TWI653586B - Method for calculating consumption period, calculation system for consumption period, and recording medium - Google Patents

Abstract

The eating time calculation system includes an algorithm storage unit, a fit period calculation unit, a determination unit, an algorithm correction unit, and an algorithm selection unit, thereby improving the calculation accuracy of the eating time.

Description

Method for calculating consumption period, calculation system for consumption period, and recording medium

The present invention relates to a calculation method of a consumption period, a calculation system for a consumption period, and a recording medium storing a calculation program for a consumption period.

In recent years, due to the development of technology in the field of logistics, fresh food can be kept fresh from the place of origin to consumers. It is preferred that the fresh food reaches the consumer as quickly as possible from the place of origin, so that it is consumed while fresh. However, among fresh foods, fruits and vegetables, especially fruits, are more important than freshness. Hereinafter, a suitable period suitable for ripening and edible is sometimes referred to as a edible period. From a consumer's perspective, there is a requirement to consume the fruit in accordance with the season of consumption.

Therefore, a technique is proposed to inform consumers of the consumption period of fruits (JP2005-280909A).

In the technology described in JP2005-280909A, a non-contact mark including a temperature sensor, an antenna, and a memory is affixed to each individual food. In addition, it is described that the ambient temperature in the circulation path before consumption by consumers is periodically acquired and stored in the memory, and obtained and obtained based on a maturity correspondence table that associates maturity and temperature in advance. The maturity corresponding to the ambient temperature is accumulated over time to calculate the maturity, and the time to reach the maturity equivalent to the consumption period is calculated.

The consumption period of fruits is not only easily affected by the conditions before harvest, but also by the conditions after harvest. Therefore, even if the technology described in Patent Document 1 is used, it is considered that the predicted consumption period and the actual consumption period do not overlap. Case. In this way, it is difficult to accurately predict the consumption period of the fruit, but consumers want to know the consumption period more accurately. Therefore, the technical calculation of the consumption period requires further improvement.

Therefore, an object of the present invention is to improve the calculation accuracy of the consumption period.

According to a certain aspect of the present invention, there is provided a consumption period calculation method for calculating a suitable period as a consumption period of a fruit, and the consumption period calculation method calculates the suitable period based on a consumption period calculation algorithm prepared in association with attributes of a fruit to obtain Evaluation information for evaluating the suitable period, and when the evaluation information meets specific conditions, the eating period calculation algorithm is modified, and a new suitable period is calculated by using the modified eating period calculation algorithm.

According to the above aspect, the calculation accuracy of the eating period can be improved.

The eating period calculation system according to the embodiment of the present invention calculates a suitable period as the eating period of the fruit. The eating time calculation system according to the present embodiment will be described using an example of a situation in which the system is applied.

FIG. 1 is a schematic diagram showing a case where the eating time calculation system 1 according to the embodiment of the present invention is applied to a sales channel MC of a fruit f.

The sales channel MC of the fruit f is composed of a producer F that produces the fruit f, a sales shop M that sells the produced fruit f, and a consumer C that buys the fruit f from the sales shop M. There is an eating period calculation system 1 according to the embodiment of the present invention among the three.

FIG. 1 shows a case where the fruit f produced by the producer F is shipped (shipment S). In addition, a case where the fruit f is purchased by the consumer C at the sales store M (purchase P) is also shown.

In addition, FIG. 1 also shows a case where the producer F can access the consumption period calculation system 1 in the production stage of the producer F independently of the distribution path of the fruit f (arrow F1 in FIG. 1). In addition, a case where the sales shop M can access the eating time calculation system 1 during the sales phase of the sales shop M (arrow M1 in FIG. 1) is also shown. In addition, a case where the consumer C can access the consumption period computing system 1 during the consumption phase of the consumer C (arrow C1 in FIG. 1) is also shown.

The details related to the production phase, sales phase, and consumption phase in the sales channel MC will be described later.

[Eating period calculation system]

＜ System Structure ＞

Next, the eating time calculation system 1 according to the embodiment of the present invention will be described in detail using the drawings. FIG. 2 is a block diagram illustrating a consumption period calculation system 1 according to the embodiment of the present invention.

The eating period calculation system 1 is a system that calculates a suitable period (hereinafter, sometimes called an eating period) suitable for eating the fruit f.

The eating time calculation system 1 includes an algorithm storage unit 11, a fit period calculation unit 12, a determination unit 13, and an algorithm correction unit 14. The above structure is connected to each other via the internal bus 15 so that data can be transmitted and received.

The algorithm storage unit 11 stores an eating period calculation algorithm. In addition, the algorithm storage unit 11 stores a table that establishes a relationship between a predetermined attribute and a calculation algorithm for the consumption period. The algorithm storage unit 11 is composed of a recording medium such as a hard disk drive or a semiconductor memory.

Here, the eating time calculation algorithm is an algorithm for calculating the eating time of the fruit f based on the hardness of the fruit f and the measurement date for measuring the hardness. Details related to the calculation algorithm of the consumption period will be described later.

In addition, the attribute refers to information for identifying the fruit that is the subject of calculation of the consumption period. The attributes include at least one of the type of fruit f, the variety of fruit f, and the production conditions of fruit f. Examples of production conditions include the origin and the name of the producer.

FIG. 3 is a diagram explaining a table in which the attribute of the fruit f and the consumption period calculation algorithm are stored in the algorithm storage unit 11.

The table establishes the relationship between the type, variety, place of origin, and producer name of the fruit f and the consumption period calculation algorithm applied corresponding to these attributes. The table shown in FIG. 3 shows a case in which different consumption period calculation algorithms are applied in the case where the same variety (for example, variety: peach A) is used and the origin is different.

The fit period calculation unit 12 calculates a fit period suitable for the consumption of the fruit f from the hardness of the fruit f obtained from the producer F and the measurement date based on the calculation period of the consumption period. In the case of a modified eating period calculation algorithm (to be described later), a modified eating period calculation algorithm is used to calculate a suitable period.

The determination unit 13 determines whether or not the evaluation information of the fit period calculated by the fit period calculation unit 12 satisfies a specific condition. Here, in the present embodiment, the evaluation information refers to information provided to the consumption period computing system 1 from an information processing terminal such as a mobile phone and a personal computer of the consumer C through the network such as the Internet during the consumption stage (in FIG. 1). Arrow C1). The details of the evaluation information will be described later.

