Miltiadis Iatrou

ORCID: 0000-0002-8965-3053
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Smart Agriculture and AI
  • Soil and Land Suitability Analysis
  • Geochemistry and Geologic Mapping
  • Soil Geostatistics and Mapping
  • Rice Cultivation and Yield Improvement
  • Plant Physiology and Cultivation Studies
  • Atmospheric and Environmental Gas Dynamics
  • Soil Carbon and Nitrogen Dynamics
  • Horticultural and Viticultural Research
  • Growth and nutrition in plants
  • Berry genetics and cultivation research
  • Greenhouse Technology and Climate Control
  • Heavy metals in environment
  • Remote-Sensing Image Classification
  • Urban Stormwater Management Solutions
  • Spectroscopy and Chemometric Analyses
  • Soil and Water Nutrient Dynamics
  • Plant Micronutrient Interactions and Effects
  • Date Palm Research Studies
  • Constructed Wetlands for Wastewater Treatment
  • 3D Modeling in Geospatial Applications
  • Wastewater Treatment and Reuse
  • Remote Sensing and LiDAR Applications
  • Viral Infections and Vectors

Today, bridging precision agriculture (PA) with farm management is a high priority. To answer to this challenge, fertilization service for extended crops was embedded as new module in the platform of pre-existing cloud-based information system (FMIS), namely 'ifarma'. The (namely, 'PreFer') uses interoperable geospatial formats, guarantee free and rapid data exchange between server-based geographic (GIS) ifarma platform. GIS used store process complete farmers' geodatabases, which are fed...

10.1016/j.atech.2023.100175 article EN cc-by-nc-nd Smart Agricultural Technology 2023-01-13

AbstractThe Mehlich 3 method for the determination of available phosphorus (P) is less laborious compared to Olsen and provides advantage multielement analysis. However, in Greece P currently used because its suitability calcareous soils. The aims this study were compare (a) methods 200 soils having different levels pH calcium carbonate (b) colorimetric inductively coupled plasma (ICP) analysis 17 acidic 23 alkaline correlation methods, excluding with than 5 from 10.3 48.3%, resulted a...

10.1080/00103624.2014.911304 article EN Communications in Soil Science and Plant Analysis 2014-06-23

In this research, a model for the estimation of antioxidant content in cherry fruits from multispectral imagery acquired drones was developed, based on machine learning methods. For two consecutive cultivation years, trees were sampled different dates and then analysed their fruits’ radical scavenging activity (DPPH) Folin–Ciocalteu (FCR) reducing capacity. Multispectral images unmanned aerial vehicles same with fruit sampling. Soil samples collected throughout study fields at end season....

10.3390/antiox9020156 article EN cc-by Antioxidants 2020-02-14

The storm 'Daniel' has caused the most severe flood phenomenon that Greece ever experienced, with thousands of hectares farmland submerged for days. This led to sediment deposition in inundated areas, which significantly altered chemical properties soil, as revealed by extensive soil sampling and laboratory analysis. Causal relationships between were extracted using DirectLiNGAM algorithm. Results causality analysis showed affected CaCO3 concentration soil. Also, causal...

10.20944/preprints202401.2140.v1 preprint EN 2024-01-31

This research is an outcome of the R&D activities Ecodevelopment S.A. (steadily supported by Hellenic Agricultural Organization—Demeter) towards offering precision farming services to rice growers. Within this framework, a new methodology for topdressing nitrogen prediction was developed based on machine learning. Nitrogen key element in culture and its rational management can increase productivity, reduce costs, prevent environmental impacts. A multi-source, multi-temporal, multi-scale...

10.3390/agriculture11040312 article EN cc-by Agriculture 2021-04-02

The scope of this research was to provide rice growers with optimal N-rate recommendations through precision agriculture applications. To achieve goal, a prediction yield model constructed, based on soil data, remote sensing data (optical and radar), climatic farming practices. dataset collected from crop surface 89.2 ha cultivated continuously for 5-year period analyzed machine learning (ML) systems. A variational autoencoder (VAE) reconstructing the input applied, resulting in MAE 0.6...

10.3390/rs14235978 article EN cc-by Remote Sensing 2022-11-25

The objective of this study was to develop a methodology for mapping olive plantations on sub-tree scale. For purpose, multispectral imagery an almost 60-ha plantation in Greece acquired with Unmanned Aerial Vehicle. Objects smaller than the tree crown were produced image segmentation. Three features indicated as optimum discriminating trees from other objects plantation, rule-based classification algorithm. After limited manual corrections, final output validated by overall accuracy 93%....

