Proceedings
Authors
| Filter results3 paper(s) found. |
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1. Intra-row Mechanical Cabbage Weeding Based on Machine VisionCabbage production is strongly influenced by environmental factors such as weather, soil, weeds, and pests, which can reduce both yield and quality. Chemical weeding is efficient and inexpensive but restricted due to environmental and food safety concerns, while manual weeding is safe yet labor-intensive. To address these issues, this study proposes a machine vision–based in-row weeding system that integrates a belt-driven sliding module with an embedded computing platform. Using the YOLOv9-tiny... H. Lin |
2. Sweet Potato Skin Color Analysis Algorithm Based on Image Preprocessing and Color ModelsSweet potato breeding typically requires eight to ten years, during which phenotypic trait measurement and cultivar selection demand substantial labor and time. The Chiayi Agricultural Experiment Station in Taiwan, which hosts the nation’s largest sweet potato germplasm collection, relies heavily on manual phenotypic trait evaluations throughout the breeding process. In particular, the assessment of skin color is highly susceptible to variations in lighting conditions and subjective judgment,... T. Lin |
3. Energy Harvesting and Application of a Tubular Triboelectric Nanogenerator Driven by Water FlowIn recent years, growing awareness of sustainable and environmentally friendly practices has driven the development of innovative renewable energy technologies. To mitigate the environmental impact of energy production, this study proposed a tubular Triboelectric Nanogenerator (TENG) capable of continuously and stably harvesting energy from flowing water. The designed tubular TENG consisted of two structural components: the inner part served as the primary power generation unit, comprising a friction... P. Liao |