When the determination unit 13 determines that the evaluation information satisfies a specific condition, the algorithm correction unit 14 corrects the eating time calculation algorithm. The modified eating period calculation algorithm is sent to the suitable period calculation unit 12.

In addition to the above-mentioned structure, the consumption time calculation system 1 further includes an interface 16 for obtaining a measurement result of the hardness of the fruit f from the producer F, a measurement date, evaluation information from the consumer C, and attributes of the fruit f. Related information, etc. In the present embodiment, the interface 16 refers to an interface that can be connected to a router (not shown) that can be connected to a network such as the Internet through a wired or wireless connection.

The eating time calculation system 1 further includes an algorithm selection unit 17. When the algorithm selection unit 17 obtains information related to the attributes of the fruit f from the outside via the interface 16, the algorithm selection unit 17 selects attributes similar to the acquired attributes from the table, and then selects an eating period calculation algorithm that establishes a relationship with the similar attributes.

＜ Production stage ＞

Next, the production phase will be described. FIG. 4 is a schematic diagram illustrating a production stage. In the production stage, the fruit f produced by the producer F is pasted and printed with a label L1 for a suitable period suitable for edible fruit f, and is shipped to the sales store M.

In the production stage, an information processing terminal 30F such as a measurement device 20F and a personal computer (hereinafter referred to as a PC) is used. The measurement device 20F includes a sensor for measuring the hardness of the fruit f, which is used in the calculation of a suitable period as the consumption period. Device. In addition, a printer 40F that records various information on a label L1 attached to the fruit f is used.

It is preferable that the tag L1 used in this embodiment is an RFID (Radio Frequency Identification) standard tag having a built-in antenna and an IC chip and receiving transmission information through non-contact communication.

In the case of using the RFID-compliant label L1, the printer 40F is an RFID label printer that prints information that can be visually confirmed on the label L1 and has the function of writing and reading information to and from the built-in IC chip. .

In the production stage, the producer F measures the hardness of the fruit f using the measuring device 20F. The attribute information related to the fruit f, the hardness of the measured fruit f, the measurement date, and the like are sent to the consumption period calculation system 1 (arrow F1 in FIG. 1) via the network NW through the information processing terminal 30F.

In addition, the information processing terminal 30F obtains the suitable period (the consumption period) calculated by the consumption period calculation system 1 via the network NW based on the attribute information related to the fruit f, the measured hardness of the fruit f, and the measurement date (the consumption period ) Information involved.

The printer 40F prints the information related to the appropriate period acquired by the information processing terminal 30F from the consumption time calculation system 1 on the label L1 and visually confirms it, and writes the information on the IC chip.

Since the above structure is used, the following is performed in the production stage. That is, the hardness of the fruit f produced by the producer F is measured by the producer F. Information related to the measured hardness of the fruit f is transmitted to the consumption period calculation system 1 via the network NW. In the eating time calculation system 1, the suitable period suitable for eating is calculated based on the information regarding the hardness of the fruit f obtained from the information processing terminal 30F of the producer F and the eating time calculation algorithm. The calculated suitable period is returned to the information processing terminal 30F. The information related to the consumption period received from the consumption period calculation system 1 is printed on the label L1 through the printer 40F. The fruit f is shipped to the sales store M after the label L1 is affixed.

＜ Sales stage ＞

Next, the sales stage will be described. FIG. 5 is a schematic diagram illustrating a sales stage. At the sales stage, the fruit f purchased from the producer F is presented to the consumer C for a suitable period suitable for consumption. In addition, during the sales stage, due to storage conditions and temperature changes during the distribution process, there may be changes in the appropriate period. Therefore, if necessary, the information related to the appropriate period is recalculated and replaced.

In the sales stage, as in the production stage, a measurement device 20M including a sensor for measuring the hardness of the fruit f and an information processing terminal 30M such as a PC are used. A printer 40M for recording various information on a label L2 attached to the fruit f is used.

It is preferable that the tag L2 used here is an RFID-compliant tag similar to the tag L1. In the case of using the RFID-compliant label L2, the printer 40M is an RFID label printer.

As the tag L2, in addition to a suitable period, for example, a tag configured to further include information for the consumer C, such as a variety, a place of manufacture, a producer name, and a consumer-facing message, can be used.

In the sales stage, as in the production stage, the sales shop M can measure the hardness of the fruit f using the measuring device 20M. The measured hardness f of the fruit f, the measurement date, and attribute information related to the fruit f are sent to the consumption period calculation system 1 (arrow M1 in FIG. 1) through the information processing terminal 30M and via the network NW.

In addition, in the sales stage, the sales store M uses the information processing terminal 30M to implement input of attributes required by the above-mentioned table of FIG. 3. For example, the input attribute information is used in the management of the fruit f and its purchase target.

In addition, the information processing terminal 30M obtains, through the network NW, information related to the suitable period calculated in the consumption period calculation system 1 based on the attribute information related to the fruit f, the measured hardness of the fruit f, and the measurement date. If there is no change in the attribute information of the fruit f, the consumption period calculation system 1 uses the same algorithm as the consumption period calculation algorithm applied in the production stage to calculate the suitable period.

When the hardness is measured at the sales stage, the information processing terminal 30M sends information related to the hardness measured at the sales stage to the consumption timing calculation system 1 via the network NW.

The fit period calculation unit 12 in the eating period calculation system 1 calculates a suitable period of the eating period based on the hardness of the fruit f received from the information processing terminal 30M.

When the suitable period calculated by the consumption period calculation system 1 based on the hardness measured at the sales stage is different from the suitable period measured at the production stage, the consumption period calculation system 1 sends the recalculated suitable period to the information processing. Terminal 30M.

The printer 40M prints the appropriate period, variety, production place, producer name, and consumer-facing information obtained by the information processing terminal 30M from the consumption period calculation system 1 on the label L2 in a manner that can be visually confirmed and written as information Into the IC chip.

In the sales stage, sales are performed such that a label L2 in which information and the like related to a suitable period obtained from the consumption period calculation system 1 is written is affixed to the fruit f.