10.3390/jimaging3040057 article EN cc-by Journal of Imaging 2017-12-04

The Mehlich 3 method for the extraction of available micronutrients, such as copper (Cu), iron (Fe), manganese (Mn), and zinc (Zn), is more advantageous compared to diethylene triamine pentaacetic acid (DTPA) method, because it can also be used macronutrients. aim this study was compare DTPA methods 172 soils in Greece having different levels pH calcium carbonate. Single multiple regression analyses were employed evaluate relationship between tests. results correlated well with...

10.1080/00103624.2015.1068322 article EN Communications in Soil Science and Plant Analysis 2015-07-15

The aim of this study is to develop an integrated approach soil quality and fertility assessment in high-yielding rice agro-ecosystems threatened due overexploitation resources by intensive agriculture. proposed implemented considering representative pilot fields allocated throughout a area based on the assumption that soils similar general properties present nutritional status common long-term management practices. analysis includes (a) object-based image for land zonation, (b) hot-spot...

10.3390/agriculture9040080 article EN cc-by Agriculture 2019-04-19

Strawberry plants are relatively unresponsive to nitrogen (N) fertilization. Supraoptimal N application also results in excessive vegetative growth, which competes reproductive growth. Two strawberry field experiments were conducted for two consecutive years using fertigation investigate the effect of different rates on yield and growth an everbearing (cv. Evie II). was injected weekly into drip irrigation system at 0, 0.5, 1, 3, 6 kg N/ha/week first year 2, 3 next year. Fruit fruit number...

10.1080/01904167.2015.1109119 article EN Journal of Plant Nutrition 2015-11-13

ABSTRACT: The performance of duckweed and algal systems in removing fecal bacteria, organic matter, nutrients was evaluated three full‐scale ponds operating series. Trucks collected septage from holding tanks discharged it into the system, daily. inflow rates varied between warm cold season. Duckweed algae naturally colonized two successive periods 10 13 months, respectively. Environmental conditions were determined at various pond depths. Without harvesting, system neutral anoxic. Alkaline...

10.2175/106143014x14062131178754 article EN Water Environment Research 2014-12-01

The determination of time for grape harvest is probably the most important decision wine making producers, because grapes are not climacteric fruits and if they harvested before fully ripe their quality compromised. This sugar content, aroma color compounds increase only non-climacteric fruits. current practice determining berry ripeness includes measurements samples total soluble solids (TSS) pH, but this procedure consuming laborious. On other hand, with development unmanned aerial...

10.1051/ctv/20173201033 article EN cc-by Ciência e técnica vitivinícola/Ciência e técnica vitivinícola 2017-01-01

The objective of this research is to assess the potential satellite imagery in detecting soil heterogeneity, with a focus on site-specific fertilization rice. basic hypothesis that spectral variation would express fertility variations analogously. A 100-ha rice crop, located Plain Thessaloniki, Greece, was selected as study area for 2016 cropping season. Three RapidEye images were acquired during critical growth stages cultivation from previous year (2015). Management zones delineated image...

10.3390/rs12162604 article EN cc-by Remote Sensing 2020-08-12

Hydroponic and field experiments were conducted to assess the optimum nitrogen (N) levels in strawberry leaves for appropriate management of its N nutrition under or protected cultivation. Unlike common view that leaf petiole is right plant organ sample strawberries, study showed blade, most recently fully expanded leaf, more responsive therefore a better indicator supply changes plant. This was attributed distinctive characteristic plants accumulate high concentrations nitrates blades when...

10.1080/01904167.2015.1084006 article EN Journal of Plant Nutrition 2015-09-14

Storm ‘Daniel’ caused the most severe flood phenomenon that Greece has ever experienced, with thousands of hectares farmland submerged for days. This led to sediment deposition in inundated areas, which significantly altered chemical properties soil, as revealed by extensive soil sampling and laboratory analysis. The causal relationships between were extracted using DirectLiNGAM algorithm. results causality analysis showed affected CaCO3 concentration soil. Also, identified available...

10.3390/agriculture14040549 article EN cc-by Agriculture 2024-03-30

<p>The Soil Science Institute of Thessaloniki produces new digitized Maps that provide a useful electronic database for the spatial representation soil variation within region, based on in situ sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with local land cadastre. The novelty these studies is agronomists have immediate access to wide range information by clicking field parcel shown this digital interface and, therefore, can suggest an...

10.30955/gnj.001203 article EN Global NEST Journal 2013-11-14
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