Proceedings
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| Filter results3 paper(s) found. |
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1. Deep Learning-based Detection and Quantity of Livestock CarcassesIn recent years, livestock farming in Taiwan has gradually expanded. However, due to geographical constraints and regulatory restrictions, local farms are not permitted to bury or burn culled livestock carcasses on their own. As a result, farms must commission rendering trucks to collect and transport the carcasses to centralized rendering plants for processing. At the rendering plants, the manager are required to recount the number of carcasses. However, the large quantity and irregular arrangement... C. Chuang |
2. AI-driven Evapotranspiration Prediction Using Plant Wearable Sensor for Smart IrrigationThe global expansion of greenhouse cultivation has created a need for reliable crop evapotranspiration (ET) estimation to enable precise irrigation, thereby improving yields, enhancing crop quality, and addressing challenges related to water scarcity and environmental sustainability. This study proposes the development of a plant signal-based artificial intelligence (AI) model for ET prediction, tailored to the unique environmental conditions of greenhouse systems. Unlike empirical models that... W. Cho |
3. Development of an In-line Sc-ise Sensor System for Closed Hydroponic Nutrient MonitoringNutrient monitoring is crucial in closed hydroponic systems, where accurate control over individual ion concentrations directly influences crop yield and fertilizer efficiency. While electrical conductivity (EC) sensors are commonly used, they only measure total ionic strength and cannot distinguish between specific ions. Liquid-contact ion-selective electrodes (LC-ISEs) have been studied as an alternative but tend to suffer from durability issues and signal instability under the high-flow conditions... Y. Jang, W. Cho |