Modern irrigation systems utilize sensors and actuators, interconnected together as a single entity. In such entities, A.I. algorithms are implemented, which are responsible for the irrigation process. In this paper, the authors present an irrigation Open Watering System (OWS) architecture that spatially clusters the irrigation process into autonomous irrigation sections. Authors’ OWS implementation includes a Neuro-Fuzzy decision algorithm called FITRA, which originates from the Greek word for seed. In this paper, the FITRA algorithm is described in detail, as are experimentation results that indicate significant water conservations from the use of the FITRA algorithm. Furthermore, the authors propose a new communication protocol over LoRa radio as an alternative low-energy and long-range OWS clusters communication mechanism. The experimental scenarios confirm that the FITRA algorithm provides more efficient irrigation on clustered areas than existing non-clustered, time scheduled or threshold adaptive algorithms. This is due to the FITRA algorithm’s frequent monitoring of environmental conditions, fuzzy and neural network adaptation as well as adherence to past irrigation preferences.

The Greek taxation information system is now in the second decade of its operation. Although many weaknesses were recorded in the first decade, it has been operating sufficiently well during the last five years. One critical factor for the satisfactory performance for each information system is the acceptance by its users. The purpose of this study is to investigate the parameters affecting the positive or negative intentions in the use of information systems by tax office employees, as well as their contribution to the transactions between the public and private sectors and their effects. This article focuses on three important factors: (1) those that affect the acceptance of e-government systems by employees, (2) those that affect employees' intention to accept the e-government services, and (3) the contribution of information systems to electronic transactions their effects. In particular, research is done to identify the parameters that affect the intentions for using TAXIS platform by tax office employees of four branches in the Region of Eastern Macedonia and Thrace.

Learning management systems (LMSs) are software tools designed to manage user learning interventions. On the other hand, in most LMSs there are neither appropriate metrics nor algorithms embedded in them which would facilitate their qualitative and quantitative measurement. The purpose of this paper is to use existing techniques in a different way, in order to analyse the log file of an LMS. Three metrics, enrichment, homogeneity and interest in course usage measurement are used. Data mining techniques, such as classification, clustering and association, are applied to the LMS data with the use of the open source software tool Weka. Two algorithms for course classification and suggestion actions are also described. A case study based on the proposed approach was applied to LMS data from a Greek University. The results confirmed the validity of the approach and showed a strong relationship between the course usage and the corresponding students' grades in the exams.

The digital supply chain is a reality since markets are demanding efficiency, agility, and flexibility for modern supply chains. Digitalization can have a major impact on the supply chain. The aim of the study is to deepen the knowledge and understanding of the digitalization of the supply chain. It explores executives' attitudes towards the use of trends and technologies in supply chain. It identifies the factors that affect executives' attitudes towards those trends and technologies, and it classifies them into groups according to their similar behaviour patterns and profiles each group of respondents according to the characteristics of their companies. The main factors are mobility, human factors, and pricing. Characteristics such as type of company, year of establishment, number of employees, technological infrastructure have an impact on executives' behaviour. The survey revealed a few noteworthy findings that may influence companies for resource reallocation and strategically shift resources to create more value and deliver higher returns to shareholders.

Success is the main purpose in any entity. So, in any educational institute, the education offered must be successful. It seems that some factors are critical to achieve it. Web Based Learning (WBL) has some specific factors which are studied in this paper. These factors are the characteristics of Instructors, Students, Information and Communication Technology (ICT) and ICT used by school Support. In this perspective, the research purpose of this study is to present, investigate and assess the factors that influence and lead to successfully use the Web Based Learning. It also studies the dependence of the proposed five factors and their interrelationships. The results based on a structured questionnaire which was distributed and completed in a Greek university. Both exploratory and confirmatory factor analyses were used.