Proceedings

Find matching any: Reset
Hu, Y
Park, J
Add filter to result:
Authors
Wang, X
Hu, Y
Yi, Z
Park, J
Park, J
Park, J
Topics
Profitability, Sustainability and Adoption
Type
Poster
Oral
Year
2014
2025
Home » Authors » Results

Authors

Filter results4 paper(s) found.

1. World Patent Map Analysis Of Mechanization Technologies Relatitng To Rice Production

Patents comprise a unique source for technological knowledge. They are considered to be a good proxy for invention skills, R&D activities and for the scope of technological innovation of countries, regions, sectors and firms. Rice is one of the main field crops. The research focuses on patent mechanization technologies of soil working, planting and harvesting of rice production. Based on DWPI patent database and TI patent analysis software. The temporal examination by publication year... X. Wang, Y. Hu, Z. Yi

2. Rgb-based Soil Water Content Prediction Enhanced by Hyperspectral Calibration

While hyperspectral imaging (HSI) cameras demonstrate high accuracy for detecting soil water content (SWC)-related spectral variations, their field deployment remains constrained by prohibitive costs and operational complexity. This study investigates utilizing low-cost RGB cameras through HSI-guided calibration for SWC estimation. 210 paired HSI-RGB measurements were acquired across five soil texture classes (0-40% fine particles), fourteen moisture levels (0-39% SWC), and three illumination... J. Park

3. Development of a Low-power Wireless Communication System Using Lora for Structural Monitoring in Greenhouse Foundations

Plastic greenhouses dominate protected cultivation in South Korea but are vulnerable to extreme weather and foundation instability. To address this issue, a low-power, low-cost monitoring system was developed to estimate foundation attitude and detect anomalies such as uplift. The system integrates an IMU (Inertial Measurement Unit)-based sensor node, LoRa (Long Range) communication, and a gateway in a star topology. Field tests, including pipe uplift and natural conditions, confirmed comparable... J. Park

4. A Review on Structural Enhancements and Domain-Specific Adaptation of YOLO for Crop-Weed Recognition

This review systematically summarizes YOLO-based weed detection models, focusing on two key directions: attention mechanisms that improve discrimination between visually similar vegetation and lightweight techniques that ensure real-time performance on limited hardware. A comparative analysis of improved YOLO variants highlights how structural optimizations improve detection, offering insights into efficient model design. ... J. Park