Konstantinos Ferentinos

Konstantinos Ferentinos
Hellenic Agricultural Organization - Demeter | ELGO

PhD

About

86
Publications
56,752
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,381
Citations
Additional affiliations
March 2017 - September 2017
National and Kapodistrian University of Athens
Position
  • Lecturer
October 2010 - August 2013
Technological Educational Institute of Ionian Islands
Position
  • Professor (Assistant)
February 2008 - February 2010
Agricultural University of Athens
Position
  • Lecturer
Education
August 1999 - February 2002
Cornell University
Field of study
  • Biological & Environmental Engineering
August 1997 - August 1999
Cornell University
Field of study
  • Agricultural Engineering
October 1992 - March 1997
Agricultural University of Athens
Field of study
  • Agricultural Engineering

Publications

Publications (86)
Article
Full-text available
Urban parks are important recreational spaces of environmental interest for citizens and city visitors. Targeted and attractive promotion of these areas can help develop alternative forms of “green tourism” and increase environmental awareness among citizens, which is particularly important and vital for the future of the planet. New technologies a...
Chapter
Remote sensing is increasingly being used as a cost effective and practical solution for the rapid evaluation of impacts from wildfires. The recent launch of the Sentinels offers a unique opportunity to assess the impacts of wildfires at both greater spatial and spectral resolutions provided by those Earth observing systems. In this study, an asses...
Chapter
Identification and mapping of hypervelocity impact crater (HIC) sites require significant effort on ground truthing data collection and local instrument‐driven research. The recent advancements in Earth observation (EO) technology and geographical information systems (GIS) have increased our ability to study HICs. With EO imagery and relevant spati...
Preprint
The present study explores the use of the recently launched Sentinel-1 and -2 data of the Copernicus mission inwildfire mapping with a particular focus on retrieving information on burnt area, burn severity as well as inquantifying soil erosion changes. As study area, the Sierra del Gata wildfire occurred in Spain during the summerof 2015 was selec...
Preprint
Earth Observation (EO) provides a unique means of obtaining information on land use/cover and of its changes, which is of key importance in many scientific and practical applications. EO data is already widely used, for example, in environmental practices or decision-making related to food availability and security. As such, it is imperative to exa...
Preprint
Accurate, reliable, and timely burn severity maps are necessary for planning, managing and rehabilitation after wildfires. This study aimed at assessing the ability of the Sentinel-2A satellite to detect burnt areas and separate burning severity levels. It also attempted to measure the spectral separability of the different bands and derived indice...
Preprint
The recent launch of Sentinel missions offers a unique opportunity to assess the impacts of wildfires at higherspatial and spectral resolution provided by those Earth Observing (EO) systems. Herein, an assessment of theSentinel-1 & 2 to map burnt areas has been conducted. Initially the use of Sentinel-2 solely was explored, andthen in combination w...
Preprint
Surface Soil Moisture (SSM) is a key parameter of the global energy and water cycle and knowing its spatio-temporal variability is of key importance in an array of research topics and in several practical applications alike. Recent developments in Earth Observation (EO) have indicated that SSM can be retrieved from different regions of electromagne...
Conference Paper
Full-text available
In this work, a deep learning system for cannabis plants disease, nutrient deficiencies and pests identification is developed, based on image data processed by convolutional neural network models. Training of the models was performed using image data available on the Internet, while database development included data cleansing by expert agronomists...
Article
Earth Observation (EO) provides a unique means of obtaining information on land use/cover and of its changes, which is of key importance in many scientific and practical applications. EO data is already widely used, for example, in environmental practices or decision-making related to food availability and security. As such, it is imperative to exa...
Article
Accurate, reliable, and timely burn severity maps are necessary for planning, managing and rehabilitation after wildfires. This study aimed at assessing the ability of the Sentinel-2A satellite to detect burnt areas and separate burning severity levels. It also attempted to measure the spectral separability of the different bands and derived indice...
Article
Surface Soil Moisture (SSM) is a key parameter of the global energy and water cycle and knowing its spatio-temporal variability is of key importance in an array of research topics and in several practical applications alike. Recent developments in Earth Observation (EO) have indicated that SSM can be retrieved from different regions of electromagne...
Chapter
Full-text available
Although the benefits of stimulating and control of the various physiological properties and growth of plants through the use of artificial lighting have been proven during the last decades, artificial lighting is facing many challenges today, especially due to the fact that horticulture has become a rapidly changing sector. Closed controlled horti...
