Search Results - "Kabaş,Önder"

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  1. 1

    Real-Time Electrical Resistivity Measurement and Mapping Platform of the Soils with an Autonomous Robot for Precision Farming Applications by Ünal, İlker, Kabaş, Önder, Sözer, Salih

    Published in Sensors (Basel, Switzerland) (01-01-2020)
    “…Soil electrical resistivity (ER) is an important indicator to indirectly determine soil physical and chemical properties such as moisture, salinity, porosity,…”
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    Journal Article
  2. 2

    Quality Assessment of Biofuel Briquettes Obtained from Greenhouse Waste Using a Mobile Prototype Briquetting Machine with PTO Drive by Kabaş, Önder, Ünal, İlker, Sözer, Salih, Selvi, Kemal Cagatay, Ungureanu, Nicoleta

    Published in Energies (Basel) (01-11-2022)
    “…Turkey has a large agricultural area and produces 55–60 million tons of biomass waste/year. This study aimed to obtain bio-briquettes from three types of dried…”
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    Journal Article
  3. 3

    Adaptive Multi-Robot Communication System and Collision Avoidance Algorithm for Precision Agriculture by Ünal, İlker, Kabaş, Önder, Eceoğlu, Osman, Moiceanu, Georgiana

    Published in Applied sciences (01-08-2023)
    “…In precision farming technology, the interest of the researchers has been focused on the applications of autonomous mobile robots for agricultural operations…”
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    Journal Article
  4. 4

    Comparison of two different artificial neural network models for prediction of soil penetration resistance by Ünal, İlker, Kabaş, Önder, Sözer, Salih

    “…A time-varying, nonlinear soil-plant system contains many unknown elements that can be quantified based on analytical methodologies. Artificial neural networks…”
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    Journal Article
  5. 5

    Multiclass Apple Varieties Classification Using Machine Learning with Histogram of Oriented Gradient and Color Moments by Taner, Alper, Mengstu, Mahtem Teweldemedhin, Selvi, Kemal Çağatay, Duran, Hüseyin, Kabaş, Önder, Gür, İbrahim, Karaköse, Tuğba, Gheorghiță, Neluș-Evelin

    Published in Applied sciences (01-06-2023)
    “…It is critically necessary to maximize the efficiency of agricultural methods while concurrently reducing the cost of production. Varieties, types, and fruit…”
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    Journal Article
  6. 6

    A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province by Mehmet Öten, Cengiz Erdurmuş, Semiha Kiremitci, Mustafa Soysal, Önder Kabaş, İlker İnal, Mustafa Avcı, Celal Yücel, Mustafa Sürmen

    Published in Journal of Agricultural Sciences (JAS) (04-09-2020)
    “…This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil…”
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  7. 7

    A multivariate analysis in relation to edaphic and environmental factors of rangelands vegetation of Mugla province by Öten,Mehmet, Erdurmuş,Cengiz, Kiremitçi,Semiha, Soysal,Mustafa, Avcı,Mustafa, Yücel,Celal, İnal,İlker, Kabaş,Önder, Sürmen,Mustafa

    “…This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil…”
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    Journal Article
  8. 8

    Comparison of two different artificial neural network models for prediction of soil penetration resistance by Ünal, İlker, Kabas, Önder, Sözer, Salih

    “…A time-varying, nonlinear soil-plant system contains many unknown elements that can be quantified based on analytical methodologies. Artificial Neural Networks…”
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    Journal Article
  9. 9

    Utilization of grape waste with different moisture content as fuel briquettes by Kabas, Onder

    Published in Biofuels, bioproducts and biorefining (01-01-2024)
    “…In 2020, world fresh grape production increased to 78.03 million metric tons from 77.00 million metric tons in 2019. Approximately 80% of the grapes produced…”
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  10. 10
  11. 11

    AN OVERVIEW OF HAZELNUT HARVESTING MACHINES WITH DIFFERENT DESIGNS by Sauk, Hüseyin, Selvi, Kemal Çağatay, Önder, Kabaş

