ScholarWorks@Gyeongsang National University: Kim, Hyeon Tae

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Kim, Hyeon Tae (김현태)

농업생명과학대학 (생물산업기계공학과)

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Tel 0557721896
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난방에너지:7||GIS:7||greenhouse:6||TRNSYS:6||Greenhouse:6||KSU greenhouse model:5||Ventilation:5||Heating energy:5||환기:5||LED:5||KSU온실모형:4||열수지:4||빅데이터:4||스마트팜:4||표준기상년:4||temperature:4||Pig:4||Foot and mouth disease:4||신재생에너지:3||중금속:3||Green village:3||Biogas:3||Ambient environment:3||Strawberry:3||Glass greenhouse:3||Smartphone:3||유리온실:3||Vegetative phase:3||바이오가스:3||microclimate:3||multiple linear regression:3||온실:3||12W type greenhouse:3||일사량:3||Typical meteorological year:3||Heavy metal:3||heating energy:3||s body temperature:3||온실가스:3||녹색마을:3||Pigs:3||Image processing:3||Heat budget:3||Emission:3||smart farm:3||Image processing technique:3||big data:3||renewable energy:3||구제역:3||Simulation:3||Light source:2||heat budget:2||Ventilation rate:2||regression analysis:2||Cultivation period:2||image processing technique:2||Waste heat:2||Bending test:2||광원:2||Livestock vehicle:2||광질:2||Pepper:2||Combine:2||12W형 온실:2||Hydrogen sulfide:2||Application:2||light quality:2||machine learning:2||Fan coil unit:2||YOLO:2||Yield:2||Pig barn:2||age group and cultivation experience:2||DME:2||Carbon cycle:2||net radiometer:2||탄소배출량:2||탄소순환:2||Soilbin:2||Pig&apos:2||태양에너지:2||Solar air heating:2||Solar energy:2||Plant factory:2||Solar radiation:2||pH:2||팬코일유니트:2||Big data:2||돈사:2||폐열:2||broiler:2||Machine learning models:2||Machine speed:2||carbon dioxide:2||chlorophyll:2||classification:2||무창돈사:2||Membrane module:2||환경제어:2||Strawberry plant:2||환경조절인자:2||Ammonia:2||pyrgeometer:2||Greenhouse gases:2||Greenhouse humidity:2||Pseudomonas fluorescens:2||Greenhouse microclimate:2||흡수율:2||Hollow fiber membrane:2||relative humidity:2||분산분석:2||Greenhouse temperature:2||Biodegradable pot:2||Model:2||Deep learning:2||상대습도:2||Moisture content:2||An enclosed pig house:2||Tablet PC:2||Chicken building:2||Morphology parameters:2||성능계수:2||solar radiation:2||Japanese black cattle:2||CH4:2||CNN:2||식물공장:2||Regression models:2||strawberry:2||Thermal performance:2||CO2:2||Fog cooling:2||environmental control factors:2||야간복사계:2||Root zone areas:2||연령 및 재배경력:2||Agricultural energy:2||Layer:2||엽록소:2||Nutrients:2||Leaf temperature:2||Transplanter:2||온도:2||Sawdust:2||AI:2||typical meteorological year:2||greenhouse cooling:2||Open area level of side window:2||ARIMA:2||온실형태:2||Unglazed transpired collector:2||greenhouse gas:2||Heating cost:2||greenhouse microclimate:2||greenhouse microclimate control:2||greenhouse modeling:2||Coefficient of performance:2||Heating effects:2||GPS:1||GRU:1||Gas chromatography:1||Grain drying:1||Grain yield:1||Grand Rapids(Lettuce):1||Gray mold:1||Gray mold disease:1||Greenhouse evaluation:1||Greenhouse farming:1||Greenhouse type:1||Greenhouse types:1||Ground maintenance:1||Growing media:1||Growing stages:1||HSV colour model:1||HVAC control:1||Hanwoo:1||Hanwoo Supply and Demand Model Based on Traceability Data:1||Harvest:1||Heat