Article
Water deficit stress is one of the most important growth limiting factors in crop production. Several methods have been used to detect and evaluate the effects of water deficit on plants. In the present study, remote sensing has been used. The objectives were to 1) determine the effects of water deficit on greenhouse crop using spectral indices and...
Article
In this paper, convolutional neural network models were developed to perform plant disease detection and diagnosis using simple leaves images of healthy and diseased plants, through deep learning methodologies.Training of the models was performed with the use of an open database of 87,848 images, containing 25 different plants in a set of 58 distin...
Article
Precision energy management is very important for sustainability development of solar greenhouses, since huge energy demand for agricultural production both in quantity and quality. A proactive energy management, according to the optimal energy utilization in a look-ahead period with weather prediction, is presented and tested in this research. A m...
Article
Early detection of water deficit stress is essential for efficient crop management. In this study, hyperspectral machine vision was used as a non-contact technique for detecting changes in spectral reflectance of a soilless tomato crop grown under varying irrigation regimes. Four different irrigation treatments were imposed in tomato plants grown i...
Article
Full-text available
Crop water status is an important parameter for plant growth and yield performance in greenhouses. Thus, early detection of water stress is essential for efficient crop management. The dynamic response of plants to changes of their environment is called ‘speaking plant’ and multisensory platforms for remote sensing measurements offer the possibilit...
Article
For better time-allocation of stored energy, the solar greenhouse (SGH) is equipped with some storage devices designed economically for local weather: wall storage actively managed with energy-store/retrieve fans and Safety Energy (SE which is a solar collector and fully thermally isolated heat tank) designed for non-regular extreme weather. A proa...
Article
Full-text available
Plant-based measurements Precision agriculture Climate control Spatially distributed environmental measurements at plant level can be used to create a precise and detailed representation of the climate at various regions inside a greenhouse. Climatic heterogeneity can cause significant differences in terms of yield, productivity, quantitative and q...
Article
free access until December 13, 2016 http://authors.elsevier.com/a/1TxFg5Tbkjzmo6 Multisensory platforms for remote sensing measurements offer the possibility to monitor in real-time the crop health status without affecting the crop and environmental conditions. The concept of the speaking plant approach, and plant response based sensing in general...
Article
A mechanistic growth model for tomato seedlings cultivated in unheated beds is developed, based on modifications of existing tomato growth models. Photosynthetically active radiation at crop level, air temperature and CO2 concentration are taken into account, while simulated variables include dry weights of leaves, shoot and root, leaf area index (...
Article
Full-text available
This work proposes the design and operation methodologies of a wireless sensor network (WSN) in the greenhouse environment that can lead to the development of an advanced, distributed monitoring and control system. The combined use of conventional sensors with remote sensing technology embedded in a WSN, together with processing algorithms that pro...
Conference Paper
Full-text available
In modern greenhouses, several measurement points at plant level are required to create an objective and detailed view of the climate at various regions around the covered space. Specific climatic gradients can cause significant differences in terms of yield, productivity, quantitative and qualitative characteristics of the plants, as well as the d...
Conference Paper
Full-text available
Wireless sensor networks (WSNs) consist of battery­powered nodes equipped with specific sensors that collect appropriate information and transmit it wirelessly to a central base­station, which stores the received data for future processing or uses it dynamically for monitoring, control or other purposes. Environmental conditions inside a greenhouse...
Article
Full-text available
We developed a novel artificial neural network (ANN) system able to detect and classify pesticide residues. The novel ANN is coupled, in a customized way, to a cellular biosensor operation based on the bioelectric recognition assay (BERA) and able to simultaneously assay eight samples in three minutes. The novel system was developed using the data...
Article
Full-text available
The present study describes an artificial neural network (ANN) system that uses a cell-based biosensor based on the Bioelectric Recognition Assay (BERA) methodology, for the detection and classification of pesticide residues in food commodities. The insecticidal compounds carbaryl and chlorpyrifos as well as the pyrethroid group were used as models...
Article
We present a memetic algorithm that dynamically optimizes the design of a wireless sensor network towards energy conservation and extension of the life span of the network, taking into consideration application-specific requirements, communication constraints and energy consumption of operation and communication tasks of the sensors. The memetic al...
Article
The present manuscript is the result of research conducted towards a wider use of artificial neural networks in the management of mountainous water supplies. The novelty lies on the evolutionary clustering of time-series data which are then used for the training and testing of a neural object, applying meta-heuristics in the neural training phase,...
Article
Full-text available
This paper describes a system developed to introduce computer management into the cultivation process in low-tech greenhouses. The proposed system is implemented as a web-based application using open source technologies and subsystems comprised of modules that provide: (1) static information about the cultivation process and marketing of the suppor...