Since the above structure is used, during the sales phase, the following is performed. That is, the hardness of the purchased fruit f is measured in the sales store M and sent to the consumption time calculation system 1. The eating period calculation system 1 calculates a suitable period suitable for eating based on the information about the hardness of the fruit f acquired from the information processing terminal 30M of the sales store M and the eating period calculation algorithm. The calculated suitable period is returned to the information processing terminal 30M. The information related to the consumption period received from the consumption period calculation system 1 is printed on the label L2 through the printer 40M. Fruit f is sold to consumer C after the label L2 is affixed.

＜ Consumption stage ＞

Next, the consumption phase will be described. FIG. 6 is a schematic diagram illustrating a consumption phase.

In the consumption phase, the consumer C consumes the fruit f purchased from the sales store M. In the present embodiment, the consumer C can evaluate whether or not it is appropriate to display the appropriate period of the label L2 attached to the consumed fruit f.

In the consumption stage, the consumer C can use the information processing terminal 30C such as a PC, a mobile phone, or a so-called smart phone to evaluate the suitable period.

The consumer C uses the information processing terminal 30C to transmit the evaluation information related to the evaluation A related to the suitable period of the fruit f to the consumption period calculation system 1 via the network NW.

As an example of the evaluation method, there can be mentioned a method in which the consumer C performs an input operation in a predetermined order on a dedicated website provided by the consumption time calculation system 1 and which can be referred to by the information processing terminal 30C.

With this method, the consumer C can use the information processing terminal 30C to evaluate a suitable period. In addition, the information processing terminal 30C can be used to provide evaluation information to the consumption time calculation system 1.

In this embodiment, the address information of the dedicated website is printed on the label L2 as a barcode or a two-dimensional code together with other information for identifying the fruit. If the consumer C uses the function of the information processing terminal 30C to take a barcode or a two-dimensional code, the information processing terminal 30C can access a dedicated website for inputting the evaluation of the fruit f.

FIG. 7 is a schematic diagram illustrating an example of a dedicated website provided on the screen of the information processing terminal 30C and provided by the consumption time calculation system 1. FIG. 7 illustrates a case in which a “eating period evaluation button”, a “deliciousness evaluation button”, and a “price evaluation button” are displayed on the screen 31C of the information processing terminal 30C.

FIG. 8 is a schematic diagram illustrating an example of a dedicated website provided on the screen of the information processing terminal 30C and provided by the consumption time calculation system 1. In FIG. 8, by selecting the “eating period evaluation button” in the screen display shown in FIG. 7 and then displaying the buttons of “early (immature)”, “late (mature)”, and “just right”, Instructions.

The consumer C can evaluate whether or not the suitable period of the fruit f displayed on the label L2 overlaps with the actual consumption period by selecting any of the buttons.

The evaluation result is sent to the eating time calculation system 1 via the network NW, and is used in a correction process of the eating time calculation algorithm described later.

[Calculation Algorithm of Eating Period]

Next, an algorithm for calculating the consumption period will be described. In this embodiment, two algorithms for calculating the consumption period will be described. The eating time calculation algorithm described below can be selected based on the type of fruit f, the distribution process, the distribution method, and the like.

＜ First Eating Period Algorithm ＞

FIG. 9 is a diagram illustrating a first consumption period calculation algorithm.

In the embodiment of the present invention, the eating time calculation algorithm is expressed by a correlation between a value indicating the hardness of the fruit f and the number of days elapsed since the measurement date of the hardness measurement.

In the first eating time calculation algorithm, it is more specifically expressed by a linear function between a value H representing the hardness of the fruit f and the number of days D since the measurement date of the hardness measurement.

This primary function is derived from a confirmation experiment using a reference specimen. This curve is obtained by applying a regression analysis using a least square method to the curve obtained by curving the hardness of the harvest day of the fruit f on the reference specimen and the hardness corresponding to the number of days elapsed since the harvest date.

In the case where the increasing direction of the hardness H is applied as the increasing direction of the y-axis, as the number of days from the harvest date passes, the fruit f matures and becomes soft, and therefore the linear function has a negative slope.

In addition, in the confirmation experiment, when measuring the hardness of the fruit harvested from the reference specimen, a sensory test was used to check whether the eating period was appropriate. The suitable period is determined based on the number of elapsed days from the harvest date corresponding to the range of the hardness H of the fruit f when the consumption period conforms to “appropriate”.

In this way, it is possible to derive the eating period calculation algorithm Y0 corresponding to the attributes of fruit, variety, origin, and producer used in the confirmation experiment.

Furthermore, by applying the derived eating period calculation algorithm Y0 to fruits of the same variety as the reference specimen but other trees, the eating period of the same species as the reference specimen can be calculated as of the date when the hardness of the fruit is measured Days passed. In this case, as shown in FIG. 9, in this fruit, the hardness (h1 to h2) at the time of consumption is from (d1 to d0) days from the measurement date (d0), and d1 to d2 can be predicted. (D2-d1) days up to the date of consumption.

In the present embodiment, the correction of the eating time calculation algorithm executed by the algorithm correction unit 14 refers to changing the slope of the linear function of the hardness H of the fruit f and the eating time calculation algorithm Y0 of the elapsed days D. In addition, in the present embodiment, specific conditions are set for modifying the eating time calculation algorithm, and when the specific conditions are satisfied, the eating time calculation algorithm is modified. The details of the processing of the correction algorithm will be described later.

As an example, in a case where the estimated ratio of the number of fruit f that does not overlap with the actual fit period of the fruit f with respect to the calculated number of fruit f in the fit period satisfies a specific condition, and the calculated When the fit period is earlier than the actual consumption period of the fruit f, the absolute value of the slope is set to be relatively small.

This is in accordance with the two-dot chain line formula Y1 in FIG. 9. According to the modified eating period calculation algorithm Y1, the suitable period is derived from d3 to d4. Thereby, the start of a suitable period can be made later than d1 calculated by the eating period calculation algorithm Y0, and it can approach an actual eating period.

In addition, in a case where the estimated ratio of the fruit f that does not overlap with the actual fit period of the fruit f and the actual fit period of the fruit f satisfies a specific condition with respect to the number of fruit f calculated for the fit period, and the calculated fit period ratio When the actual consumption period of the fruit f is late, the absolute value of the slope is set relatively large.

