The purpose of this study is to build a forecast system for predicting at minimum air
temperature in the next morning from the meteorological data, such as air temperature,
humidity, and the amount of solar radiation, in a field in the evening on the previous day. The
meteorological data are sent to a relay server, and then, transferred to a PC in our laboratory
of Okayama University by executing the computer program to import the data which are used
to calculate the predicted values of minimum air temperature. The predicted minimum air
temperatures are released for the farmers on the website in the server of Okayama University.
The website is also created by our laboratory. As a result, the predicted minimum air
temperatures agreed with the measured ones.