Hakan Nar

ORCID: 0000-0002-5354-6379
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Research Areas
  • Irrigation Practices and Water Management
  • Smart Agriculture and AI
  • Greenhouse Technology and Climate Control
  • Plant Physiology and Cultivation Studies
  • Rice Cultivation and Yield Improvement
  • Plant Water Relations and Carbon Dynamics
  • Soil and Unsaturated Flow
  • Soil Moisture and Remote Sensing
  • Remote Sensing and LiDAR Applications
  • Water Quality Monitoring Technologies
  • Essential Oils and Antimicrobial Activity
  • Remote Sensing in Agriculture
  • Agriculture, Plant Science, Crop Management
  • Plant Ecology and Taxonomy Studies
  • Seedling growth and survival studies
  • Plant Molecular Biology Research
  • Agricultural and Rural Development Research
  • Hydrological Forecasting Using AI
  • Groundwater and Watershed Analysis
  • Spectroscopy and Chemometric Analyses
  • Botany and Plant Ecology Studies
  • Plant Ecology and Soil Science
  • Turfgrass Adaptation and Management
  • Rangeland and Wildlife Management
  • Flowering Plant Growth and Cultivation

Çanakkale Onsekiz Mart Üniversitesi
2018-2025

It is important to identify plants with high drought resistance minimize irrigation water in landscape areas. The experiment was carried out for six months at Çanakkale Onsekiz Mart University COSMOTLAB. study aimed determine the effects of four different levels [(S100), (S75), (S50), (S25)] on plant consumption (ET), morphological and phenological parameters miniature rose varieties (Mandarin, Orange Juwel, Zwergen Fee 09 Zwerkönig 78) frequently used As a result study, according levels,...

10.53471/bahce.1548989 article EN Bahçe 2025-03-25

Today, the use of sensors and imaging techniques, which are used to obtain information about plants soil in smart irrigation systems, is rapidly becoming widespread. This study aimed investigate usability leaf turgor pressure thermal images from plant-based monitoring techniques detect water stress time pepper (Capsicum annuum L. cv. "California Wonder") determine their relationship with physiological traits Canakkale/Türkiye 2017 2018. The four treatments (100%, 75%, 50%, 25%) were applied...

10.1016/j.agwat.2023.108628 article EN cc-by-nc Agricultural Water Management 2023-12-09

Aims: Rice is one of the most applied irrigation waters plant among cultivated plants since it grown in water or saturated soil conditions a significant portion growing season. This study was aimed to determine effects rice on use, development, yield and some parameters using both separately jointly retention barriers subsurface drip methods Enez, Edirne, Turkey 2017.Methods Results: Four different treatments were applied: ponding ((control(C)), system (SDI), + barrier (C+WRB) SDI+WRB this...

10.37908/mkutbd.678748 article EN Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi 2020-08-21

Bu çalışmada, farklı su stresi seviyelerinin iki (beyaz ve mor çiçekli) çuha çeşidinin bitki tüketimine (ET), fizyolojik özelliklerine (yaprak sıcaklığı, stoma iletkenliği, klorofil indeksi, yaprak oransal içeriği), morfolojik (bitki boyu, çapı, çiçek sayısı, petal uzunluğu, eni çapı) hasat (kök kök kuru ağırlığı, yaş ağırlığı) etkilerinin belirlenmesi amaçlanmıştır. Çalışma, 2019 yılında Çanakkale Onsekiz Mart Üniversitesi, Ziraat Fakültesi, Bitki Stresi İzleme Termografi Laboratuvarı’nda...

10.33202/comuagri.777901 article TR ÇOMÜ Ziraat Fakültesi Dergisi 2020-12-21

The researchers aimed to determine the effects of different irrigation levels on plant water consumption (ET), physiological, morphological and biomass traits four miniature rose varieties (Rosa Spp, cv. Mandarin, Orange Juwel, Zwergen Fee 09 Zwergkönig 78). Four (100% (control), 75%, 50%, 25%) were created in experiment. research was carried out at Çanakkale Onsekiz Mart University, Crop Stress Monitoring Thermography Laboratory 2020–2021. Water stress negatively affected physiological...

