KR20200077713A - Method for estimating brix degree of citrus using climate information, device and computer readable medium for performing the method - Google Patents

Abstract

According to one embodiment of the present invention, provided is a method for estimating a brix degree of citrus using climate information which periodically collects a measurement value representing the brix degree of the citrus and temperature data for each measurement value collection point, corrects a measurement value based on the temperature data to generate a brix degree calibration curve by using the corrected measurement value for each time period, estimates the brix degree of the citrus to be estimated by using the brix degree calibration curve, and, accordingly, estimates the brix degree at a harvest time based on a brix degree value measured during a growing process of the citrus.

Description

Method for predicting citrus sugar content using weather information, a device and a recording medium for performing the same {METHOD FOR ESTIMATING BRIX DEGREE OF CITRUS USING CLIMATE INFORMATION, DEVICE AND COMPUTER READABLE MEDIUM FOR PERFORMING THE METHOD}

The present invention relates to a method for predicting citrus sugar content using weather information, an apparatus and a recording medium for performing the same, and more specifically, a method for predicting citrus sugar content using weather information for predicting a change in citrus sugar content measured through a measurement device, It relates to a device and a recording medium for performing this.

Sugar content has been used as an important index to determine the commerciality of citrus fruits. Accordingly, various techniques for measuring the sugar content of citrus fruits have been proposed.

However, since the conventional technologies are mainly limited to the technology for measuring the current sugar content of citrus fruits, there is an inconvenience in that the sugar content must be measured at the time of harvesting the citrus fruits in order to evaluate the commerciality of the citrus fruits.

If the information at the time of harvesting the citrus fruits is predicted by using the information generated during the growth process of citrus fruits, considering that it can help prevent the distance due to fruiting and help the producer to control the quality and control the production of citrus fruits. There is a need for a technique for predicting the sugar content at the time of harvesting using sugar measured in the growth process.

Korean Registered Patent No. 10-1475445 Korean Patent Publication No. 10-2011-0111970

One aspect of the present invention is a method for predicting citrus sugar content using weather information for predicting sugar content at a future time point, such as a harvest time, based on the sweetness of citrus fruits measured during the growth process and weather data at the time of measuring sugar, and an apparatus for performing the same. Provide a record carrier.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

According to an embodiment of the present invention, a method for predicting citrus sugar content and acidity using weather information performed by a citrus sugar prediction device collects measurement values indicating the sugar content of citrus fruits at predetermined time intervals and collects each measurement value Collect temperature data for, calibrate the measured value based on the temperature data, generate a sugar content calibration curve using the corrected measured hourly value, and predict the sugar content of the citrus fruit to be predicted using the sugar content calibration curve. .

Correcting the measurement value generates a temperature compensation value for correcting an error of the measurement value according to a temperature change based on the temperature data, and generates the sugar content calibration curve for the measurement value corrected by the temperature compensation value. It may be set as sample data.

Generating the temperature compensation value, referring to a pre-stored climate database, extracting an average temperature value for the measurement value collection time point, calculating a difference value between the average temperature and the temperature data, and the magnitude of the difference value Depending on, it may be to set the temperature compensation value.

Prediction of the sugar content of the predicted citrus is obtained by collecting the sugar value of the predicted citrus fruit and the measurement time of the sugar of the predicted citrus fruit, and the coordinate data obtained by coordinating the sugar content and the sugar measurement time is a plurality of the sugar content. The calibration curve is displayed on the displayed reference graph, and among the plurality of sugar content calibration curves, any one sugar content calibration curve located closest to the measured data is extracted, and the extracted sugar content calibration curve is used to extract the citrus target of the prediction object. It may be to estimate the sugar content of the predicted citrus fruit at a specific time point by predicting the change in sugar content by time.

Displaying on the reference graph collects temperature data for the measurement time of the sugar value, extracts an average temperature value for the sugar measurement time by referring to a pre-stored climate database, and calculates the average temperature and the temperature. Computing the difference value of the data, and may include correcting the coordinate data according to the size of the difference value.

Predicting the sugar content of the prediction target citrus, collects the sugar content of the prediction target citrus at predetermined time intervals, calculates a slope of the collected at least two sugar content values, and calculates a slope of the at least two sugar content calibration curves in the same time interval. Extracting any sugar content calibration curve with the slope most similar to the slope of the sugar value, and predicting the change in the sugar content of the prediction target citrus by time using the extracted sugar content calibration curve by time to predict the citrus object at a specific time point It may be to estimate the sugar content of.

Extracting any one sugar content calibration curve may include correcting a measurement value constituting the one sugar content calibration curve extracted based on the sugar content of the predicted citrus fruit.

