Erdem Küçüktopçu

Verified

Erdem verified their affiliation via an institutional email.

Learn more

Verified

Erdem verified their affiliation via an institutional email.

Learn more

• Doctor of Engineering
• Professor (Associate) at Ondokuz Mayıs University

This study aims to extend the existing leaf area (LA) models in the literature by introducing four machine learning (ML) models: the extreme learning machine (ELM), k‑nearest neighbor algorithm (KNN), random forest (RF), and multilayer perceptron (MLP). The leaf length (L) and width (W) measurements were based on the longest and largest parts of th...

For accurate estimation of broiler chicken weight (CW), a novel hybrid method was developed in this study where several benchmark methods, including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Differential Evolution (DE), and Gravity Search Algorithm (GSA), were employed to adjust the Random Forest (RF)...

Simple Summary: With rapid technological advances, the use of machine learning in the poultry sector has increased significantly. The estimation of ammonia concentration with machine learning can greatly impact environmental protection as well as human and animal health. In this paper, an innovative hybrid approach combining machine learning with w...

This study investigates the estimation of daily solar radiation (SR) through various machine learning (ML) models, including the k-nearest neighbor algorithm (KNN), support vector regression (SVR), and random forest (RF), both individually and in combination with the wavelet transform (WT). The assessment of these models is based on meteorological...

Simple Summary The aim of this review is to provide researchers with a guide to simulating the environment of poultry houses using computational fluid dynamics. Through an extensive review of the literature in this area, it provides comprehensive insights into the common challenges encountered when applying this method, as well as a discussion of p...

Traditional manual weighing systems for birds on poultry farms are time-consuming and may compromise animal welfare. Although automatic weighing systems have been introduced as an alternative, they face limitations in accurately estimating the weight of heavy birds. Therefore, exploring alternative methods that offer improved efficiency and precisi...

Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning for water resources and agricultural applications. Last 2 decades, machine learning (ML) techniques have enabled scientists to develop powerful tools to study ET0 patterns in the ecosystem. This study investigated the feasibility and effectiveness of three ML tech...

Machine learning (ML) models, including artificial neural networks (ANN), generalized neural regression networks (GRNN), and adaptive neuro-fuzzy interface systems (ANFIS), have received considerable attention for their ability to provide accurate predictions in various problem domains. However, these models may produce inconsistent results when so...

Many models have been developed to predict the energy consumption of various building types, including residential, office, institutional, educational, and commercial buildings. However, to date, no models have been designed specifically to predict poultry buildings’ energy consumption. To address this information gap, this study integrated data-dr...

As the world's population grows, the need for agricultural production increases proportionally. Thus, the planning of agricultural production must be more deliberate. By choosing the most appropriate method and timing, crops can be grown properly. The growing degree days (GDD) method is a technique for evaluating crop growth. In this study, the day...

Temperature stress usually occurs in hot-humid areas, especially in the hot summer months. The increase in the relative humidity with the environmental temperature outside the normal limits adversely affects the well-being and productivity of farm animals. The temperature-humidity index (THI) is employed as a generic criterion in determining temper...

As a result of climate change, Somalia has experienced severe droughts in recent decades because Somalia is a water-scarce country in East Africa with arid and semi-arid environments. In this study, drought in Somalia from 2010 to 2021 was investigated. For this purpose, the agroclimatological data consisting of precipitation, air temperature, and...

An essential parameter for the design of a dairy barn is adequate ventilation. A well-ventilated barn benefits the environment and the animals by reducing stress and improving air quality. The aim of this research was to evaluate the spatial variability of environmental conditions in a free-stall dairy barn using computational fluid dynamics (CFD)...

Cold storage facilities consume a considerable amount of energy, especially in hot climates, which can be decreased using thermal insulators to maintain a stable temperature. The primary aim of this research study was to determine the effect of insulation thickness on the energy efficiency and cost savings of exterior walls for cold storage facilit...

Lettuce is an important vegetable in the human diet and is commonly consumed for salad. It is a source of vitamin A, which plays a vital role in human health. Improvements in lettuce production will be needed to ensure a stable and economically available supply in the future. The influence of nitrogen (N), phosphorus (P), and potassium (K) compound...

Isotope techniques are most frequently used when hydrochemical analysis are insufficient to determine the origin and quality of groundwater and reveal seawater intrusion into groundwater along coastlines. In this study, the potential of the multilayer perceptron, adaptive neuro-fuzzy inference system, generalized regression neural networks, radial...

Isotope techniques are most frequently used when hydrochemical analysis are insufficient to determine the origin and quality of groundwater and reveal seawater intrusion into groundwater along coastlines. In this study, the potential of the multilayer perceptron, adaptive neuro-fuzzy inference system, generalized regression neural networks, radial...

Appropriate microclimate conditions in broiler housing are critical for optimizing poultry production and ensuring the health and welfare of the birds. In this study, spatial variabilities of the microclimate in summer and winter seasons in a mechanically ventilated broiler house were modeled using the computational fluid dynamics (CFD) technique....

This paper presents a comparison of deterministic interpolation methods, including inverse distance weighting (IDW; power 1, 2, and 3) and radial basis function (RBF; basis function: thin-plate spline, natural cubic spline, multilogarithmic function , multiquadric function, inverse multiquadric function, and stochastic interpolation methods, includ...