    Published in Acta Technica Corvininesis (01-04-2019)
    “…Many factors (Topography, soil characteristics, planting technique etc.) affecting the applicability of mechanical harvest in hazelnut. Today, many of these…”
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    Journal Article
  12. 12

    Antalya ili doğal florasından toplanan bazı yonca genotiplerinin yaprak kopma dirençlerinin belirlenmesi by ÖTEN, Mehmet, KABAŞ, Önder, KİREMİTÇİ, Semiha

    Published in Derim (01-06-2018)
    “…Yoncada kaba yem üretiminde büyük kayıplara sebep olan yaprak kırılmalarının minimize edilmesi için, genotipler arasında yaprak kopma direnci açısından bir…”
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    Journal Article
  13. 13

    Determination of leaf breaking strength in some clover genotypes collected from Antalya natural flora by Mehmet ÖTEN, Önder KABAŞ, Semiha KİREMİTÇİ

    Published in Derim (01-06-2018)
    “…The study was conducted to determine whether there is a difference in leaf breaking resistance between genotypes in order to minimize leaf breaks which cause…”
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  14. 14

    REAL TIME STUBBLE COVER RATIO DETERMINATION BY USING AN AUTONOMOUS ROBOT by Ünal, Ilker, Topakci, Mehmet, Çanakci, Murad, Karayel, Davut, Kabaş, Önder

    Published in Annals of Faculty Engineering Hunedoara (01-11-2017)
    “…Stubble cover is one of the most important field parameters to protect the soils. Also, it is a decisive criterion for conventional, no-till and reduced…”
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    Journal Article
  15. 15

    Prediction of Leaf Break Resistance of Green and Dry Alfalfa Leaves by Machine Learning Methods by Ercan, Uğur, Kabas, Onder, Moiceanu, Georgiana

    Published in Applied sciences (01-02-2024)
    “…Alfalfa holds an extremely significant place in animal nutrition when it comes to providing essential nutrients. The leaves of alfalfa specifically boast the…”
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  16. 16

    Prediction of Briquette Deformation Energy via Ensemble Learning Algorithms Using Physico-Mechanical Parameters by Kabas, Onder, Ercan, Uğur, Dinca, Mirela Nicoleta

    Published in Applied sciences (01-01-2024)
    “…Briquetting is a compaction technology that has been used for many years to produce raw materials that are uniform in size and moisture content and are easy to…”
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  17. 17

    Critical Drop Height Prediction of Loquat Fruit Based on Some Engineering Properties with Machine Learning Approach by Kabas, Onder, Ercan, Uğur, Moiceanu, Georgiana

    Published in Agronomy (Basel) (01-07-2024)
    “…The lowest height at which a product can fall without suffering severe harm is known as the “critical drop height” for agricultural products. It is a crucial…”
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    Journal Article
  18. 18

    Prediction of Total Soluble Solids Content Using Tomato Characteristics: Comparison Artificial Neural Network vs. Multiple Linear Regression by Kabaş, Aylin, Ercan, Uğur, Kabas, Onder, Moiceanu, Georgiana

    Published in Applied sciences (01-09-2024)
    “…Tomatoes are among the world’s most significant vegetables, both in terms of production and consumption. Harvesting takes place in tomato production when the…”
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  19. 19

    Deformation Energy Estimation of Cherry Tomato Based on Some Engineering Parameters Using Machine-Learning Algorithms by Kabas, Onder, Kayakus, Mehmet, Ünal, İlker, Moiceanu, Georgiana

    Published in Applied sciences (01-08-2023)
    “…For the design and sizing of equipment and structures in agricultural operations concerning the cherry tomato industry, especially harvesting operations and…”
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  20. 20

    Nondestructive Estimation of Hazelnut ( Corylus avellana L.) Terminal Velocity and Drag Coefficient Based on Some Fruit Physical Properties Using Machine Learning Algorithms by Kabas, Onder, Kayakus, Mehmet, Moiceanu, Georgiana

    Published in Foods (28-07-2023)
    “…Hazelnut culture originated in Turkey, which has the highest volume and area of hazelnut production in the world. For the design and sizing of equipment and…”
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