In addition, in the computer-readable recording medium according to an embodiment of the present invention, a computer program for performing a method for predicting citrus sugar content using weather information according to the present invention may be recorded.

In addition, the citrus sugar predicting apparatus according to an embodiment of the present invention, a data collection unit for collecting a measurement value indicating the sugar content of citrus fruits at predetermined time intervals, and collecting temperature data for each measurement value collection time point, the temperature A sugar contention curve modeling unit for correcting the measurement value based on data and generating a sugar content calibration curve using the corrected measurement values for each time, and a sugar content prediction unit for predicting the sugar content of the predicted citrus fruit using the sugar content calibration curve.

The sugar content calibration curve modeling unit generates a temperature compensation value for correcting an error of the measurement value according to a temperature change based on the temperature data, and samples the measurement value corrected by the temperature compensation value to generate the sugar content calibration curve. Can be set as data.

The sugar content prediction unit collects the sugar value of the predicted citrus fruit and the sugar measurement time of the citrus fruit to be predicted, and the coordinate data obtained by coordinating the sugar content and the sugar measurement time is displayed on a reference graph on which a plurality of sugar content calibration curves are displayed. And extracting any one sugar content calibration curve located at a distance closest to the measured data among the plurality of sugar content calibration curves, and using the extracted sugar content calibration curve, change the sugar content of the predicted citrus fruit by time By predicting, it is possible to estimate the sugar content of the predicted citrus fruit at a specific time point.

The sugar content prediction unit collects temperature data for the measurement time of the sugar value, extracts an average temperature value for the sugar measurement time by referring to a pre-stored climate database, and a difference value between the average temperature and the temperature data And calculates the coordinate data according to the size of the difference value.

According to one aspect of the present invention described above, it is possible to predict the sugar content at the time of harvesting based on the sugar value measured in the process of growing citrus fruits, which can be used as an index for quality control and production control of citrus fruits. In addition, by considering weather information in the process of citrus sugar prediction, it is possible to correct the sugar error due to temperature change, thereby ensuring reliability of the prediction result.

1 is a block diagram showing a schematic configuration of an apparatus for predicting citrus sugar according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a sugar content calibration curve generated by the citrus sugar content predicting apparatus of FIG. 1.
3 to 5 are views illustrating specific embodiments for predicting the sugar content of citrus fruits using the sugar content calibration curve of FIG. 2.
6 is a flowchart illustrating a schematic flow of a citrus sugar content prediction method using weather information according to an embodiment of the present invention.

For a detailed description of the present invention, which will be described later, reference is made to the accompanying drawings that illustrate, by way of example, specific embodiments in which the present invention may be practiced. These examples are described in detail enough to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the invention are different, but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. In addition, it should be understood that the location or placement of individual components within each disclosed embodiment can be changed without departing from the spirit and scope of the invention. Therefore, the following detailed description is not intended to be taken in a limiting sense, and the scope of the present invention, if appropriately described, is limited only by the appended claims, along with all ranges equivalent to those claimed. In the drawings, similar reference numerals refer to the same or similar functions throughout several aspects.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a block diagram showing a schematic configuration of an apparatus for predicting citrus sugar content 1 according to an embodiment of the present invention.

The tangerine sugar prediction apparatus 1 according to the present invention can predict the change in sugar content of citrus fruits at a future time point by using the sugar content of citrus fruits measured in the growth process.

To this end, the citrus sugar content predicting device 1 according to the present invention can generate a sugar content calibration curve statistically modeling a temperature relationship affecting sugar content, and uses the previously generated sugar content calibration curve to change the sugar content with temperature. Predictable.

Specifically, the citrus sugar content prediction device 1 according to an embodiment of the present invention may include a data collection unit 100, a sugar content calibration curve modeling unit 200, and a sugar content prediction unit 300.

On the other hand, the citrus sugar content predicting apparatus 1 according to the present invention may have mobility or be fixed. For example, the citrus sugar content predicting apparatus 1 may be in the form of a server or an engine, and includes a smart phone, a device, an apparatus, a terminal, and a user equipment (UE). ), a mobile station (MS), a wireless device, a handheld device, and other terms.

In addition, the citrus sugar content predicting apparatus 1 may be implemented by more components than the components illustrated in FIG. 1, and may be implemented by fewer components. Alternatively, the citrus sugar content predicting device 1 has at least two components of the data collection unit 100, the sugar content calibration curve modeling unit 200, and the sugar content predicting unit 300 being integrated into one component, so that one component is included. It can also perform complex functions. Hereinafter, the above-described components will be described in detail.

The data collection unit 100 may collect data for generating a sugar content calibration curve.

Specifically, the data collection unit 100 may collect measurement values indicating the sugar content of citrus fruits at predetermined time intervals.

