A5055621939- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Fuzzy Systems and Optimization
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
- Spectroscopy and Chemometric Analyses
- Isotope Analysis in Ecology
- Geochemistry and Geologic Mapping
- Optimization and Mathematical Programming
- Water Systems and Optimization
- Multi-Criteria Decision Making
- Horticultural and Viticultural Research
- Functional Equations Stability Results
- Hydraulic flow and structures
- Atmospheric and Environmental Gas Dynamics
- Irrigation Practices and Water Management
- Soil and Land Suitability Analysis
- Oceanographic and Atmospheric Processes
- Flood Risk Assessment and Management
- Marine and coastal ecosystems
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Mineral Processing and Grinding
- Fractional Differential Equations Solutions
- Hydrology and Watershed Management Studies
Aristotle University of Thessaloniki
2018-2024
Telio (Norway)
2024
Interbalkan Medical Center
2020-2023
Spectroscopy is a widely used technique that can contribute to food quality assessment in simple and inexpensive way. Especially grape production, the visible near infrared (VNIR) short-wave (SWIR) regions are of great interest, they may be utilized for both fruit monitoring control at all stages maturity. The aim this work was quantitative estimation wine ripeness, four different varieties, by using highly accurate contact probe spectrometer covers entire VNIR-SWIR spectrum (350-2500 nm)....
The existing digital soil maps are mainly characterized by coarse spatial resolution and not up to date; thus, they unable support the physical process-based models for improved predictions. overarching objective of this work is oriented toward a data-driven approach datacube-based tools (Soil Data Cube), leveraging Sentinel-2 imagery data, open access databases, ground truth data Artificial Intelligence (AI) architectures provide enhanced geospatial layers into Revised Universal Soil Loss...
The estimation of the grapes' maturity in field using non-destructive techniques is high interest for high-valued vinified grapes, particularly towards development fully automated agrobots that perform selective harvesting operations. Whereas infrared spectroscopy has been employed point spectrometers laboratory and field, imaging have mainly tested controlled conditions due to issues with varying illumination. In this paper, application autoencoder framework proposed, which transform raw...
Ocean surface radiation measurement best practices have been developed as a first step to support the interoperability of measurements across multiple ocean platforms and between land networks. This document describes consensus by working group experts from land, ocean, aircraft communities. The scope was limited broadband shortwave (solar) longwave (terrestrial infrared) irradiance for quantification budget. Best spectral biological purposes like photosynthetically active color are only...
This study presents a robust framework for spatially explicit monitoring of soil properties and Above Ground Biomass (AGB) estimation in Mediterranean agroforestry cropland systems by integrating remote sensing (RS) artificial intelligence (AI). These variables are critical assimilation into process-based models Soil Organic Carbon (SOC) dynamics within Monitoring, Reporting, Verification (MRV) system. The was developed as part the MRV4SOC project Spain, aimed at designing comprehensive,...
The digital twin concept has found widespread application across diverse industries. Herein, we present a comprehensive conceptual framework for the cognitive soil twin, which embodies intricate physical reality of ecosystem, aiding in its holistic monitoring and comprehension. can seamlessly integrate multitude sensor data sources, including field Internet Things sensors, remote sensing data, measurements, cartography, surveys, other Earth observation datasets. By virtue duality, this...
In-situ infrared soil spectroscopy is prone to the effects of ambient factors, such as moisture, shadows, or roughness, resulting in measurements compromised quality, which amplified when multiple sensors are used for data collection. Aiming provide accurate estimations common physicochemical properties, organic carbon (SOC), texture, pH, and calcium carbonates based on in-situ reflectance captured by a set low-cost spectrometers operating at shortwave region, we developed an AI-based...
In the pursuit of enhancing wine production process through utilization new technologies in viticulture, this study presents a novel approach for rapid assessment grape maturity levels using non-destructive, situ infrared spectroscopy and artificial intelligence techniques. Building upon our previous work focused on estimating sugar content (∘Brix) from visible near-infrared (VNIR) short-wave (SWIR) regions, research expands its scope to encompass pH titratable acidity, critical parameters...
There is a growing realization among policymakers that in order to pave the way for development of evidence-based conservation recommendations policy, it essential improve capacity soil-health monitoring by adopting multidimensional and integrated approaches. However, existing ready-to-use maps are characterized mainly coarse spatial resolution (>200 m) information not up date, making their use insufficient EU’s policy requirements, such as common agricultural policy. This work, utilizing...