This corresponds to the two-dot chain line formula Y2 in FIG. 9. According to the modified algorithm for calculating the eating period Y2, the suitable period is derived from d5 to d6. Thereby, the start of a suitable period can be made earlier than d1 calculated by the eating period calculation algorithm (Y0), and it can approach an actual eating period.

＜ Calculation Algorithm of Second Eating Period ＞

The inventors have learned that the relationship between the type of fruit f and the hardness from the harvest date to the edible period may be more suitable for actual behavior using a curve.

In addition, the inventors learned that although the fruit f is easy to ripen under high temperature, it focuses on the fact that the fruit matured at a later stage when it is shipped to land with a higher average temperature, and the place where the fruit f is shipped (sale place) Compared with the air temperature, the temperature history related to fruit f such as room temperature has become one of the important factors determining the ripening period of fruit f.

In addition, the inventors further studied and found that the change in the ripening period of the fruit f (that is, the change in hardness) changes according to the cumulative value of the ambient temperature where the fruit f is located. In addition, the correlation between the hardness of the fruit f and the cumulative temperature It becomes an inherent behavior according to the kind of fruit f.

Based on the above knowledge, the inventor thought of a second consumption period calculation algorithm. In the following description, the cumulative value obtained by accumulating the elapsed days of the ambient temperature of the fruit f measured within a predetermined time of the day from the reference date is referred to as the cumulative temperature.

In the calculation algorithm of the second eating period, first, the hardness of the fruit f is measured by a field test according to the kind of the fruit f. In addition, the cumulative temperature of the fruit f from the reference date is calculated. Here, the reference date is a measurement day for measuring the hardness of the fruit f. Furthermore, a correlation curve between the hardness and the accumulated temperature is made. In this embodiment, this correlation curve is called a main curve.

FIG. 10 is a diagram illustrating a master curve created for each kind of fruit f.

The main curve refers to the correlation between the hardness of the fruit f and the cumulative temperature of the ambient temperature where the fruit f is located from the harvest date. As the number of days elapses from the harvest day (measurement day), the fruit f matures and becomes soft. Therefore, in a case where the increasing direction of the hardness H is applied as the increasing direction of the y-axis, the tangent of the correlation curve is presented in a manner having a negative slope. The main curve is a curve inherent to each fruit f.

In addition, the degree of taste in each hardness was investigated by a sensory test to determine the appropriate period of the consumption period in the main curve.

FIG. 11 is a diagram illustrating an individual curve calculated from a master curve.

In this embodiment, an individual curve for predicting the consumption period of the fruit f is prepared from the master curve shown in FIG. 10. In this embodiment, the suitable period of the eating period is the range of the cumulative temperature T1 to T2 corresponding to the specific range H1 to H2 of the hardness corresponding to the eating period of the fruit f in the main curve shown in FIG. 10 divided by the fruit f Ambient temperature. In this embodiment, the average value Ta of the ambient temperature is used.

That is, if the average value of the ambient temperature at a certain location is Ta, the value D1 obtained by (T1 / Ta) corresponds to the elapsed day from the measurement date. The period from D1 to the value D2 obtained by (T2 / Ta) is a suitable period. In this embodiment, this period is expressed as a standard suitable period.

In addition, for example, the average room temperature of a single-family home in Hokkaido (site Q) in March is 27 degrees, and the average room temperature of an apartment in Tokyo (site R) in March is 22 degrees. In this case, the consumption period (suitable period) of the fruit f in Hokkaido can be predicted as (T2 / 27) to (T1 / 27) = DA1 to DA2. In addition, the consumption period (suitable period) of the fruit f in Tokyo can be predicted as (T2 / 22) to (Tl / 22) = DB1 to DB2.

That is, the fruit in the place where the average temperature is high is ripe earlier, and the period before reaching the eating period is short. The fruit in the place where the average temperature is low is difficult to ripen, and the period before reaching the eating period is long.

In this way, according to the second eating period calculation algorithm, the eating period corresponding to the environmental temperature where the fruit f is located can be predicted. Therefore, it is possible to realize a more accurate prediction of the eating time corresponding to the environmental temperature of the place where the product is shipped, and more specifically the environmental temperature of the place where it is stored.

In the present embodiment, the premise is that the harvest date is the same as the measurement date of the hardness measurement, and the count-down date of the cumulative temperature is defined as the harvest date. However, even if the harvest date and the measurement date are shifted by several days, the processing can be performed within the allowable error range.

According to the eating time calculation system 1 according to the present embodiment, it is possible to correct an individual curve obtained from a master curve. Specifically, the algorithm correction unit 14 executes the correction of the consumption period calculation algorithm, that is, the correction of the individual curve.

FIG. 12 is a diagram explaining correction of an individual curve performed by the algorithm correction unit 14. In FIG. 12, the shift between the periods before and after the correction is not expressed in a realistic manner but in an excessive manner, and it is an explanation to facilitate understanding of the change caused by the correction.

As an example of the correction method, the algorithm correction unit 14 changes the average value Ta of the ambient temperature used when the main curve is divided. That is, the ambient temperature of a certain place is corrected. The corrected individual curve in this case is indicated by a one-dot chain line in FIG. 12. The value of the denominator of the division operation is different from the original individual curve.

In addition, as another correction method, the algorithm correction unit 14 adds or subtracts a predetermined value from the fit curve calculated by dividing the main curve by the average value Ta during the predicted fit period. Specifically, the algorithm correction unit 14 moves the original individual curve obtained from the main curve in parallel in the y-axis direction. The correction in this case is shown by a two-dot chain line in FIG. 12. Correction for parallel movement in the direction of the hollow arrow.

This makes it possible to adjust the intersection point between the hardness and the fit curve, that is, the fit period, along the x-axis direction. Therefore, it is possible to correct the appropriate period of the eating period in an advanced direction or a delayed direction.

In addition, in this embodiment, a specific condition for determining whether or not to modify the individual curve is set. When the specific condition is satisfied, the algorithm correction unit 14 can correct the individual curve using the method described above.

As an example, in a case where the estimated ratio of the number of fruit f that does not overlap with the actual fit period of the fruit f with respect to the number of fruit f in the fit period satisfies a specific condition, and In the case where the fitting period is earlier than the actual consumption period of the fruit f, the individual curve is modified by the former or the latter method to delay the start of the fitting period.