At this time, the measurement value may be generated from any of the known sugar content measuring devices, or the citrus sugar content prediction device 1 may measure citrus sugar by itself.

The data collection unit 100 may collect the sugar value (measured value) of the citrus fruits measured at predetermined time intervals (eg, one week) from the time when the citrus fruits arrive. Alternatively, the data collection unit 100 may collect a total of 24 measurement values for each hour interval in order to build a database of sugar content changes over time during the day.

At the same time, the data collection unit 100 may collect weather information for a measurement time point of a measurement value or a measurement time point of a measurement value. For example, when the measurement value is received, the data collection unit 100 may connect to an external server (Meteorological Agency server) interworking with the citrus sugar prediction apparatus 1 to collect weather information at the current time. The data collection unit 100 may extract temperature data from the collected weather information and match and store the received measurement values.

In this way, the data collection unit 100 may collect and manage measurement values for each time interval for each of a plurality of samples (citrus fruits) and temperature data corresponding thereto.

The sugar content calibration curve modeling unit 200 may generate a sugar content calibration curve statistically modeling the relationship with temperature affecting the sugar content using the hourly measurement values collected by the data collection unit 100.

That is, the sugar content calibration curve modeling unit 200 may arrange the collected measurement values over time to generate a sugar content calibration curve indicating a change in sugar content over time.

In this process, the sugar content calibration curve modeling unit 200 may set a temperature compensation value according to the measurement time to correct the sugar content change with temperature.

In the research on the productivity of citrus fruits, the temperature factor was pointed out as one of the important environmental factors affecting fruit growth, and this is considered as an important factor to elucidate and predict the productivity model of fruit trees. Therefore, the sugar content calibration curve modeling unit 200 according to the present invention can correct the measured value based on the temperature data.

At this time, even if the temperature is measured at the same time on the same day, the measured temperature may be different for each year, and as described above, the sugar content is affected by the temperature, so the measured value at a specific point in time is average temperature. It needs to be corrected for the sugar content value.

To this end, the sugar content calibration curve modeling unit 200 may generate a temperature compensation value for correcting an error of a measurement value according to a temperature change based on temperature data.

Specifically, the sugar content calibration curve modeling unit 200 refers to a pre-stored climate database, extracts an average temperature value for a collection point of measurement values, calculates a difference value between the average temperature and the temperature data, and determines the size of the difference value. Accordingly, the temperature compensation value can be set.

For example, if the temperature data at 10 am on January 1 is 10°C, and the average temperature of each year at 10 am on January 1 is 11°C, the difference value may be 1°C. At this time, the sugar content calibration curve modeling unit 200 may increase the measured value by 0.2 to 0.3 brix (bx) each time the difference value increases by 1°C. That is, according to the above example, when the measured value measured at 10 am on January 1 is 10 bx, the corrected measured value may be determined as 10.2 bx. On the other hand, when the average temperature of each year is 9°C, the corrected measurement value may be set to 9.8bx. This is expressed by the following equation.

는 보정된 측정값,

는 측정값,

는 온도 보상값을 의미한다.here,

Is the calibrated reading,

Is the measured value,

Means the temperature compensation value.

In this way, the sugar content calibration curve modeling unit 200 may correct each collected measurement value based on the temperature data, and set the measurement value corrected by the temperature compensation value as sample data for generating a sugar content calibration curve.

Thereafter, as shown in FIG. 2, the sugar content calibration curve modeling unit 200 may arrange the corrected measurement values (sample data) according to a time period, and connect them with a line to generate a sugar content calibration curve.

The sugar content calibration curve modeling unit 200 may generate a plurality of sugar content calibration curves for each of a plurality of different citrus fruits, and may generate a reference graph in which the generated sugar content calibration curves are arranged in the same space.

The sugar content prediction unit 300 may predict the sugar content of the citrus fruit to be predicted using the generated sugar content calibration curve. In this regard, it will be described with reference to FIGS. 3 to 5 together.

3 to 5 are diagrams for explaining a specific process of predicting the sugar content of the predicted citrus fruits.

For example, referring to FIG. 3, the sugar content predicting unit 300 may estimate the sugar content change of the predicted citrus fruit using one sugar value for the predicted citrus fruit.

The sugar content prediction unit 300 may collect information on the sugar value of the predicted citrus fruit, the sugar measurement time, and the temperature data when measuring the sugar content, collected at a specific point in the growth process.

The sugar content prediction unit 300 may generate coordinate data P that coordinates the received sugar value and sugar measurement time, and display the generated coordinate data P on a reference graph on which a plurality of sugar content calibration curves are displayed. .