exchange efficiency:1||Heat pump:1||Heating:1||Heating demand:1||Horizontal airflow fan:1||Horizontal system:1||Horticulture:1||Hotbox:1||Hybrid renewable energy:1||Hydroponics:1||Hypha growth rate:1||Ice plant:1||Image Classification:1||Image classification:1||Image processing algorithm:1||Immature compost:1||Income Rate Change:1||Individual identification:1||Individual management:1||Indoor temperature:1||Inductively coupled plasma(ICP) spectrometer:1||Inflow:1||Infrared Sensor:1||Infrared sensor:1||Insolation:1||Internet of Things (IoT):1||Inversion ratio:1||Ionselective electrodes:1||Irradiation time:1||KNearest Neighbor:1||K최근접 이웃:1||Kraft paper and newspaper:1||LDA:1||LED (Light Emitting Diode):1||LSTM:1||Landsat8:1||Length in soil:1||Length of cut:1||Lettuce:1||Lettuce plant:1||Light control:1||Light transmission:1||Linkagetype:1||Livestock:1||Livestock disease:1||Livestock manure:1||Livestock manure compost:1||Load cell:1||Loaddisplacement:1||Loading capacity:1||Longterm fertilization:1||ML models:1||MLP:1||MLR:1||MLR model:1||MS2 virus:1||MS2 바이러스:1||Machine learning:1||Machine learning algorithms:1||Machine vision:1||Macroelements:1||Manure:1||Mesembryanthemum crystallinum L.:1||Methane:1||Microelements:1||Microclimate:1||Microclimate monitoring:1||Micronutrients:1||Model evaluation metrics:1||Monitoring:1||Monitoring system:1||Morphometric parameters:1||NDVI:1||NH3:1||Natural ventilation:1||Nearinfrared:1||New &:1||New renewable energy:1||Nitrosodimethylamine:1||Noise reduction:1||Noninvasive:1||Normal hearing range:1||Nutrient ions sensing:1||Nutrient solution composition:1||Nutrients solutions:1||Offset:1||Open field:1||Open swine house:1||Optimization:1||Optimizer:1||Optimum aeration rate:1||Organic Carbon:1||PCA:1||PCMintegration:1||Paddy soil:1||Paper waste:1||Parellel leaf springs:1||Pattern:1||Pepper plants:1||Permeability:1||Phase change material:1||Photosynthesis:1||Photosynthesis path:1||Photovoltaic:1||Pig house:1||Pig manure:1||Pipe:1||Plant growth:1||Plant height:1||Plant moisture:1||Plant nutrition:1||Plant pathogens:1||Planting device:1||Plugtrays:1||Polysulfone:1||Poultry manuresaw dust compost:1||Precision livestock farming:1||Properties:1||Proximity sensor:1||Pupil color:1||Pupillary light reflex:1||Python:1||Quality evaluation:1||RETscreen:1||RGB mean values:1||Radial airflow fan:1||Raw milk:1||Reclaimed land:1||Recovery efficiency:1||Reduction efficiency:1||Reduction of CO2 gas emission:1||Reduction of CO₂ gas emission:1||Reflectivity:1||Regression analysis:1||Renewable energy:1||Rice:1||Rice straw:1||Ripeness:1||Roof inclination:1||Rotation rate:1||Rotational speeds:1||Safety:1||Salt stress:1||Sawdust floor:1||Scoremap:1||Screening device:1||Secondary metabolites:1||Seed germination:1||Seedling pots:1||Selfsufficiency rate:1||Semantic segmentation:1||Sensing errors:1||Sensor:1||Sensors:1||Seolhyang:1||Seoul:1||Serum vitamin a:1||Serviceability:1||Shear strength:1||Short term forecasting:1||Smart Farm:1||Smart farm:1||Smart livestock:1||Soft sensing:1||Soil:1||Soil clod breakage:1||Soil inversion:1||Soil moisture content:1||Soilfree