本研究以設計物聯網滴灌系統為研究目標，發現近年農業結構的人口老化以及缺工問題，植物生長面臨氣候異常，造成農業經營上面臨難處，本研究將物聯網滴灌系統帶入，設計為可遠端控制滴灌排程，並加入氣候判斷為條件，讓植物生長穩定的同時亦能達到善用現有資源以解決多方農業問題；為驗證系統可行性，本研究會以自動滴灌與傳統人力澆灌作業進行比較，從植物的生長狀態進行資料分析可得到以下結論:一、物聯網自動滴灌是可以讓植物生長更快速、生長更穩定。二、用物聯網滴灌系統會讓水資源不被浪費，土壤也較能持續保水。三、物聯網滴灌系統大幅減少植物栽種所需要的人力、時間。 This study aims to design an Internet of Things (IoT) drip irrigation system. It addresses the challenges faced by agricultural operations due to the aging population and labor shortages in recent years, as well as the impact of abnormal weather conditions on plant growth. By incorporating IoT technology, the research focuses on designing a remotely controllable drip irrigation schedule that takes into account climate conditions. This allows for stable plant growth while efficiently utilizing existing resources to solve various agricultural problems.To validate the feasibility of the system, the study compares automated drip irrigation with traditional manual watering methods. By analyzing the growth status of the plants, the following conclusions can be drawn:1.IoT automated drip irrigation can promote faster plant growth and improve overall quality.2.Implementing an IoT drip irrigation system prevents water wastage and helps maintain soil moisture.3.The IoT drip irrigation system significantly reduces the manpower and time required for plant cultivation.
