| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 108 === In the field of agriculture, evapotranspiration is always a significant indicator for irrigation scheduling. However, to a great extent, it is influenced by the surrounding environment, including illumination, relative humidity (RH), air temperature and wind speed, etc. Since growers typically irrigate crops based on their personal experience, this experience-oriented method cannot cope with the weather in a relatively efficient way and the irrigation water requirement of irrigation is at variance with the crop water requirement. As a result of that, this approach often causes the water waste of irrigation.
This study is designed to obtain environmental data during crop growth through the Internet by installing various environmental sensors in the greenhouse. Moreover, based on the environmental data, the evapotranspiration model in the article is able to predict the evapotranspiration of crops which can provide a more accurate crop water requirement for the greenhouse irrigation system, assisting growers to make better judgement according to their irrigation needs. This study is expected to improve the judgment of novice growers on irrigation needs, hoping growers can save more irrigation water and achieve higher efficiency in the greenhouse irrigation system at the same time.
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