cultivation:1||Solar cell:1||Solar collector:1||Solar heat:1||Solar irradiance:1||Solar radiation Energy consumption:1||Somatic cell:1||Soybean:1||Stability and maturity of compost:1||Statistical models:1||Steel and square pipe:1||Steel pipe:1||Strawberry diseases:1||Strawberry plants:1||Strawberry yield:1||Strip foundation of pipe:1||Structural analysis:1||Subway station:1||Sulfamethazine:1||Sulfamethoxazole:1||Sulfathiazole:1||Synthetic nutrient:1||TRNSYS 18:1||TRNSYS simulation:1||Tablet PCs:1||Tapetum:1||Taxfree Oil:1||Technoeconomic assessments:1||Tedlarbag:1||Temperature:1||Temperature control:1||Terrain classification:1||Thermal energy storage:1||Thermal screen:1||Thermal screen position:1||Thermal storage:1||Threshing bar:1||Tillage cutting depth:1||ToF camera:1||ToF 카메라:1||Trajectory:1||Transfer factor (TF):1||Transfer learning:1||Trichodermaenriched biofertilizer:1||UAV:1||Underground:1||Unet:1||Unglazed trasnpired collector:1||Unidirectional:1||Vehicle loadcell:1||Vehicles:1||Ventilation control:1||Vertical production systems:1||Vitamin A deficiency:1||WSN:1||Waste recycling:1||Water absorption:1||Water bag(WB):1||Water retention capacity:1||Weight:1||Weight sensor:1||Welding pipe:1||Winch:1||Windborne dispersion:1||Wood chips:1||Wood shavings:1||Work machinery:1||YOLOv4:1||absorption:1||air flow:1||algorithm:1||ambient temperature:1||analysis:1||animal welfare:1||array surface temperature:1||artificial light:1||artificial neural networks:1||aspirated radiation shield:1||attention module:1||barn:1||biGRU:1||breeding:1||cameras:1||canopy area:1||chromatography:1||chrysanthemum:1||cloud:1||coefficient of performance:1||colour spaces:1||computational efficiency:1||control plot:1||convective heat transfer coefficient:1||convolutional neural networks:1||covering materials:1||cultivation:1||cyanidin:1||data augmentation:1||data mining:1||deep learning:1||depth information:1||difficulties:1||disease detection:1||distribution:1||drinking duration:1||dry weight:1||early detecting:1||early disease detection:1||eggs:1||electric energy:1||electric power:1||endurance period:1||energy:1||energy analysis:1||energy demand:1||energy estimation:1||energysaving screen:1||environmental control:1||estrus:1||experimental plot:1||fan coil unit:1||fresh fruits:1||fresh weight:1||fruit weight:1||gas collection:1||gradient boost regression:1||gray mold:1||green revolution:1||greenhouse covering:1||greenhouse energy:1||greenhouse energy modeling:1||greenhouse heating and cooling:1||greenhouse thermal environment:1||greenhouse type. heat loss:1||growth characteristics:1||hardy kiwi:1||heat:1||heat energy saving:1||heating and heat insulation:1||heating demand:1||humidity:1||image j:1||image segmentation:1||indoor air temperature:1||indoor microclimate:1||indoor relative humidity:1||information and communications technologies (ICT):1||infrared thermal imaging system:1||inputoutput:1||irrigation:1||leaf area:1||leaf area estimation:1||lightweight network:1||linear regression:1||macronutrients in soil:1||mass:1||membrane:1||model comparison:1||multispan greenhouse:1||naive decomposition:1||natural