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Identifier 000438376
Title GRETA: employing AR and web technologies to monitor and control intelligent greenhouses
Alternative Title GRETA: έλεγχος και διαχείριση ευφυών θερμοκηπίων μέσω τεχνολογιών του διαδικτύου και επαυξημένης πραγματικότητας
Author Μπεκιάρης, Ηρακλής Δ.
Thesis advisor Στεφανίδης, Κωνσταντίνος
Reviewer Πλεξουσάκης, Δημήτρης
Πρατικάκης, Πολύβιος
Παπαγιαννάκης, Γεώργιος
Abstract The increased research interest in Precision Agriculture (PA) during the past years has significantly contributed towards supporting the various stakeholders of the agri-food domain with their cultivation activities, in both open fields and greenhouses. Preceding the emergence of PA, the domain of agriculture had already explored the potential application of various technological solutions, which are now further exploited by PA for the benefit of the agri-food sector. In addition, the rapid advancements in Information and Communication Technologies (ICTs) and the emergence of the Internet of Things (IoT), have benefited the primary sector by introducing monitoring facilities via networks of sensors and increasing productivity through automations and mechanized agriculture. Considering the emerging paradigm of Ambient Intelligence, this thesis aims to enhance the interaction between farmers and Intelligent environments in the domain of PA, in order to support the various daily activities aspiring to improve the quality and quantity of cultivated species. Towards this direction, the GRETA system was designed and developed, following a user-centered design process, permitting farmers and agronomists to monitor and control an Intelligent Greenhouse via a set of useful and usable applications. GRETA offers a responsive web application targeting PCs and handheld devices (tablets, smartphones). Moreover, it delivers an Augmented Reality application that visualizes the greenhouse’s interior conditions in a sophisticated manner and provides contextsensitive assistance regarding the cultivation activities required in such environments. In more detail, the system interoperates with the ambient facilities of the ICS-FORTH’s Intelligent Greenhouse, allowing end-users to: a) monitor the conditions inside and outside of the greenhouse; b) remotely control the state of various actuators, thus adjusting the micro-climate inside the greenhouse; c) be notified regarding the available/active automations (e.g. water pump deactivated automatically); d) be aware of the optimal conditions for their plants to grow, and receive relevant guidelines; e) be informed regarding any diseases that may occur, and get recommendations for treating the plants. The aforementioned functionality, is delivered to end-users in a personalized manner, keeping in mind the characteristics and needs of each target group (i.e. professional farmer, hobbyist farmer and production agronomist). Regarding professional farmers, the system permits the remote control and management of the greenhouse, while offering personalized guidelines for cultivation-related tasks. Additionally, aiming to support hobbyists or inexperienced farmers, GRETA provides context-sensitive instructions for planting, caring and harvesting plants, while streamlining communication and knowledge sharing with experienced farmers (i.e. professionals, agronomists). Lastly, the system aids agronomists by offering an overview of the greenhouse’s conditions, the plants’ status, development and growth, so as to support them while making suggestions to the producers towards increasing the quantity and improving the quality of agriculture products (e.g. recommendations for plant caring, disease treatment). This thesis: (a) presents an approach for the study of the domain of PA from the perspective of intelligent environments; (b) reports on existing systems highlighting their shortcomings and the potential for improvements; (c) describes the adopted design methodology and the functionality of GRETA; (d) analyses step-by-step the current implementation; and (e) documents the results of a series of expert-based evaluation in the context of an Intelligent Greenhouse.
Language English
Subject Ambient intelligence
Human-computer interaction
Pervasive applications
Precision agriculture
Remote control
Remote monitoring
Smart greenhouse
Έξυπνο θερμοκήπιο
Αλληλεπίδραση ανθρώπου υπολογιστή
Απομακρυσμένη διαχείριση
Απομακρυσμένος έλεγχος
Γεωργία ακριβείας
Διάχυτες εφαρμογές
Διάχυτη νοημοσύνη
Ευφυές θερμοκήπιο
Issue date 2021-03-26
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/4/7/d/metadata-dlib-1615978262-9045-18588.tkl Bookmark and Share
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