Awards & Success Stories

Two MARS research articles are featured in one of the most prestigious international scientific journals, Computer Networks. The paper entitled ‘A compilation of UAV applications for precision agriculture‘ with authors Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Thomas Lagkas and Ioannis Moscholios has ranked 2nd in readability (most downloaded), while the paper entitled ‘Towards smart farming: Systems, frameworks and exploitation of multiple sources‘ with authors Anastasios Lytos, Thomas Lagkas, Panagiotis Sarigiannidis, Michalis Zervakis, George Livanos is ranked 7th in the list of the 25 most popular works of the journal!

It is worth noting that the two MARS research papers are distinguished among articles from popular research domains, such as 5G and IoT, although they both focus on the same research subject, precision agriculture.

The project






Work Packages



Multi-level Innovation

Smart Farming

Smart Farming

Through the MARS project, the harmonization of the procedures followed in the Greek agricultural production with those provided by the Common Agricultural Policy in the European Union, for the implementation of Smart Agriculture, are achieved.

Internet of Things (IoT)

Internet of Things (IoT)

The MARS project will result in an innovative application that falls within the area of Internet of Things, combining effective data collection and processing mechanisms, supporting data access and decision-making mechanisms.

Machine Learning

Machine Learning

The MARS project utilizes machine learning technologies to optimize the assessment of results regarding detecting phytopathological infestations.

Precision Agriculture

Precision Agriculture

The adoption of Precision Agriculture, which is the primary pillar of the project, is expected to lead to significant multiplier effects on the competitiveness of Greek agricultural products, the economy, prosperity, and employment.

Unmanned Aerial Vehicles

Unmanned Aerial Vehicles

In the MARS project, UAVs are one of the two data sources. They are considered to be one of the most user-friendly application technologies for Internet of Things, thanks to their ability to directly connect and exchange data with any data network.

Computer Vision

Computer Vision

In the MARS project, computer vision technologies are used to optimize the quality of the images obtained from the UAVs, as well as their classification into the categories: "vegetation areas", "dry soil areas", "healthy areas" and "stressed areas".

Information & Communication Technology

Information & Communication Technology

The MARS project utilizes Information & Communication Technologies to accurately and reliably collect information from the field in real-time and connect the recording sources to an integrated information system.

Big Data Analysis

Big Data Analysis

They offer possibilities for risk assessment, prediction of anomalies, and classification of anomalies using thoughtful and probabilistic methods. The MARS project big data analysis for the early detection and diagnosis of disease in trees and plants.

Multispectral Imaging

Multispectral Imaging

The multispectral depiction of the surface of plants and soil at various critical stages of each plant species' development can give valuable information about the general condition of the plant (nutrient or water stress, soil moisture, percentage of weeds or diseases, etc.).

Work Package Structure

Work Package 1 (WP1)

Requirement Analysis & Development and Dissemination Plans

It includes the requirements setting for tree protection and plant protection, the technical specifications of the materials and software to be used in Experimental Demonstrations 5, and designing MARS Architecture. It also includes the activities required for the smooth implementation of the project, the coordination of partners, monitoring the development, the writing and submitting deliverables, the problem solving and communication with the managing authority. Finally, the plan for the commercial and financial exploitation of the project’s results as well as that of dissemination and publicity actions will be drawn up.

Work Package 2 (WP2)

Remote Sensing of Crops

It involves evaluating environmental mapping or reflection methods for approximate crop imaging based on their default texture elements. It also includes the production of 3D soil models to monitor crop growth, on the basis of a comparison between expected crop yields and past crop yields. The WP2 activity also includes digital image processing, computing and machine learning to optimize the quality of images captured by UAVs, and classify them into categories, such as: “vegetation areas”, “dryland areas”, “healthy areas” etc. .

Work Package 3 (WP3)

Support, Imaging and Evaluation of Detection Methods

This WP includes the visualization of the methods for classifying the crops and link them to Geographical Information Systems (GIS). During its development, telematic applications for the management of the MARS program are being developed and a wireless sensor network is designed to monitor physico-chemical parameters related to the cultivation process. Moreover, it includes the evaluation of methods for assessing phytopathological infections and the development and customization of machine learning techniques to classify the extracted areas of the images obtained into “vegetation areas”, “dry soil areas”, “healthy areas” and “abnormal areas”.

Work Package 4 (WP4)

System Integration and UAV Programming

Η συγκεκριμένη ΕΕ περιλαμβάνει την ενοποίηση και παραμετροποίηση όλων των υλικών, αισθητήρων, συσκευών καταγραφής και λογισμικού ΜΕΑ με εκείνη της Αρχιτεκτονικής MARS για την προσομοίωση των πειραματικών επιδείξεων. Στο στάδιο αυτό, εντοπίζονται και αντιμετωπίζονται πιθανά προβλήματα και αδυναμίες του εξοπλισμού και της μεθοδολογίας που θα εφαρμοστεί στις πειραματικές επιδείξεις της ΕΕ5.

Work Package 5 (WP5)

Demonstration Experiments and Evaluation of Results

Demonstration experiments, in the Grevena and Velvento crops, will be conducted in WP5 in order to evaluate, verify and optimize the proposed research mechanisms and techniques of plant protection and tree protection established in the WP1.


Latest News

Workshop on: Challenges of the New Agricultural Policy 2023-2027 - Implementation in Grevena Region

At the workshop organized by the Regional Unit of Grevena on "Challenges of the New Agricultural Policy 2023-2027", the consortium of the MARS project presented the challenges and prospects for "Precision Agriculture" using UAC for the new Agricultural Policy, based on the experience and conclusions drawn from the MARS project.

86th Thessaloniki International Fair

At the booth of the University of Western Macedonia, the public had the opportunity to be informed about the purpose, objectives, actions, and benefits of the project for producers and cooperatives, as well as the innovative methods for the processing and analysis of data from multiple sensors, Unmanned Aerial Vehicles (UAVs) and ground photos.

Earth Festival - People and products

The MARS project participated, through the booth of the Technical University of Crete, in the "Earth Festival - People and Products" that took place in Chania.
At the booth of the Technical University of Crete, the general public had the opportunity to be informed about the purpose, objectives, and actions of the MARS project, its expected results, as well as the possibilities of using the unified architecture for the collection, processing, and analysis of data from multiple sensors from local producers and cooperatives in typical crops of the island.

New Distinctions

Two research articles from the MARS project are distinguished in one of the most prestigious, international scientific journals, Computer Networks. Mars' two research articles are distinguished from articles from many popular, research fields, such as 5G and IoT, although both focus on the same research subject, precision agriculture.

Agrotica 2020

On January 31, 2020, a workshop organized by the International Hellenic University in the framework of the Agrotica 2020 exhibition presented the challenges and prospects for "Precision Agriculture" with the use of drones, as they emerged from the sMart fArming with dRoneS – MARS project.

You can see the presentation in the link

Information Day

On Tuesday, July 2, 10:00 – 13:00, we are waiting for you at the Department of Electrical and Computer Engineering in Kozani (Karamanli & Lygeris – Department Amphitheater) at the informative workshop organized by the MARS consortium: sMart fArming with dRoneS!

Kick-off Meeting

The Kick-off Meeting will take place on 5-10-2018 at the Department of Informatics and Telecommunications Engineering library in Kozani.

©2024 MARS Team


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