disaster:1||nearinfrared spectroscopy:1||nipple drinker height:1||nitrogen:1||nondestructive measurement:1||nondestructive methods:1||numbers of plates:1||nutrient management:1||object tracking:1||oil palm:1||overlapping percentage:1||paprika:1||partial least square:1||phosphorus:1||pig behavior:1||pig identification:1||pig posture detection:1||pig&apos:1||pipe corrosion:1||pixel numbers:1||plant factory:1||potassium:1||precision livestock farming:1||prediction:1||production area of control system:1||productivity:1||pyranometer:1||quality assessment:1||ratios:1||red leaf lettuce:1||reflectance:1||season:1||sensors:1||shading screen:1||short and very short terms:1||size selection:1||sky temperature:1||smart farming:1||soil physicochemical parameters:1||solar energy:1||solar irradiance:1||solidity:1||soluble solids content:1||spectrometric analysis:1||standard thermometer:1||status of greenhouse:1||stereo vision:1||storage environment:1||strawberry culture:1||strawberry leaf color:1||structure:1||support vector machine:1||support vector machine regression:1||support vector regression:1||swine:1||swine building microclimate:1||temperature by height:1||temperaturehumidity index (THI):1||thermal screen:1||thermal screen control:1||thermal screens:1||tomato disease:1||total soluble solids:1||transmittance:1||types and sizes of greenhouse:1||variety of strawberry:1||ventilation:1||washed egg:1||water intake:1||water wastage:1||wavelength:1||winter:1||yield analysis:1||가스 크로마토그래피:1||가스 포집:1||가축분뇨:1||가축질병:1||가축차량:1||강관:1||강관 및 각관 파이프:1||강제 흡출식 복사선 차폐장치:1||개방형 돈사:1||건물중:1||고정량:1||곡물건조:1||곡물함수율:1||공기 전파:1||공기식 집열기:1||공기유동:1||공기청정기:1||광조절:1||광투과:1||광합성경로:1||구제역 바이러스:1||구조:1||구조해석:1||국화:1||굽힘 강도:1||굽힘 시험:1||균사생장율:1||균열:1||그린하우스:1||근권부:1||근적외선:1||기초의 형태:1||기초주변의 지반관리:1||기후변화:1||깊이 정보:1||난방:1||난방 및 보온:1||난방방식:1||난방비:1||난방효과:1||내용연수:1||노출 경로:1||녹색혁명:1||농업시설:1||농업에너지:1||높이별 온도:1||대기 확산 모델:1||대류열전달계수:1||대조구:1||데이터 마이닝:1||데이터 증강:1||돈분:1||돼지:1||디스크 헤로우:1||딸기 품종:1||딸기재배:1||매립깊이:1||맴브레인 모듈:1||멤브레인 모듈:1||면세유:1||명암비율:1||무창기공열 집열기:1||물주머니:1||미숙퇴비:1||밀폐형 돈사:1||반사율:1||반전율:1||발광다이오드:1||방위각:1||배기열:1||배출량:1||벤로형 온실:1||부식:1||부유미생물:1||비용:1||비콘 필터링:1||사용성:1||상관분석:1||상추:1||상토:1||생분해성 포트:1||생육특성:1||생체중:1||선별부:1||설향:1||순복사계:1||스마트폰:1||스코어맵:1||스크린:1||스테레오비전:1||시설원예:1||시아니딘:1||식물병원균:1||식물의 생장:1||실험구:1||아스만 통풍습도계:1||아이스플랜트:1||안전성:1||안토시아닌:1||암모니아:1||어레이 표면 온도:1||어플리케이션:1||열손실:1||열회수 환기시스템:1||염료:1||엽온:1||영상처리 알고리즘:1||영양소:1||온도 교환효율:1||온실 열환경:1||온실 형태:1||온실 형태 및 규격:1||온실냉방:1||온실습도:1||온실온도:1||온실의 현황:1||외기온:1||용접 파이프:1||우드칩:1||원유:1||원통수평형 퇴비화 장치:1||유도결합형플라스마분광계:1||유리섬유강화플라스틱:1||육성/비육 돈방:1||이미지J:1||이산화탄소:1||이송부:1||인공광원:1||임신/분만 돈방:1||자급률:1||자돈방:1||자연재해:1||작업기:1||재배 기간:1||잿빛곰팡이병:1||적외선 열화상 카메라:1||적재중량:1||적치마:1||전단강도:1||전력:1||전력량:1||전산유체역학:1||정식기:1||제거 효율:1||제어장치의 생산지:1||줄기초:1||중공사막:1||중량센서:1||증류수:1||지붕각:1||지형분류:1||차량용 로드셀:1||첨가제:1||체세포:1||축산차량:1||축열:1||측창개폐:1||크라프트지와 신문고지:1||크로마토그래피:1||클라우드:1||탄성:1||탄소:1||탄소 원단위:1||태블릿 피시:1||태양광:1||태양복사:1||태양열:1||태양열 집열기:1||태양전지:1||테드라백:1||톱밥:1||퇴비:1||파이프:1||파이프 부식:1||판별분석:1||퍼지제어:1||편익:1||평행 판스프링:1||폐사축:1||포그냉방:1||폴리술폰:1||표준온도계:1||품질평가:1||플레이트 개수:1||피복 