- Greenhouse Technology and Climate Control
- Photovoltaic Systems and Sustainability
- Smart Agriculture and AI
- Light effects on plants
- Text Readability and Simplification
- Photovoltaic System Optimization Techniques
- COVID-19 epidemiological studies
- Neurobiology of Language and Bilingualism
- IoT Networks and Protocols
- demographic modeling and climate adaptation
- Phytochemistry and biological activity of medicinal plants
- IoT-based Smart Home Systems
- Innovations in Aquaponics and Hydroponics Systems
- Dementia and Cognitive Impairment Research
- Health disparities and outcomes
- Edible Oils Quality and Analysis
- Language Development and Disorders
- Anaerobic Digestion and Biogas Production
- Biofuel production and bioconversion
- Date Palm Research Studies
- Plant Water Relations and Carbon Dynamics
- Food Supply Chain Traceability
- Agriculture Sustainability and Environmental Impact
- solar cell performance optimization
- Remote Sensing in Agriculture
University of Patras
2021-2024
Food production and energy consumption are two important factors when assessing greenhouse systems. The first must respond, both quantitatively qualitatively, to the needs of population, whereas latter be kept as low possible. As a result, properly control these essential aspects, appropriate environment should maintained using computational decision support system (DSS), which will especially adaptable changes in characteristics external environment. A multilayer perceptron neural network...
Great advancements in technologies such as big data analytics, robots, remote sensing, the Internet of Things, decision support systems and artificial intelligence have transformed agricultural sector. In greenhouse sector, these help farmers increase their profits crop yields while minimizing production costs, produce a more environmentally friendly way mitigate risks caused by climate change. farming, especially Mediterranean region, lack knowledge qualified personnel able to uptake new...
The control of large greenhouse installations, especially those with hydroponics crops, is based on the analysis and use data recorded by many sensors. At same time, size such installations does not allow for their effective terrestrial surveillance, to detect problems promptly. In recent years, there has been an interest in development autonomous agbots equipped agricultural Several ground-based AGV (automated guided vehicles) UAV (unmanned aerial systems have developed open-air plots. A...
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst ongoing COVID-19 pandemic caused by SARS-CoV-2, research holds significant importance as it can offer valuable insights into transmission patterns and assist devising effective intervention strategies. To best of our knowledge, no similar study has been conducted We constructed prototype ABM that utilizes...
This research aims to address the critical challenges caused by global population increase, climate change, and urbanization on food production means of a Fuzzy Logic controller in small-scale greenhouse improving agricultural efficiency sustainability. The growing has stressed significance implementing efficient techniques. Furthermore, impact change extreme weather events complicates process. goal this study is combine an innovative small design with fuzzy logic-based control system order...
Abstract Background Detecting impaired naming capacity is valuable in diagnosing neurocognitive disorders (ND). A. clinical practice- oriented overview of tests validated ND not available yet. Here, features with utility which are open access or for purchase succinctly presented and compared. Methods Searches were carried out across Pubmed, Medline Google Scholar. Additional studies identified by searching reference lists. Only peer-reviewed journal articles eligible. A narrative- tabullar...
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Detecting impaired naming capacity contributes to the detection of mild (MildND) and major (MajorND) neurocognitive disorder due Alzheimer's disease (AD). The Test for Finding Word retrieval deficits (WoFi) is a new, 50-item, auditory stimuli-based instrument.
Abstract Integration of photovoltaic modules into greenhouse roofs is a novel and intriguing method. The cost products grown in greenhouses particularly high because their energy consumption for heating cooling, at the same time increase demand available land, increasing its creating spatial issues, integration photovoltaics on roof highly viable solution. Simultaneously, use solar radiation critical to maintain optimal crop development, while also being renewable source. However, reduce...
Abstract The integration of photovoltaic modules into greenhouse roofs is a novel and intriguing method. Harnessing solar radiation key to ensuring optimal crop growth, as photosynthesis relies on it. Furthermore, capturing by employing systems allows energy production. Given its substantial significance in both generation agriculture, this emphasizes the crucial function that plays these two industries. Greenhouses offer unique opportunity optimize plant growth generation, thereby...
Radiation is a crucial factor in the field of agrivoltaics greenhouses. Depending on type photovoltaics integrated into greenhouses, effect radiation varies through phenomenon shading. Shading greenhouses can be either beneficial or detrimental, making its analysis imperative. In this study, improvements and modifications made an algorithm capable calculating shading from photovoltaic units installed are presented. A key modification to calculation semi-transparent modules, contrast original...
A novel prototype NB-IoT-based quasi-smart water management platform for irrigation is proposed. The has been deployed in a vineyard Peta village, Greece, as part of the AREThOU5A project. An IoT framework regularly and accurately tracking status soil hydration reporting it to centralized entity further processing since needs are directly related moisture based on specialized hardware that includes low-cost microcontrollers with integrated sensor interfaces telecommunication modems,...
In this research, we present the first steps taken towards a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst ongoing COVID-19 pandemic caused by SARS-CoV-2, research holds significant importance as it can offer valuable insights into transmission patterns and assist devising effective intervention strategies. To best of our knowledge, no similar study has been conducted We constructed prototype ABM that utilizes publicly...
Several years have passed since the linear economy model proved unsustainable, leading to transition toward circular (CE) model. Significant amounts of agricultural residues and waste from livestock farming units remain unutilized in fields. The anaerobic digestion (AD) method addresses this issue by generating energy form thermal (TE) electrical (EE). This article examines greenhouse heating using a biogas plant. For purpose, load is developed applied two regions, northern (Florina) central...
Greenhouse systems offer a promising solution for meeting the growing demand food production, especially during off-season crops, without compromising quality and quantity of products. However, significant amount energy consumption in greenhouses, including heating, cooling, lighting, should not be ignored, as it contributes up to half production cost. Given adverse impact fossil fuels on climate change wider political, social, economic context agricultural sector, is essential prioritize...