria Artem and Mădălina-Andreea Ciocan, " Studies on the Short-Term Effects of the Cease of Pesticides Use on Vineyard Microbiome ", Book " Vegetation Dynamics, Changing Ecosystems and Human Responsibility
Arun Pandian; V. Dhilip Kumar; Oana Geman; Mihaela Hnatiuc; Muhammad Arif; K. Kanchanadevi, " Plant Disease Detection Using Deep Convolutional Neural Network ", Applied Sciences, 2022-07-10 | Journal article, DOI: 10.3390/app12146982, Impact Factor, 2,83