자재:1||피복재:1||핑거프린트:1||하중변위:1||함수율:1||행동분류:1||화학성분:1||환경조건:1||환기율:1||황화수소:1||회귀분석:1||회수효율:1||회전율:1||휨 시험:1||흡수량:1||히트펌프:1||2CCD camera:1||3D sensor:1||3차원 센서:1||ANN model:1||ANOVA:1||Absorption:1||Additives:1||Aeration:1||Aeroponic crop cultivation:1||Agricultural facility:1||Agriculture:1||Air collector:1||Air purifier:1||Air temperature:1||Airborne bacteria:1||Airborne disease:1||Airborne fungi:1||Airborne microorganisms:1||Airflow:1||Aluminum Sulfate:1||Analysis of variance:1||Anthocyanin:1||Antibioticresistant bacteria and genes:1||Antioxidant:1||Applications:1||Assman’s psychometer:1||Atmospheric dispersion model:1||Average daily gain:1||Azimuth:1||BLE beacon:1||BLE 비콘:1||Baler machine:1||Base case:1||Batch Size:1||Beacon filtering:1||Beef quality:1||Behavior classification:1||Bending strength:1||Benefit:1||Bidirectional:1||Bio plus compost:1||Biodegradable additives:1||Biodegradation:1||Biological system modeling:1||Biometric characteristics:1||Black garlic:1||Bland?Altman plot:1||Body mass:1||Body parameters:1||Body temperature:1||Breeding management:1||Building:1||C/N:1||C/N ratio:1||CFD:1||CO2 emissions:1||CO2 저감:1||CO2가스 분리:1||CO₂ 저감:1||Carbon:1||Carbon amount basic unit:1||Carbon dioxide:1||Carbon dioxide emissions:1||Carbon emission:1||Carcass:1||Chemical components:1||Chicken manure:1||Chicken manure compost:1||Classification:1||Climate change:1||Climate screens properties:1||Cocopeat:1||Coefficient of determination:1||Colour space:1||Combine cabin:1||Commercial soil:1||Compost:1||Contrast cycle:1||Control soil:1||Conveying unit:1||Convolutional Neural Network:1||Convolutional neural network:1||Convolutional neural networkregression:1||Corn stalk:1||Corrosion:1||Cosimulation:1||Cost:1||Covering material:1||Crack:1||Crop growth:1||Crop yield:1||Cutting knife:1||Cutting speed:1||Cycle System:1||Cylindrical horizontal composting device:1||DVBES:1||Dairy Farm:1||Dairy cattle:1||Dairy cow:1||Deep convolutional neural networks:1||Deep reinforcement learning:1||DeepSORT:1||Disc harrow:1||Disc spacing:1||Discharge:1||Discretisation:1||Discriminant analysis:1||Distilled water:1||Diurnal Activities:1||Draft force:1||Drinking pattern:1||Drinking water:1||Dust:1||Dye:1||Economic analysis:1||Elasticity:1||Embedded depth:1||Emittance:1||Enclosed swine house:1||Energy:1||Energy cost:1||Energy demand:1||Energy management:1||Energy recovery ventilation system:1||Energy saving:1||Envelope characteristics:1||Environmental conditions:1||Environmental management:1||Environmental parameters:1||Epoch:1||Estimated daily intake (EDI):1||Estrus Detection System:1||Ethylene propylene diene monomer (Mclass) rubber (EPDM):1||Exhaust heat:1||Experimental pigs&apos:1||Exposure path:1||FCU:1||Faster RCNN:1||Fat free mass:1||Fat mass:1||Feature extraction:1||Feed intake:1||Feed rate:1||Ferric chloride:1||Fertilization:1||Fertilizers:1||Fiber reinforced plastic(FRP):1||Field test:1||Finetuning:1||Fingerprint:1||Fixation:1||Foot and mouth disease (FMD):1||Footandmouth disease virus (FMDV):1||Foundation type:1||Fruit quality parameters:1||Fuel consumption:1||Fuzzy:1||

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