Lin-Hang Kao
Research Subjects
Research Interests
Lin-Hang Kao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chun-Hao Chang
Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan
1 shared publication - Lan-Da Van
Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
1 shared publication - Syuan-Ru Peng
Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan
1 shared publication - Tsung-Han Wu
Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan
1 shared publication - Yi-Bing Lin
College of Artificial Intelligence, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
1 shared publication - Yun-Wei Lin
College of Artificial Intelligence, NYCU, Hsinchu, Taiwan
1 shared publication
Latest Publications
- Open Access
PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box
This paper proposes an IoT-based intelligent hydroponic plant factory solution called PlantTalk. The novelty of our approach is that the PlantTalk intelligence can be built through an arbitrary smartphone. We show that PlantTalk can flexibly configure the connections of various plant sensors and actuators through a smartphone. One can also conveniently write Python programs for plant-care intelligence through the smart phone. The developed plant-care intelligence includes automatic LED lighting, water spray, water pump and so on. As an example, we show that the PlantTalk intelligence effectively lowers the CO2 concentration, and the reduction speed is 53% faster than a traditional plant system. PlantTalk has been extended for a plant factory called AgriTalk.
Open AccessPlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box
This paper proposes an IoT-based intelligent hydroponic plant factory solution called PlantTalk. The novelty of our approach is that the PlantTalk intelligence can be built through an arbitrary smartphone. We show that PlantTalk can flexibly configure the connections of various plant sensors and actuators through a smartphone. One can also conveniently write Python programs for plant-care intelligence through the smart phone. The developed plant-care intelligence includes automatic LED lighting, water spray, water pump and so on. As an example, we show that the PlantTalk intelligence effectively lowers the CO2 concentration, and the reduction speed is 53% faster than a traditional plant system. PlantTalk has been extended for a plant factory called AgriTalk.