Conference Paper
Full-text available
We present a memetic algorithm that dynamically optimizes the design of a wireless sensor network towards energy conservation and extension of the life span of the network, taking into consideration application-specific requirements, communication constraints and energy consumption of operation and communication tasks of the sensors. The memetic al...
Article
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-specific requirements, communication constraints and energy-conservation characteristics. A precision agriculture application of sensor networks is used as an example. We use...
Conference Paper
Traditional means of observing the ocean, like fixed moor- ing stations and radar systems, are difficult and expensive to deploy and provide coarse-grained and data measurements of currents and waves. In this paper, we explore the use of inexpensive wireless drifters as an alternative flexible infras- tructure for fine-grained ocean monitoring. Sur...
Chapter
This chapter presents the recent and near-future uses of information technology (IT) for greenhouse cultivation. After some introduction on the basic physical mechanisms that govern greenhouse cultivation systems, two different approaches to greenhouse management and control are analyzed, the horizontal aspect and the vertical aspect. Then, low-lev...
Chapter
This part of Chapter 7 deals with some recent advancements in the agri-business sector due to the appropriate use of several services available through the Internet. Initially, the general categories of e-business and e-commerce are presented. The possible customer-centered interactions are analyzed and the characteristics of remote service and mai...
Chapter
This chapter presents some theoretical background on supply chains and supply chain management, examines the role of emerging technologies in supply chain management, and provides some information on actions that should be taken to assure environmentally conscious supply chains in agriculture. Then, focus is given to the way supply chain management...
Conference Paper
Traditional means of observing the ocean, like fixed moorings and radar systems, are expensive to deploy and provide coarse-grained data measurements of ocean currents and waves. In this paper, we explore the use of an inexpensive wireless mobile ocean sensor network as an alternative flexible infrastructure for fine-grained ocean monitoring. Surfa...
Article
Full-text available
In this work, a statistical analysis on greenhouse simulations to estimate the efficiency of natural ventilation in a commercial twin-span greenhouse is presented. A numerical simulation approach was adopted using the theory of three-dimensional computational fluid dynamics (CFD). With this approach, three-dimensional patterns for temperature and a...
Article
Full-text available
This work describes the architecture of a system developed to introduce computer management into the cultivation process in low-tech greenhouses. The proposed system is implemented as a web-based application using open source technologies and subsystems comprised of modules that provide: (1) static information about the cultivation process and mark...
Article
Full-text available
This paper presents an analysis on the capabilities of an algorithm for design adaptation of wireless sensor networks towards energy conservation. The application concerns environmental monitoring in a cultivation field that realizes the concepts of precision agriculture. The sensor system is enhanced with solar rechargeable batteries and the algor...
Article
We present a multi-objective optimization methodology for adaptive wireless sensor network design. The proposed approach takes into consideration application-specific requirements, connectivity constraints and energy conservation characteristics. The current work focuses on the dynamic clustering performed by the heuristic design algorithm and inve...
Article
In this work a model to estimate the efficiency of natural ventilation in a commercial twin-span greenhouse is presented. A numerical simulation approach was adopted using the theory of three-dimensional computational fluid dynamics (CFD). With this approach, it was able to generate three-dimensional patterns for temperature and airspeed inside the...
Article
The design of a multi-agent system 〈MAS〉 for integrated management of greenhouse production is described. The model supports the integrated greenhouse production, with targets set to quality and quantity of produce with the minimum possible cost in resources and environmental consequences. The main goal is the Integrated Crop Management (ICM) of ro...
Article
The optimal operation of commercial hydroponic systems depends mainly on the appropriate timely management of the available water sources, especially under saline conditions, as well as on the optimal management of fertilizer injection. In this paper, a decision support system (DSS) for the optimal, on-line, water and fertilizer management of hydro...
Article
Two neural network (NN) applications in the field of biological engineering are developed, designed and parameterized by an evolutionary method based on the evolutionary process of genetic algorithms. The developed systems are a fault detection NN model and a predictive modeling NN system. An indirect or 'weak specification' representation was used...
Conference Paper
In this paper, an approach to optimal design of application-specific wireless sensor networks based on the optimization properties of genetic algorithms, is presented. Specific requirements for a precision agriculture application of sensor networks are taken into account by the genetic algorithm system, together with connectivity and energ y conser...
Article
A genetic algorithm technique is developed for the optimal design of a supplemental lighting system for greenhouse crop production. The approach uses the evolutionary parallel search capabilities of genetic algorithms to design the pattern layout of the lamps (luminaires), their mounting heights and their wattages. The total number and the exact po...