This study aimed to determine the effect of optimum pipe insulation thickness on energy savings and air pollution under greenhouse conditions. In this regard, an optimization model based on a Life Cycle Cost (LCC) analysis was carried out using the P1–P2 method. Three fuel types, coal, natural gas, and fuel oil, were tested with nominal pipe sizes...

Deep learning (DL) and computer vision applications in precision agriculture have great potential to identify and classify plant and vegetation species. This study presents the applicability of DL modeling with computer vision techniques to analyze the nutrient levels of hydroponically grown four lettuce cultivars (Lactuca sativa L.), namely Black...

Numerous mathematical expressions for growth models have been developed, but each has its own characteristics and limitations. Therefore, this study has investigated whether artificial intelligence (AI) methods can be an alternative to these models. To this aim, four nonlinear (NL) models (logistic, Richards, Gompertz-Laird, and von Bertalanffy) an...

Ammonia (NH3) is a primary air pollutant in poultry farms that affects the ecosystem, environment, and birds and humans' health adversely. Therefore, estimating NH3 concentration is valuable in research on environmental protection, human and animal health, litter management, etc. The study's main objective was to develop a simple, accurate, rapid,...

Buildings consume approximately 36% of the total energy overall in Turkey. Further, space heating and cooling in buildings accounts for more than one-third of the total energy consumed. Therefore, undesirable heat losses are one of the most significant problems in enhancing buildings’ energy efficiency. The most important issue in preventing heat l...

This study examined artificial neural networks' (ANNs) applicability in modeling optimum insulation thickness (OIT), annual total net savings (ATS), and reduction of carbon dioxide emissions (RCO2) that result from insulating buildings. Data from insulation markets, economic parameters, fuel prices, and heating degree days (HDDs) were introduced in...

Some leaf area (LA) estimation models have been developed for different plants under optimum conditions, but to date, none has been developed to model for those grown under stress conditions. In this study, LA of bell pepper grown under different levels of irrigation water salinity (IWS) and irrigation regimes (IR) were estimated by means of compar...

Aim of study: Leaf area (LA) is an important variable for many stages of plant growth and development such as light interception, water and nutrient use, photosynthetic efficiency, respiration, and yield potential. This study aimed to determine the easiest, most accurate and most reliable LA estimation model for the pear using linear measurements o...

Turkey’s poultry industry has experienced significant growth in recent years, resulting in the construction of many new production facilities. It is important to maintain optimum environmental conditions for a profitable production. In this study, temperature, relative humidity and air velocity distribution inside a broiler house were analysed. Com...

An experimental methodology was proposed modeling and mapping of monthly air temperature (T) and relative humidity (RH), using the geographic information system (GIS) techniques. For this purpose, data from 25 different meteorological stations of Somalia were used. Digital layers analysis with basic GIS technology were applied for each individual v...

One of the main objectives of the energy strategy of any country is conservation. Thermal insulation is of utmost importance in the context of energy conservation. Therefore, this study aims to optimize insulation layer for the ten cities of Turkey which have the highest number of laying hens. The yearly heating and cooling loads were determined by...

There are various turbulence models in the computational fluid dynamics (CFD) literature but none has so far proven to be universally applicable. Accurate simulations require the proper choice of model appropriate for each particular situation. In this study, the performance of three types of k-ɛ turbulence model, the standard k-ɛ, renormalisation...

In this paper, the optimum insulation thicknesses, energy savings, payback periods and emission rates of CO2 were determined for poultry buildings in the cities of Antalya, Samsun, Ankara and Erzurum, located in different climates of Turkey. The calculations were made considering five different fuels (coal, fuel-oil, natural gas, LPG and electricit...

In this paper, the daily reference evapotranspiration (ET0) for Bulawayo Goetz was estimated from climatic data using neuro computing techniques. The region lacks reliable weather data and experiences inconsistencies in the measuring process due to inadequate and obsolete measuring equipment. This paper aims to propose neuro computing techniques as...

Hava giris ve cikis acikliklarinin alanlari, konumlari, giris ve cikis acikliklari arasi yukseklik farki, ruzgar yonu, sera geometrisi ve serada yetistirilen bitki cesidi gibi bircok faktor havalandirma sisteminin planlanmasinda etkili olmaktadir. Bu calismada havalandirma sistemlerinin etkisini degerlendirebilmek amaciyla farkli yan duvar yuksekli...

In poultry production, degree-day values are used as fundamental design parameters considered among others in determining the extent of heating and cooling of poultry housing. In this study, heating and cooling data values for each of broiler production period were determined using the degree-day method. The total length of the experiment was 123 d...

Ammonia concentration plays a significant role in broiler performance. High concentration of ammonia impairs the immune system and increases cases of respiratory disease in birds. Ammonia concentration can be reduced using various chemical additives such as zeolite. In the present study, spatial variability of ammonia concentration was investigated...

The objective of this paper is to evaluate the performance of various turbulence models on solution of computational fluid dynamics (CFD) greenhouse simulation. For this purpose, temperature and velocity distributions inside the greenhouse are calculated using three different turbulence models (the standard k-ε model. the renormalization group (RNG...