In addition, in a case where the estimated ratio of the fruit f that does not overlap with the actual fit period of the fruit f and the actual fit period of the fruit f satisfies specific conditions with respect to the number of fruit f in the fit period calculated, and the calculated fit period ratio In a case where the actual consumption period of the fruit f is late, the individual curve is corrected by the former or the latter method to fit the beginning of the period in advance.

Thereby, the suitable period predicted from the individual curve can be brought close to the actual consumption period.

[Calculation method of eating period]

Next, a description will be given of a consumption period calculation method performed using the consumption period calculation algorithm in the above-mentioned consumption period calculation system 1.

In the eating time calculation system 1 according to the present embodiment, the eating time calculation algorithm can be modified based on the evaluation information from the consumer. In addition, the accuracy of the suitable period can be improved by applying the modified eating period calculation algorithm.

In addition, in the eating time calculation system 1 according to the present embodiment, even when an eating time calculation algorithm that matches the attributes of a fruit is not prepared, it is possible to select an eating time calculation algorithm that is associated with similar attributes to calculate a suitable period.

＜ Revision processing of calculation algorithm for eating period ＞

First, a description will be given of a process of correcting the calculation algorithm of the consumption period in the consumption period calculation system 1 according to the present embodiment.

The method of calculating the eating period according to the embodiment of the present invention refers to a method of calculating a suitable period suitable for edible fruit f by using a computing period of calculating a relationship with the attribute of fruit f, and obtaining a calculation period for evaluation The evaluation information of the suitable period is modified, and the evaluation period calculation algorithm is modified when the evaluation information meets certain conditions, and the revised suitable period calculation algorithm is used to calculate a new suitable period.

FIG. 13 is a flowchart illustrating a correction process of an eating period calculation algorithm of the eating period calculation method according to the present embodiment.

In step S1, the consumption period calculation system 1 uses a consumption period calculation algorithm prepared in association with the attribute of the fruit f to calculate a suitable period suitable for the consumption of the fruit f.

In step S2, the eating time calculation system 1 determines whether or not evaluation information for obtaining a suitable period calculated in step S1 is obtained.

If it has already been obtained, in step S3, the consumption period calculation system 1 predicts that the number of fruits f calculated in the suitable period in step S1 is the actual consumption period and the fruit f that does not overlap in the calculated suitable period. The ratio, called the deviation rate, is calculated.

It is calculated that the number of fruits f in a suitable period can be the number of fruits f that were harvested by the producer F and stuck with the label L1 and shipped.

Let Mf be the number of fruits f calculated during the fit period, let Mn be the current sales amount in the number of fruits f calculated during the fit period be Mn, and set the evaluation response rate among all consumers who bought fruit f as X%. When the number of people who answered that the calculated fit period does not overlap with the actual consumption period is set to Mp, the number of fruits f calculated during the fit period Mf is predicted not to overlap with the actual consumption period and the calculated fit period. The deviation rate of the fruit f is expressed by Mp ÷ (X / 100) ÷ (Mn / Mf) ÷ Mf × 100 (%).

In step S4, the consumption period calculation system 1 determines whether the deviation rate exceeds a specific rate. In this embodiment, the specific ratio is set to, for example, 20%.

When it is determined that the deviation rate exceeds 20%, in step S5, the eating period calculation system 1 corrects the eating period calculation algorithm.

When the deviation rate exceeds 20%, and when the calculated fit period is earlier than the actual fit period of the fruit f, the answer is later than the calculated fit period is later than the actual fit period of the fruit f, or the answer is appropriate. , Set the absolute value of the slope to be relatively small.

When the deviation rate exceeds 20% and the calculated fit period is later than the actual fit period of the fruit f, the answer is that the calculated fit period is earlier or appropriate than the actual fit period of the fruit f. In the case of an angle, set the absolute value of the tilt relatively large.

For example, the evaluation response rate among all consumers who calculated the number of fruit f in the suitable period Mf = 200, calculated the number of sales of the fruit f in the suitable period Mf at the current moment Mn = 100, and purchased fruit f When the answer is 50% and the answer is that the calculated fit period does not overlap with the actual consumption period Mp = 12, the deviation rate is calculated as 24%. At this time, the eating period calculation system 1 corrects the eating period calculation algorithm.

In addition, if it is assumed that out of 12 people who answered that the number of people who did not repeat the eating period was 10, the calculated fit period is earlier than the actual fit period of the fruit f. Those who answered late, set the absolute value of the slope of the calculation algorithm for the consumption period relatively small.

When it is determined that the deviation rate is less than 20%, the eating period calculation system 1 does not update the eating period calculation algorithm and continues to use it.

For example, the evaluation response rate among all consumers who calculated the number of fruit f in the suitable period Mf = 200, calculated the number of sales of the fruit f in the suitable period Mf at the current moment Mn = 100, and purchased fruit f = 50%, the answer is calculated as the number of people who do not overlap with the actual consumption period Mp = 6, the deviation rate is calculated as 12%. At this time, the currently used eating period calculation algorithm is not updated and continues to be used.

In step S6, the eating time calculation system 1 adds the eating time calculation algorithm after the slope is changed to the algorithm storage unit 11. In addition, at this time, the eating time calculation system 1 establishes a relationship between the eating time calculation algorithm after the slope change and the attribute of the fruit f after applying the changed eating time calculation algorithm, and stores the relationship.

Next, in step S7, the eating period calculation system 1 calculates a suitable period using the modified eating period calculation algorithm.

＜ Selection processing of calculation algorithm for eating period ＞

Next, a process of selecting an eating period calculation algorithm in the eating period calculation system 1 according to the present embodiment will be described.

When obtaining a predetermined attribute, the consumption period calculation system according to this embodiment selects a consumption period calculation algorithm associated with an attribute similar to the acquired attribute from the prepared consumption period calculation algorithm, and applies the selected consumption period calculation algorithm. To calculate the fit period.

FIG. 14 is a flowchart for explaining a selection process of an edible period calculation algorithm in the edible period calculation system according to the present embodiment.

In step S11, the consumption period calculation system 1 causes input of information related to the attribute of the fruit f.