Conference Paper
The design of a multi-agent system for integrated management of greenhouse production is described. The model supports the exchange of information and commands through SMS. The main goal of the MAS is the integrated management of root-zone and aerial environment of the cultivated plants, through the cooperative actions of software agents, which bar...
Conference Paper
Optimal operation of commercial hydroponic systems depends mainly on the appropriate management of the available water sources, especially under saline conditions, as well as the optimal management of fertigation. In this paper, a decision support system (DSS) for the optimal on-line water and fertigation management of hydroponics is presented. The...
Conference Paper
A methodology for PID tuning based on the evolutionary algorithm of Derandomized Evolution Strategy (DES) is presented. The application for testing the system is the water level control of an irrigation channel. The control is performed by overshot gates located along the channel. The available measurements are the water level upstream of each gate...
Conference Paper
Feedforward neural networks are used to develop a self-inspected soilless plant production system (hydroponics) with capabilities of detecting and diagnosing specific mechanical and sensor failures in real-time, during operation. Some effort is also made in detecting biological faults, that is, stressed conditions of the cultivated plants. However,...
Article
In this work, two separate fault detection models are developed: one for the detection of faulty operation of a deep-trough hydroponic system which is caused by mechanical, actuator or sensor faults, and one for the detection of a category of biological faults (i.e. specific stressed situations of the plants), namely the ''transpiration fault''. Th...
Conference Paper
In this paper, the highly nonlinear process of pH and electrical conductivity modeling of a biological system (hydroponics) is investigated using the feedforward methodology of artificial neural networks. A technique based on the evolutionary optimization method of genetic algorithms is used for the synthesis of the neural network model. The geneti...
Article
An important factor for the optimal operation of commercial hydroponic systems is the appropriate management of the available water sources, especially under saline conditions. In this paper, the main properties of a decision support system for the optimal water management of hydroponics are presented. The system consists of two parts, an off-line...
Article
The intelligent computational tools of feedforward neural networks and genetic algorithms are used to develop a real-time detection and diagnosis system of specific mechanical, sensor and plant (biological) failures in a deep-trough hydroponic system. The capabilities of the system are explored and validated. In the process of designing the fault d...
Article
A model is presented that predicts pH and electrical conductivity (EC) changes in the root zone of lettuce (Lactuca sativa cv. Vivaldi) grown in a deep-trough hydroponic system. A feedforward neural network is the basis of that modeling. The neural network model has nine inputs (pH, EC, nutrient solution temperature, air temperature, relative humid...
Conference Paper
Greenhouses are complex systems with many variants and many different user requirements. Modem technologies are cost effective and very powerful to meeting diverse user control and management requirements. Optimization tools are making analytical and expert methods practically applicable. The system described features generalized functions for proc...
Article
In this paper, two heuristic optimization techniques are tested and compared in the ap-plication of motion planning for autonomous agricultural vehicles: Simulated Annealing and Genetic Algorithms. Several preliminary experimentations are performed for both algorithms, so that the best neighborhood definitions and algorithm parameters are found. Th...
Article
Greenhouses are complex systems with many variants and many different user requirements. Modern technologies are cost effective and very powerful to meeting diverse user control and management requirements. Optimization tools are making analytical and expert methods practically applicable. The system described features generalized functions for pro...
Article
In this paper, a comparison of two heating set-point generation algorithms is performed, using well-known greenhouse models and data for a variety of weather conditions. Their main difference isthat the first method uses meteorological weather forecasts to decide on the most appropriate heating setpoints for energy conservation, while the second me...
Conference Paper
In this paper, the basic characteristics of an Industrial Information Management Program for the development of an integrated remote environment for greenhouse management arc presented, More specifically, the characteristics of the intelligent management and quality control of greenhouses system (MACQU) are analyzed. This system was created and dev...
Article
A fault detection model for hydroponic systems, based on the feedforward Neural Network methodology was developed. Three kinds of faults were considered: mechanical, sensor and biological faults. In this paper, a preliminary detection system is presented, which generally detects the existence of any faulty situations. In the developed network, only...
Article
An optimisation-based methodology for irrigation control and nutrient supply is devel-oped using common measurements of greenhouse climate. The process measurement has a long time delay, and a feedforward (FF) control loop based on a model-based estimate of water losses is used. A long feedback loop, by which the FF model is adapted using output er...
Conference Paper
Two stochastic optimization techniques are tested and compared in the application of path planning of autonomous agricultural vehicles: Simulated annealing and genetic algorithms. Several preliminary experimentations are performed for both algorithms, so that the best neighborhood definitions and algorithm parameters are found. Then, the two tuned...