10.1080/00207233.2024.2422693 article EN International Journal of Environmental Studies 2024-11-01

In this study, the responses of most frequently used grass plants in landscape areas to drought were determined. To ensure continuity and keep them green all seasons, mixtures are widely instead a single species. Therefore, eight different as experimental material. The experiment was carried out under laboratory conditions at two temperatures, 20ºC±1 30ºC±1. plant put into water stress by applying four irrigation treatments both temperatures. determined completing lost moisture pot capacity...

10.58816/duzceod.1549036 article EN Deleted Journal 2024-11-13

Çeltik yetiştiriciliğinde geleneksel göllendirme sulama uygulandığı için diğer bitkilere oranla çok daha fazla su kullanılmaktadır. Bu nedenle, kurak yıllarda çeltik yetiştirilen alanlara sınırlamalar getirilmektedir. çalışma, (Oryza Sativa L. cv. Luna) bitkisinde tasarrufu sağlayan yöntemlerden damla sulamanın (DI) ve tutma bariyerinin (STB) yönteminin çiftçi uygulaması ile arasındaki kullanımı, verim kalite özelliklerindeki farklılığı belirlemek amacıyla yapılmıştır. Araştırma, 2017...

10.33202/comuagri.476982 article TR ÇOMÜ Ziraat Fakültesi Dergisi 2018-12-25

Son yıllarda ucuzlayan bazı toprak nem sensörlerinin kullanımı Arduino mikroişlemci kontrol kartları sayesinde giderek artmaktadır. Buradan hareketle çalışma kapsamında, oldukça ekonomik olan 3 farklı sensörünün son sıklıkla kullanılan kartıyla nemini belirlemede kullanılabilirliği araştırılmıştır. Bu amaçla yapılan çalışmada 4 tipte sensör ele alınmıştır. sensörlerden biri sensörü (10HS, DECAGON) olarak kullanılmış, diğerleri de sensörü, gravity analog ve kapasitif bilinen seçilmiştir....

10.24180/ijaws.846464 article TR Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi 2021-08-19

Meteorology stations sold in the market have various difficulties terms of their use, also these systems are costly to obtain. With state art sensor technologies, development mini weather has become easier. This study focuses on a model station device using temperature, relative humidity, UV, LDR Light, rain and soil moisture sensors collect major environmental data. The measured data were wirelessly transmitted remote for logging via GSM module information was sent database internet...

10.28979/jarnas.984312 article EN Journal of Advanced Research in Natural and Applied Sciences 2022-05-09

Deep learning, machine learning and image processing techniques have become important tools used in facilitating agricultural work developing solutions to different problems the production phase. In this study, a seed number type detection algorithm was developed using YOLO deep architecture, real-time object employing CNN structure AugeLab Studio sofware. With model average loss factor of 0.417 achieved after 3000 iterations. As result analysis, it has been determined that bean...

10.33202/comuagri.1086784 article EN ÇOMÜ Ziraat Fakültesi Dergisi 2022-07-25

Abstract Today, the use of sensors and imaging techniques to obtain information about plants soil in smart irrigation systems is rapidly becoming widespread. This study aimed investigate usability leaf turgor pressure thermal images detect water stress time pepper determine their relationship with physiological traits (leaf potential, stomatal conductivity, superoxide dismutase, catalase activity). For this purpose, (Capsicum annuum L. cv. "California Wonder") experiment was carried out...

10.21203/rs.3.rs-3034985/v1 preprint EN cc-by Research Square (Research Square) 2023-06-13

In this study, it was aimed to determine the effects of irrigation water containing different salt levels on morphological characteristics zinnia (Zinnia elegans). For purpose, five (control, 2 dS m-1, 4 6 m-1 and 8 m-1) were established. As characteristics, plant height, diameter, number flowers, flower stalk length, petal number, width, leaf thickness, length width measured. Irrigation carried out at 7-day intervals. Soil moisture monitored with pot weights. The research in Çanakkale...

10.33202/comuagri.1364646 article EN ÇOMÜ Ziraat Fakültesi Dergisi 2023-12-19

The remote sensing technique is of great importance in agriculture determining vegetation cover, monitoring its development, classification, and yield estimation. Various sofwares, mathematical algorithms, statistical approaches are used to make satellite images meaningful sensing. In this study, it aimed determine the rice plant plots areas by using Augelab Studio sofware, which a new approach artificial intelligence-supported image processing techniques. Using RGB covering an area 2.5 km2...

10.33202/comuagri.1185058 article EN ÇOMÜ Ziraat Fakültesi Dergisi 2022-12-28
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