In step S12, the eating time calculation system 1 discriminates whether or not there is attribute information that matches all of the attribute information input in step S11.

If there is suitable attribute information, in step S13, the consumption period calculation system 1 selects a matching consumption period calculation algorithm, and proceeds to step S1 described in the correction process of the consumption period calculation algorithm.

For example, in step S13, in the table of FIG. 3, if there is suitable attribute information here, it means that in step S11, as the attribute, the fruit is entered as peach, the variety is entered as peach A, the origin is entered as Yamanashi, and the producer The name input is H orchard, and in the table of FIG. 3, there are cases where the fruit is peach, the variety is peach A, the origin is Yamanashi, and the producer name is H orchard. At this time, H-A is selected as the eating period calculation algorithm that establishes a relationship with the attributes consistent with the input attributes.

If there is no suitable attribute information, in step S14, the consumption time calculation system 1 discriminates whether the fitness rate of the items included in the attribute information exceeds a specific condition.

In step S14, if there is an attribute with a suitable rate exceeding a specific condition, that is, a similar attribute, in step S15, the eating period calculation algorithm associated with the similar attribute is selected, and the modification process of the eating period calculation algorithm described above has been described. Step S1.

Here, the case where there is no suitable attribute information and the fit rate exceeds a specific condition means that in step S11, as the attribute, the fruit is entered as peach, the variety is entered as peach A, the origin is entered as sorbus, and the producer name is entered as F orchard. However, only the fruit is peach, the variety is peach A, and the origin is the same. At this time, the H-A algorithm is selected as the eating period calculation algorithm with similar attributes, varieties, and origin.

In step S14, in a case where the fitness rate is equal to or less than a specific condition, in step S16, an input of an application period calculation algorithm is promoted.

According to the above processing, in the case where the consumption period calculation algorithm for calculating the consumption period of the corresponding fruit is not ready, a similar consumption period calculation algorithm (H-A shown in FIG. 3) can be used to calculate a suitable period.

In addition, according to the processing described above, the calculation of the fit period of the conforming fruit is initially performed using the consumption period calculation algorithm with completely different attributes. However, through the correction processing of the eating period calculation algorithm described above, the eating period calculation algorithm is modified based on the evaluation information from the consumer C, so that the modified eating period calculation algorithm can be used as the eating period calculation algorithm corresponding to the new attribute.

FIG. 15 is a schematic diagram illustrating a re-registered eating period calculation algorithm.

In the table of FIG. 3, the calculation algorithm for the eating period corresponding to the fruit is peach, the variety is peach A, the origin is Yamanashi, and the producer is F orchard is not registered. However, the eating period calculation algorithm H-A with similar attributes is selected, and thereafter, the eating period calculation algorithm H-A is modified by a modification process of the eating period calculation algorithm.

In this embodiment, the modified eating period calculation algorithm is registered in the table as the eating period calculation algorithm H-A1 corresponding to the fruit being peach, the variety being peach A, the origin being Yamanashi, and the producer being F orchard.

[Effect]

According to the embodiment of the present invention, a suitable period as the consumption period of the fruit f is calculated based on the consumption period calculation algorithm prepared in association with the attributes of the fruit f, and evaluation information for evaluating the suitable period is obtained. Modify the calculation period of the consumption period under the circumstances, and use the modified calculation period of the calculation period to calculate a new suitable period. This makes it possible to calculate a suitable period as the consumption period of the fruit f, and to improve the accuracy of the calculated suitable period.

In addition, since the accuracy of the fit period is improved, the producer F can use the calculated fit period as a judgment material for determining the timing of harvest or shipment. In addition, the sales shop M can use the calculated suitable period as a judgment material for determining a purchase amount and a purchase target.

For consumer C, being able to eat fruit f at an appropriate maturity is related to a sense of security for quality. Thereby, the purchase intention of the consumer C can be improved. Moreover, it is possible to improve the customer satisfaction of the consumer C.

In addition, for the producer F, the fruit f can be provided to the consumer C with a stable taste, and the added value of the fruit f can be increased.

In the embodiment of the present invention, in the first eating time calculation algorithm, the value representing the hardness of the fruit f and the number of days elapsed since the date of measuring the hardness are expressed, and thus the eating time can be simply expressed.

More specifically, the eating period calculation algorithm is expressed by a linear function of the value H representing the hardness of the fruit f and the number of days D that have elapsed since the date of measuring the hardness. In addition, as the number of days from the harvest date elapses, the fruit f matures and becomes soft. Therefore, when the increasing direction of the hardness H is applied as the increasing direction of the y-axis, the slope of the linear function is expressed as a negative number.

In addition, according to the second edible period calculation algorithm, the suitable period of the edible period can be predicted according to the environmental temperature at which the fruit f is located, and thus the accuracy of the suitable period of the edible period can be improved.

In addition, if the first eating period calculation algorithm or the second eating period calculation algorithm is used, for example, the sales shop M and the like can graph and display a suitable period of the eating period so that they can be visually confirmed. In this case, it is easy for the consumer C to intuitively understand the suitable period of the consumption period.

[Calculation program of eating period]

The eating period calculation program according to the embodiment of the present invention causes a computer to execute a step of calculating a period suitable for eating fruit by the eating period calculation algorithm prepared in association with the attribute of fruit f in the above-mentioned eating period calculation method. A step of obtaining evaluation information for evaluating a suitable period, a step of correcting a consumption period calculation algorithm when the evaluation information satisfies a specific condition, and a step of calculating a new suitable period using the modified consumption period calculation algorithm.

[Recording medium]

The recording medium according to the embodiment of the present invention can read a record from a computer to cause a computer to execute a program that calculates by using a calculation algorithm for a consumption period prepared in association with an attribute of a fruit f in the above-mentioned consumption period calculation method. A step suitable for eating fruit, a step of obtaining evaluation information for evaluating a suitable period, a step of modifying an eating period calculation algorithm when the evaluation information satisfies a specific condition, and using the revised eating period calculation algorithm to calculate a new Steps for the fit period.

[Other embodiments]

As mentioned above, although embodiment of this invention was described, the said embodiment is only a part of the example of application of this invention, and the summary is not intended to limit the technical scope of this invention to the specific structure of the said embodiment. The embodiment of the present invention described above can be variously modified without departing from the scope of the invention.

