科技的日益進步，物聯網的發展，帶動了時代不斷前進，但反觀傳統水產養殖卻似乎還未與其接軌，不斷的沿用經驗法則所造成的結果常常就是成效不佳， 如何讓科技與傳統水產養殖結合，利用數據化的分析，降低錯誤判斷機率，變成了目前需要克服的一大課題。我們採用物聯網技術，利用小小一塊Arduino面板，接上顏色感測器並同時在設定時間感測目前水顏色，將數據經由白平衡(White Balance)後，回傳正確RGB數值。收集了不同時間點的RGB數據與檢測後的溶氧度後，針對這兩者數據我們做多變量迴歸分析(Multiple Regression Analysis)，推算結果也發現之間有其相關性，也得到在清晨與傍晚七點兩個迴歸式(Regression)。最後本論文設計了一套示警系統，納入推估出來的迴歸式，以最後推算出來的值，針對白蝦養殖所需溶氧量來做警示。溶氧量感測儀器早已在市面上流通，但是成本過高加上實用度不大的情況下，難以被養殖戶所運用，然後我們設計這一套系統不但大大降低成本，且採用的技術可以達到不需人力即可監測，爾後搭配更多自動化工具，將能真正應用於傳統水產養殖，並真正發揮科技存在價值。 The advancement of technology and the development of IOT let the progress of the times, but the traditional aquaculture seems not yet with its convergence. Continuing to follow the rule of thumb is often the result of poor results, The main issues that need to be overcome at present are how to combine technology with traditional aquaculture and use the data analysis to reduce the probability of false judgments.We use a small piece of Arduino Uno R3 and connect to the color sensor to sense the current color of water. After the data through the White Balance, Arduino return the correct RGB values. We performed Multiple Regression Analysis of RGB and Dissolved Oxygen in order to calculate the correlation. A warning system is designed, and the regressive formula is deduced. Finally, the calculated value is used to do the warning.Dissolved oxygen sensor equipment has long been available in the market circulation, but the high cost and the practical degree of the case is difficult to be used by farmers. However, the system we designed not only greatly reduces the cost, but also can monitor without manpower. It will able to truly apply to traditional aquaculture with more automated tools, and truly perform the value of technology.