Abstract
In the last several years, some expert systems for agriculture have been developed.
However, these present systems cannot yet deal with imprecise or uncertain information such as “fairly long working hours”. An experienced farmer often tends to use words rather than numbers to describe his knowledge.
In this study, fuzzy inference was employed in order to presume field capacity from if-then rules represented by farmer's language.
Membership functions of daily working hours and daily field capacity were determined by the answers of the questionarie on the puddling. Fuzzy production rules were made up by using these membership functions.
Fuzzy inference was applied to the presumption of field capacity and its effectiveness to agricultural information processing was discussed in this paper.