The description of the registration of the attribute information in the table of FIG. 3 is performed by the sales store M using the information processing terminal 30M in the sales stage. However, at the production stage, the producer F may use the information processing terminal 30F to register the attribute information required by the above-mentioned table of FIG. 3.

The attribute information of the table in FIG. 3 is an example, as long as it is information that can identify the fruit f, it is not limited to this.

In the above-mentioned embodiment, the case where the algorithm storage part 11 was installed in the eating time calculation system 1 was demonstrated. However, for example, the algorithm storage unit 11 may be included in a server or the like existing on a network NW such as the Internet.

In addition, it was explained that the interface 16 is a communication interface for communication with a router capable of connecting to a network such as the Internet. However, the interface 16 may be an interface having a function capable of being connected to the network in a single unit.

It is explained that the tag L1 used in the production stage preferably uses an RFID-compliant tag. In this case, information such as a suitable period may be stored at least on the IC chip, and it is not necessary to print on the surface of the label L2. In the case of not printing on the label L1, the information content can be obtained by reading the IC chip of the RFID tag using the information processing terminal 30M at the sales shop M, and the required information can be printed on the label L2 again.

In addition, in the present embodiment, the tags L1 and L2 need not necessarily be RFID standards.

In the present embodiment, it is explained that the calculation of the consumption period of the fruit f is performed in two stages of the production stage and the sales stage, but it may be performed at either stage.

The case where the eating time calculation algorithm is described as the value H indicating the hardness of the fruit f and the number of days D since the measurement date of the hardness is measured. However, for example, a flowering day, a specific date, or the like may be taken as the origin of a linear function. As the flowering day and a specific date are determined as the reference days for the calculation of the appropriate period, the producer F can easily manage the fruit.

In the case of measuring the hardness H of the fruit f in the production stage, the measurement timing may be before or after harvest. It is particularly useful to be able to predict before consumption the types of fruit whose consumption is significantly reduced relative to post-harvest freshness.

In a case where the deviation rate exceeds a specific condition, a case where the response from the consumer C is mixed with a response that shows a suitable period later than the actual consumption period and a response earlier than the actual consumption period is considered. At this time, both a correction in which the absolute value of the slope of the eating period calculation algorithm is set to be relatively small and a correction in which the absolute value of the slope is set to be relatively large may be performed.

In addition, in the case where the deviation rate of a person whose response period indicated is later than the actual consumption period and the deviation rate of a person whose answer period indicated is earlier than the actual consumption period exceed a specific condition, The degree to which certain conditions are exceeded determines the weight of the correction amount of the absolute value of the slope of the calculation algorithm for the consumption period.

For example, in a case where the response rate indicated that the fit period is later than the actual consumption period is 21%, and the response rate indicated that the fit period is earlier than the actual consumption period is 40%, the case is also considered. If the displayed response period is later than the actual consumption period, the deviation rate of the response also exceeds a specific condition, and the change amount of the absolute value of the tilt is set to be larger than that in the case where there is no response indicated that the displayed fitness period is later than the actual consumption period. The amount of change is small.

In step S4, the specific condition of the deviation rate in the evaluation information is 20%, but it is not limited to this. For example, when it is set to be lower than 20%, correction of the calculation algorithm for predicting the consumption period can be frequently performed, and thus the accuracy of the calculation suitable period can be improved.

In the consumption stage, in the case where the consumer C uses the printed information of the label pasted on the fruit f before consumption and uses the information processing terminal 30C to access the consumption period computing system 1, the information processing terminal 30C can be given a function to notify the consumption period .

In addition, the information processing terminal 30C of the consumer C may be configured to display not only a screen for evaluation but also information related to the fruit f.

The evaluation method of the fruit f of the information processing terminal 30C of the consumer C may be the following method. That is, if the information processing terminal 30C accesses the consumption time calculation system 1, a dedicated application for evaluation of the fruit f that can be executed in the information processing terminal 30C is downloaded. The consumer C can perform the evaluation of the fruit f by launching a dedicated application downloaded to the information processing terminal 30C and being guided to a dedicated website for evaluation of the fruit f.

As a connection method to the eating time calculation system 1 based on the information processing terminal 30C, a short-range wireless communication technology (NFC) may be used. As described above, as the tag L1 and the tag L2, an RFID standard tag can be used. In this case, information related to a dedicated address and a dedicated application can be stored in the IC chip. If the information processing terminal 30C has a structure capable of communicating with the IC chips built in the tags L1 and L2, the information can be read.

When the second eating period calculation algorithm is applied, an IC chip capable of recording a temperature change from the shipment of the fruit f to the consumption of the fruit f can be set on the tags L1 and L2.

In addition, the information stored in the IC chip is acquired through the information processing terminal 30M, the information processing terminal 30C, and the like, and is transmitted to the consumption time calculation system 1.

In the eating time calculation system 1, if the fruit f is expected to be in the same environment, as the temperature information used in obtaining the individual curve denominator, a temperature value based on the actual ambient temperature can be applied. This makes it possible to improve the accuracy of the suitable period of the consumption period.

This application claims priority based on Japanese Patent Application No. 2016-129948 filed with the Japan Patent Office on June 30, 2016, the entire contents of which are incorporated herein by reference.

