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ÜNAL, HALİL

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ÜNAL

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HALİL

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Now showing 1 - 4 of 4
  • Publication
    Entomopathogenic nematode dispensing robot: Nemabot
    (Elsevier, 2021-02-14) Erdoğan, Hilal; Ünal, Halil; Lewis, Edwin E.; ERDOĞAN, HİLAL; ÜNAL, HALİL; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü; 0000-0002-0387-2600; AAP-5834-2020; IHS-3745-2023
    Entomopathogenic nematodes (EPN) are obligate endoparasites of many insect species and they are important biocontrol agents. Application strategies that improve precision and reduce labor would increase their potential in many cropping systems. We developed a unique robotic system to apply EPNs to a surface area precisely. The robotic system picks up EPNs from a suspension in a reservoir with a peristaltic pump and transfers them to an exact point with an exact amount. Four suspensions were prepared with four concentrations of EPNs; 0.1, 0.2, 0.4 and 0.8 g of commercial EPN product per 2 L of water. All suspensions were applied in three different amounts of water (25, 50 and 100 mL per application). In total, 12 different applications were conducted with the robot. Conical falcon centrifuge tubes were used to collect applied EPNs. Five samples (10 ?l) were taken from collected 25, 50 and 100 mL EPN suspensions and the average nematode number in the samples were scaled to the whole suspension. Results of the experiments showed that all robot applications, except 25 mL?0.1 g dose, were not significantly different from those of the control treatment, application with a pipette.. Thus, the robotic system has been found to make consistent applications.
  • Publication
    Determination of operating parameters in milking robots with free cow traffic
    (Latvia Univ Agriculture, 2015-01-01) Ünal, Halil; Kuraloğlu, Hasan; Malinovska, L; Osadcuks, V; ÜNAL, HALİL; Kuraloğlu, Hasan; Uludağ Üniversitesi; Malinovska, L; Osadcuks, V; AAH-4410-2021; AAH-4410-2021
    In 2012 the first robot milking farm was introduced in Turkey. The basic idea is that cows are milked without human assistance with getting into the milking unit voluntarily at any time of the day. After milking they can move to the feeding area as well as resting area (cubicles). In this paper we studied the capacity of milking robots, daily robotic load, milking frequency per robot per hours, and the analyzed cow traffic has been chosen "free" in the farm. The research shows that every hour a robot milks in the average 6.1 cows. The robotic load at the present cow herd (123 cows) is 77.4 %. Both robots are loaded the same percentage (18.7-18.5 %). The number of herd is plenty enough for two robots. The aim of the research was to state how often the cows come to robots during all day and evaluate the cow traffic system on the farm. Milking average is 2.42 times a day. This is pretty close to the optimal and recommended interval (2.5-3.0 times per day). The robot idle time is approximately 18 %. In this case a large percentage of cows are fetched by workers.
  • Publication
    Comparison of extensive or semi-intensive feeding for anatolian water buffalo
    (United Arab Emirates Univ, 2015-09-01) Degirmencioğlu, Taşkın; Ünal, Halil; Kuraloğlu, Hasan; DEĞİRMENCİOĞLU, TAŞKIN; ÜNAL, HALİL; Kuraloğlu, Hasan; Uludağ Üniversitesi/Karacabey Meslek Yüksekokulu/Yem Teknolojisi ve Hayvan Besleme Bölümü.; Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü.; 0000-0002-1512-1302; AAG-8528-2021; AAH-4410-2021; AAH-4410-2021
    This study was carried out to determine the effects of extensive or semi-intensive feeding on dry matter intake and milk composition in Anatolian water buffalo. Buffaloes were taken into trial in the 1st-2nd months of their lactation. The buffaloes were divided into 2 groups, an extensive group (A) and a semi-intensive group (B) each group consisting of 12 buffaloes. Compared to the A group, the B group consumed more total dry matter (P < 0.05; 13.17 vs. 11.12 kg day(-1)) and produced more milk day(-1) (P < 0.05; 7.34 vs 4.42 kg day(-1)). In the milk samples which were taken from the group A had higher (P < 0.05) milk fat percentage than group B (milk fat = 8.03 and 5.80 %, respectively). The somatic cell count (SCC) (44.7 and 60.3 x log10 mL(-1)), SNF (10.29 and 10.18 %) and protein percentages of milk (4.95 and 4.96 %) were similar for both groups.
  • Publication
    The effect of different milking techniques on the performance of the anatolian water buffaloes
    (Int Buffalo Information Ctr, 2022-04-01) Değirmencioğlu, Taşkın; Ünal, Halil; Kuraloğlu, Hasan; DEĞİRMENCİOĞLU, TAŞKIN; ÜNAL, HALİL; Kuraloğlu, Hasan; Uludağ Üniversitesi/Karacabey Meslek Yüksekokulu/Süt Sağma ve Besicilik Bölümü; Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü; 0000-0002-1512-1302; AAG-8528-2021; IQM-4128-2023; GNR-6843-2022
    This study was carried out to determine the effects of hand and machine milking on milk performance in buffaloes. Twenty-four adult Anatolian water buffaloes (AWB), the age of about (5 and 6 years) old at stage 35 to 37 days of lactation were randomly divided into two similar groups, 12 AWB in each group. As a result of the investigation, it was determined that the machine milking group (2) significantly improved silage dry matter (DM), alfalfa DM and the total DM consumption of the buffalo compared to the handle milking group (1) (P<0.05), (P<0.05) and (P<0.01) While, a significant increase (P<0.01) was observed in the values of milk yield in the buffalo group (2) conducted machine milking compared to that Control group (1) (7.12 to 8.23 kg day(-1)). Another finding of the study was that the application of a pressure of 45 kPa increased the SCC compared to the handle milking group (1) (45.2-68.8x10 log mL(-1)34.30%) (P<0.05). It was determined that regression equation between total DM and milk yield in machine milking was Y = -21.89+4.29 T**, regression coefficient was R-2 = 0.868 and correlation coefficient was r = 0.932 (P<0.001). As a result of the research, the use of machine milking in buffalo enterprises can be recommended both in terms of increasing milk yield and facilitating work.