An explicit knowledge conversion assistance apparatus 100 includes: a table acquisition unit 10 that acquires a table in which, for each agricultural task for a specific crop, an influence degree indicating influence that the agricultural task has on an outcome, a type of skill required for the agricultural task, and a level of a worker required for the agricultural task are defined by numerical values; an evaluation value calculation unit 20 that, for each agricultural task, calculates an evaluation value based on the values for the influence degree, the type of skill, and the level, using the table; and a priority rank setting unit 30 that sets a priority rank for each agricultural task based on the calculated evaluation value.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An explicit knowledge conversion assistance apparatus comprising: a table acquisition unit configured to acquire a table in which, for each agricultural task for a specific crop, an influence degree indicating influence that the agricultural task has on an outcome, a type of skill required for the agricultural task, and a level of a worker required for the agricultural task are defined by numerical values; an evaluation value calculation unit configured to, for each agricultural task, calculate an evaluation value based on the values for the influence degree, the type of skill, and the level, using the table; and a priority rank setting unit configured to set a priority rank for each agricultural task based on the calculated evaluation value. 2. The explicit knowledge conversion assistance apparatus according to claim 1, wherein for each agricultural task, the evaluation value calculation unit calculates the evaluation value by multiplying the values for the influence degree, the type of skill, and the level by respective weights set in advance for those values and adding together the obtained products. 3. The explicit knowledge conversion assistance apparatus according to claim 1, wherein the table is created for a specific crop in a specific region. 4. The explicit knowledge conversion assistance apparatus according to claim 1, further comprising a table update unit configured to acquire, from an external source, first data specifying an outcome of the specific crop and second data specifying an evaluation of an agricultural task performed by a producer of the specific crop, obtain a correlative coefficient for the outcome of the specific crop and the evaluation of the agricultural task for the specific crop based on the acquired first data and second data, and update the value for the influence degree in the table based on the obtained correlative coefficient. 5. An explicit knowledge conversion assistance method comprising: (a) a step of acquiring a table in which, for each agricultural task for a specific crop, an influence degree indicating influence that the agricultural task has on an outcome, a type of skill required for the agricultural task, and a level of a worker required for the agricultural task are defined by numerical values; (b) a step of, for each agricultural task, calculating an evaluation value based on the values for the influence degree, the type of skill, and the level, using the table; and (c) a step of setting a priority rank for each agricultural task based on the calculated evaluation value. 6. The explicit knowledge conversion assistance method according to claim 5, wherein in the step (b), for each agricultural task, the evaluation value is calculated by multiplying the values for the influence degree, the type of skill, and the level by respective weights set in advance for those values and adding together the obtained products. 7. The explicit knowledge conversion assistance method according to claim 5, wherein the table is created for a specific crop in a specific region. 8. The explicit knowledge conversion assistance method according to claim 5, further comprising (d) a step of acquiring, from an external source, first data specifying an outcome of the specific crop and second data specifying an evaluation of an agricultural task performed by a producer of the specific crop, obtaining a correlative coefficient for the outcome of the specific crop and the evaluation of the agricultural task for the specific crop based on the acquired first data and second data, and updating the value for the influence degree in the table based on the obtained correlative coefficient. 9. A computer-readable storage medium storing a program including commands for causing a computer to execute: (a) a step of acquiring a table in which, for each agricultural task for a specific crop, an influence degree indicating influence that the agricultural task has on an outcome, a type of skill required for the agricultural task, and a level of a worker required for the agricultural task are defined by numerical values; (b) a step of, for each agricultural task, calculating an evaluation value based on the values for the influence degree, the type of skill, and the level, using the table; and (c) a step of setting a priority rank for each agricultural task based on the calculated evaluation value. 10. The computer-readable storage medium according to claim 9, wherein in the step (b), for each agricultural task, the evaluation value is calculated by multiplying the values for the influence degree, the type of skill, and the level by respective weights set in advance for those values and adding together the obtained products. 11. The computer-readable storage medium according to claim 9, wherein the table is created for a specific crop in a specific region. 12. The computer-readable storage medium according to claim 9, further causing the computer to execute (d) a step of acquiring, from an external source, first data specifying an outcome of the specific crop and second data specifying an evaluation of an agricultural task performed by a producer of the specific crop, obtaining a correlative coefficient for the outcome of the specific crop and the evaluation of the agricultural task for the specific crop based on the acquired first data and second data, and updating the value for the influence degree in the table based on the obtained correlative coefficient.