1‧‧‧Eating period calculation system

11‧‧‧ Algorithm storage department

12‧‧‧ Calculation period for fit period

13‧‧‧Judgment Division

14‧‧‧ Algorithm Correction Department

15‧‧‧ Internal bus

16‧‧‧ interface

17‧‧‧ Algorithm Selection Department

20F, 20M‧‧‧Measurement device

30C, 30F, 30M‧‧‧ Information Processing Terminal

31C‧‧‧Screen of Information Processing Terminal

40F, 40M‧‧‧Printer

C‧‧‧Consumer

C1, F1, M1‧‧‧ arrows

f‧‧‧ fruit

F‧‧‧ Producer

L1, L2‧‧‧ tags

M‧‧‧Sales Store

MC‧‧‧ market

NW‧‧‧Internet

P‧‧‧Buy

S‧‧‧ shipment

FIG. 1 is a schematic diagram showing a case where the eating time calculation system 1 according to the embodiment of the present invention is applied to the sales channel MC of the fruit f. FIG. 2 is a block diagram illustrating the consumption period calculation system 1 according to the embodiment of the present invention. FIG. 3 is a diagram describing a table in which the attribute of the fruit f and the calculation algorithm of the consumption period are stored in the algorithm storage unit 11. FIG. 4 is a schematic diagram illustrating a production stage. FIG. 5 is a schematic diagram illustrating a sales stage. FIG. 6 is a schematic diagram illustrating a consumption phase. FIG. 7 is a schematic diagram illustrating an example of a dedicated website provided on the screen of the information processing terminal 30C and provided by the consumption time calculation system 1. FIG. 8 is a schematic diagram illustrating an example of a dedicated website provided on the screen of the information processing terminal 30C and provided by the consumption time calculation system 1. FIG. 9 is a diagram illustrating an algorithm for calculating a consumption period. FIG. 10 is a diagram illustrating a master curve made for each fruit f. FIG. 11 is a diagram illustrating an individual curve calculated from a main curve and a description of correction of the individual curve. FIG. 12 is a diagram explaining correction of an individual curve performed by the algorithm correction unit 14. FIG. 13 is a flowchart for explaining correction processing of an edible period calculation algorithm in the edible period calculation method according to the present embodiment. FIG. 14 is a flowchart for explaining a selection process of an edible period calculation algorithm in the edible period calculation method according to the present embodiment. FIG. 15 is a schematic diagram illustrating a re-registered eating period calculation algorithm.

Claims (14)

A consumption period calculation method for calculating a suitable period as a consumption period of a fruit, the consumption period calculation method includes: using the consumption period calculation system to calculate the suitable period according to a consumption period calculation algorithm prepared in association with attributes of the fruit ; If it is determined that the evaluation information obtained from the outside for evaluating the suitable period satisfies a specific condition for modifying the calculation period of the consumption period, correcting the calculation period of the consumption period; and using the modified consumption The period calculation algorithm calculates a new fit period. The method for calculating a consumption period according to claim 1, wherein the evaluation information is: an actual amount of the calculated suitable period and the fruit relative to a quantity of the fruit in which the suitable period is calculated The proportion of the number of fruits that are not repeated during the suitable period; and in a case where the evaluation information meets the specific condition, the consumption period calculation algorithm is modified. The consumption period calculation method according to claim 1 or 2, wherein the consumption period calculation algorithm expresses by a correlation between a value indicating a hardness of the fruit and a number of days elapsed since a measurement date for measuring the hardness . The method for calculating a period of consumption according to claim 3, wherein the algorithm for calculating the period of consumption is a linear function representing the value of the hardness of the fruit and the number of days elapsed since the measurement date of the hardness, and has a negative The slope; and the suitable period is determined based on a period indicated by subtracting a minimum value from a maximum value of the elapsed days corresponding to a specific range of values of the hardness. The consumption period calculation method according to claim 4, wherein the fruit that does not overlap with the actual fit period of the fruit with respect to the number of the fruits in the fit period is calculated Set the absolute value of the slope to be relatively small if the proportion of the number satisfies the specific condition and if the fit period is earlier than the actual fit period of the fruit; and If the ratio of the number of fruits in the fit period, the number of fruits in the fit period and the actual fit period of the fruit does not repeat, meets the specific condition, and the fit When the period is later than the actual fit period of the fruit, the absolute value of the tilt is set to be relatively large. The method for calculating a consumption period according to claim 1 or 2, wherein the calculation period for the consumption period is based on a value indicating a hardness of the fruit and an environmental temperature at which the fruit is located since a measurement date of the hardness. The correlation of the cumulative value is expressed; and the suitable period is obtained by dividing the range of the cumulative value corresponding to a specific range of the value representing the hardness by the ambient temperature in which the fruit is located. The consumption period calculation method according to claim 6, wherein the fruit does not overlap with the actual fit period of the fruit with respect to the number of the fruits in the fit period, and the actual fit period of the fruit is not repeated. In a case where the ratio of the number satisfies the specific condition; and changing the ambient temperature when dividing the accumulated value. The consumption period calculation method according to claim 6, wherein the fruit does not overlap with the actual fit period of the fruit with respect to the number of the fruits in the fit period, and the actual fit period of the fruit is not repeated. In the case where the ratio of the quantity satisfies the specific condition; and in a suitable period obtained by dividing the range of the accumulated value corresponding to a specific range of the value representing the hardness by the ambient temperature in which the fruit is located, Add or subtract the specified value. The consumption period calculation method according to claim 1, wherein when obtaining a predetermined attribute, selecting a consumption period calculation algorithm associated with an attribute similar to the acquired attribute from the prepared consumption period calculation algorithm; and applying The selected eating period calculation algorithm calculates the suitable period. The method for calculating a consumption period according to claim 9, wherein the attribute includes at least one of a type of the fruit, a variety of the fruit, and production conditions of the fruit. The method for calculating an eating period according to claim 1, wherein the prepared algorithm for calculating an eating period includes an algorithm for calculating an eating period derived from a confirmation experiment. A consumption period calculation system that calculates a suitable period as a consumption period of a fruit. The consumption period calculation system includes an algorithm storage unit that stores a calculation period of the consumption period prepared in association with attributes of a fruit; Calculating the suitable period by the consumption period calculation algorithm; a determination unit that determines whether evaluation information obtained from the outside in order to evaluate the suitable period satisfies a specific condition for modifying the consumption period calculation algorithm; and an algorithm A correction unit that corrects the eating time calculation algorithm when the evaluation unit determines that the evaluation information satisfies the specific condition. The consumption period calculation system according to claim 12, further comprising an algorithm selection unit that selects, from the algorithm storage unit, an consumption period calculation algorithm associated with an attribute similar to the acquired attribute; The fit period calculation unit calculates the fit period by applying the selected eating period calculation algorithm. A recording medium for storing a program, and by reading the program, a computer can be executed to calculate a suitable period as an eating period of the fruit by an eating period calculation algorithm prepared in association with attributes of the fruit; Evaluate the evaluation information of the suitable period; modify the consumption period calculation algorithm if the evaluation information meets specific conditions for modifying the consumption period calculation algorithm; and use the modified consumption period calculation algorithm to Calculate a new fit period.