In this work, a novel fuzzy FEM (Finite Elements Method) numerical solution describing the recession flow in unconfined aquifers is proposed. general, and drainage problems can be described by nonlinear Boussinesq equation, while introduced hydraulic parameters (Conductivity K Porosity S) present significant uncertainties for various reasons (e.g., spatial distribution, human errors, etc.). Considering general lack of situ measurements these as well certain variability that they field...
Soil properties estimation with the use of reflectance spectroscopy has met major advances over last decades. Their non-destructive nature and their high accuracy capacity enabled a breakthrough in efficiency performing soil analysis against conventional laboratory techniques. As need for rapid, low cost, accurate properties’ estimations increases, micro electro mechanical systems (MEMS) have been introduced are becoming applicable informed decision making various domains. This work presents...
Very well-drained lands could have a positive impact in various soil health indicators such as erosion and texture. A drainage system is responsible for properly aerated soil. Until today, order to design system, big challenge remained find the subsurface drain spacing because many of hydraulic parameters present significant uncertainties. This fact also creates uncertainties overall physical problem solution, which, if not included preliminary studies calculations, bad consequences...
Abstract In this paper, the solution of one-dimensional second-order unsteady nonlinear fuzzy partial differential Boussinesq equation is examined. The physical problem concerns flow in a semi-infinite unconfined aquifer bordering lake. examined problem, there sudden rise and subsequent stabilization lake's water level, thus recharging from boundary conditions are considered and, therefore, ambiguities created to overall problem. Then, translated system crisp value problems. By using...
The agricultural sector and natural resources are heavily interdependent, comprising a coherent but complex system. soil water assessment tool (SWAT) is widely used in assessing these interdependencies for regional watershed management. However, long-term simulations of watersheds considered as not realistic since they have often been performed assuming constant land use over time based on the coarse resolution existing global or national data. This work presents first insights synergy among...
The solution to the second-order fuzzy unsteady nonlinear partial differential one-dimensional Boussinesq equation is examined. physical problem concerns flow in a semi-infinite, unconfined aquifer bordering lake. There sudden rise and subsequent stabilization water level of lake; thus, recharging from presented by simple algebraic transformed fourth-degree polynomial approximation for head profiles. In order solve this equation, initial boundary conditions, as well numerous soil properties,...
Abstract The aim of this paper is to implement fuzzy logic theory in order estimate the discharge for open channels, which a well-known physical problem affected by many factors. can be solved Manning equation but parameters present uncertainties as their true-real values. Especially, n roughness coefficient, an empirically derived presents quite high variation different substrates. With help and utilizing transformation method, it possible include calculation process. In case, feasible...
Classical linear regression has been used to measure the relationship between rainfall data and altitude in different meteorological stations, order evaluate a relation. The values of are supposed as dependent variables elevation each station independent variables. It long known that classical statistical exists annual which many cases is one examined this article. However makes rigid assumptions about properties model, accepting error terms random variables, violation assumption could...
Abstract In this article, the fuzzy numerical solution of linearized one-dimensional Boussinesq equation unsteady flow in a semi-infinite unconfined aquifer bordering lake is examined. The describing problem partial differential parabolic second order. This requires knowledge initial and boundary conditions as well various soil parameters. above auxiliary are subject to different kinds uncertainty due human machine imprecision create ambiguities for problem, method introduced. Since physical...
Abstract In this paper, we propose a comprehensive methodological framework for solving the fuzzy groundwater flow problem in simpler and faster way based on numerical analysis. particular, novel simplified matrix explicit inverse formula is proposed as an efficient method to solve Finite Difference scheme, called Crank–Nicolson implicit scheme. The main advantage of that it offers solution algebraic tridiagonal system equations appeared without affecting accuracy results. Without doubt,...
<title>Abstract</title> The increasing global demand for high-quality agricultural products poses significant challenges water resource management while the traditional irrigation methods, reliant on open canal systems, are inefficient and environmentally detrimental, necessitating a shift to more efficient pressurized networks. However, designing these systems is complex costly, primarily due high expenses associated with pipe materials. This research introduces novel length splitting (PLS)...