Like individual weather data measured for a month through the IoT white leaf, it is a system that informs spinach quality prediction information based on the correlation with the sugar content of spinach grown for one month.
There are five types of weather data accumulated in the web DB through the IoT leaf image: temperature, daily temperature, humidity, light quantity, and wind speed. .
The four data of average temperature, average daily temperature, average light intensity, and average wind speed are calculated and displayed in the form of an index to predict spinach quality by obtaining correlations between spinach sugar content and linear regression analysis.
There are five types of weather data accumulated in the web DB through the IoT leaf image: temperature, daily temperature, humidity, light quantity, and wind speed. .
The four data of average temperature, average daily temperature, average light intensity, and average wind speed are calculated and displayed in the form of an index to predict spinach quality by obtaining correlations between spinach sugar content and linear regression analysis.
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