Using big data technology to analyze hard clam aguaculture data

碩士 === 國立虎尾科技大學 === 資訊管理系碩士班 === 107 === Hard calm is one of the shellfish farming projects in Taiwan. Its output accounts for about 50% of the total, ranking first among the shellfish production. However, in recent years, the survival rate of Taiwan's clams has become lower and lower, making t...

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Bibliographic Details
Main Authors: DING, SIN-JHE, 丁信哲
Other Authors: HU, NIAN-ZE
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/3a67e9
Description
Summary:碩士 === 國立虎尾科技大學 === 資訊管理系碩士班 === 107 === Hard calm is one of the shellfish farming projects in Taiwan. Its output accounts for about 50% of the total, ranking first among the shellfish production. However, in recent years, the survival rate of Taiwan's clams has become lower and lower, making the price rise. The main reason is that the weather has changed greatly in recent years, the summer temperature has been rising, and the Hard calm cannot grow in areas that are too hot. In addition, due to the recent climate change, the sudden rain will reduce the salt in the fishing rod, causing the disease to become sick. In addition, a lot of organic matter will be derived from the culture. When it is decomposed, many toxic substances will be produced, which will affect the water quality in the pool and make the growth environment of the clams worse. Therefore, this study selected Yunlin Taixi as the area for analysis and analysis, and collected some data in the pool water such as pH, oxygen (DO), oxidation reduction potential (ORP), ammonia nitrogen (NH4), water temperature, and meteorological bureau through SENSOR. The weather data, after integration through the data, try to understand the interaction between weather and water quality. This study uses web crawlers to extract temperature and rainfall data, and connects to the measurement system installed in the fishing rod to read the measured data. After the two groups of heterogeneous data are transmitted through the data file, the removal is invalid. Data and statistical methods were used to analyze the correlation between weather changes and fishery water quality.