A5016608559- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Water Quality Monitoring and Analysis
- Leaf Properties and Growth Measurement
- Horticultural and Viticultural Research
- Phytochemicals and Antioxidant Activities
- Agriculture, Soil, Plant Science
- Advanced Chemical Sensor Technologies
- Greenhouse Technology and Climate Control
- Tea Polyphenols and Effects
- Soil Geostatistics and Mapping
- Isotope Analysis in Ecology
- Rice Cultivation and Yield Improvement
- Soil Mechanics and Vehicle Dynamics
- Light effects on plants
- Phytochemical Studies and Bioactivities
- Food Quality and Safety Studies
- Garlic and Onion Studies
- Animal and Plant Science Education
- Neural Networks and Applications
- Image and Video Stabilization
- Identification and Quantification in Food
- Microbial Inactivation Methods
Gyeongsang National University
2013-2024
Kyoto University
2004-2012
SUNY Polytechnic Institute
2002
Kwangwoon University
1997
Herein, the development of an estimation model to measure chlorophyll (Ch) and macronutrients, such as total nitrogen (T-N), phosphorus (P), potassium (K), carbon (C), calcium (Ca), magnesium (Mg), in apples is detailed, using key band ratios selected from hyperspectral imagery acquired with unmanned aerial vehicle, for management nutrients apple orchard. The k-nearest neighbors regression (KNR) Ch all macronutrients was chosen best through a comparison calibration validation R2 values. As...
Unmanned aerial vehicle-based multispectral imagery including five spectral bands (blue, green, red, red-edge, and near-infrared) for a rice field in the ripening stage was used to develop regression models predicting yield protein content select most suitable analysis method year-invariant model: partial least squares regression, ridge artificial neural network (ANN). The developed with six vegetation indices (green normalization difference index (GNDVI), red-edge (NDRE), chlorophyll red...
The total nonstructural carbohydrate (TNC) concentration is an important indicator of the growth period and health fruit trees. Remote sensing can be applied to monitor TNC in crops a non-destructive manner. In this study, hyperspectral imaging from unmanned aerial vehicle was estimate apple Partial least-squares regression, ridge Gaussian process regression (GP) were used develop estimation models, their effectiveness using selected key bands as opposed full evaluated effort reduce...
Ground-based hyperspectral imaging was used for estimating the nitrogen content of rice plants at heading stage. The images were separated into two parts: 1) plant; and 2) other elements using equation "GreenNDVI-NDVI." calculated as ratio reflectance plant to that a reference board. Partial least square (PLS) model data (R-PLS model) PLS temperature (RT-PLS) constructed compare accuracy between them. RT-PLS developed improve R-PLS by considering differences weather condition among years....
본 연구는 아스파라거스 4 품종을 이용하여 하우스 및 노지 재배에 따른 생장 특성과 생리활성 물질을 조사하여 국내 재배 가능성을 검토하기 위하여 실험을 수행하였다. 연구결과에 의하면 아스파라거스의 지상부 줄기 개수, 눈의 뿌리의 지상부와 지하부 생체중과 건물중 전체 건물중은 재배에서 재배보다 유의하게 높았다. 품종간에는 Jersey Giant가 다른 품종들보다 개수가 많았다. Supreme의 개수는 총 플라보노이드 함량은 방법에 따라 유의성이 나타내지 않았지만, Giant에서 더 하우스에서 재배된 품종의 폴리페놀 Giant의 품종 간에는 가장 Catalase (CAT) Peroxidase (POX) 활성은 방법과 간에 유의성을 않았다. Ascorbate peroxidase (APX) 높았고, 품종별로는 UC157에서 높게 나타났다. 따라서, 방법은 식물의 측면에서 증수 효과를 기대 할 수 있고 또한 각각 적합한 선발, 다 수확 생리활성도 함께 고려할 필요가 있다. In the...
Treatment of animal and food wastes using a methane fermentation technique is drawing considerable public attention as suitable option for the utilization biomass resources. The application byproduct (methane digested liquid) an agricultural fertilizer has been investigated. Determining appropriate timing required applying liquid on rice (Oryza sativa L.) paddy plot important. concentrations soil nitrogen (N) components yield should be considered because contains both inorganic organic N....