Based on this, the sugar content prediction unit 300 may extract any one sugar content calibration curve for predicting the sugar content of the citrus object to be predicted among the plurality of sugar content calibration curves.

Specifically, the sugar content predicting unit 300 may extract the sugar content calibration curve located at the closest distance from the coordinate data P as any sugar content calibration curve for predicting the sugar content of the citrus object to be predicted. Here, the sugar content prediction unit 300 may extract the nearest sugar content calibration curve based on the vertical distance of the coordinate data P, and accordingly, the sugar content calibration curve most similar to the current sugar content of the citrus object to be predicted at the current time point (shown) In an embodiment, a sugar calibration curve located at the bottom may be used as a calibration curve for prediction.

In this process, the sugar content predicting unit 300 collects temperature data for the measurement time of the sugar value, extracts the average temperature value for the sugar measurement time by referring to the pre-stored climate database, and collects the extracted average temperature value The difference value of the calculated temperature data is calculated, and coordinate data can be corrected according to the size of the difference value.

Thereafter, the sugar content predicting unit 300 may estimate the sugar content of the predicted citrus fruit at a specific time point by predicting the change in the sugar content of the predicted citrus by time using any extracted sugar content calibration curve. That is, the sugar content predicting unit 300 may estimate the sugar content of the sugar content calibration curve corresponding to the specific time as the sugar content of the predicted citrus fruit.

As another example, referring to FIGS. 4 and 5, the sugar content predicting unit 300 may estimate the sugar content change of the predicted citrus fruit by using a plurality of sugar values for the predicted citrus fruit.

Specifically, the sugar content predicting unit 300 collects the sugar content of the citrus object to be predicted at a predetermined time interval, and similarly as described above in FIG. 3, the coordinate data P1 and P2 for each sugar content is displayed on the reference graph. Can be displayed.

The sugar content predicting unit 300 may generate a line segment connecting two displayed coordinate data P1 and P2, and calculate a slope of the generated line segment.

At this time, the sugar content prediction unit 300 searches for the slope of each sugar content calibration curve formed in the same time period t as the time period in which the two coordinate data P1 and P2 are displayed, and the two coordinate data P1 and P2 Any sugar content calibration curve with the most similar slope can be extracted. For example, in the illustrated embodiment, the sugar content predicting unit 300 may extract the uppermost sugar content calibration curve as a calibration curve for prediction.

The sugar content predicting unit 300 may estimate the sugar content of the predicted citrus at a specific time point by predicting the change in the sugar content of the predicted citrus by time using any extracted sugar content calibration curve.

In this process, as illustrated in FIG. 5, the sugar content predicting unit 300 may correct the measurement values constituting any one of the sugar content calibration curves extracted based on the sugar value of the citrus object to be predicted.

Referring back to FIG. 4, since the sugar content predicting unit 300 selects the sugar content calibration curve based on the similarity of the tilt, the sugar value measured from the prediction target citrus and the sugar content of the selected sugar calibration curve are different from each other in the case of FIG. 3. Different cases may occur.

To solve this problem, the sugar content predicting unit 300 may correct the measurement values constituting the sugar content calibration curve based on the sugar content of the citrus object to be predicted. That is, as illustrated, the sugar content predicting unit 300 may move the sugar content calibration curve in the vertical direction so that the height (sugar content) of the sugar content calibration curve coincides with the sugar value of the citrus object to be predicted. In this state, the sugar content predicting unit 300 can reliably estimate the amount of sugar change until the harvest time of the predicted citrus fruit by estimating the sugar content of the sugar content calibration curve at a specific time point as the predicted citrus fruit.

6 is a flowchart illustrating a schematic flow of a citrus sugar content prediction method using weather information according to an embodiment of the present invention.

The method for predicting citrus sugar content using weather information according to the present invention may be performed by the citrus sugar content prediction device 1 according to the present invention described above. To this end, the citrus sugar content predicting apparatus 1 according to the present invention may be pre-installed with an application (software) for performing each step constituting the citrus sugar content prediction method using weather information to be described later. For example, a platform for a method for predicting citrus sugar content using weather information according to the present invention may be pre-installed in the form of software on the user's computer, and the user executes the software installed on the computer to receive the weather information according to the present invention. Various services provided by the citrus sugar content prediction method can be provided.

In order to build a predictive model, the citrus sugar prediction apparatus 1 may collect measurement values for citrus sugar at predetermined time intervals, and collect temperature data for each collection point of measurement (61).

The citrus sugar content predicting apparatus 1 may correct the measured value using the received temperature data (62). Specifically, the citrus sugar content predictor 1 compares the collected temperature data with the average temperature at the same time, calculates a difference value, and corrects the measured value (sugar content) according to the calculated magnitude of the difference value. . For example, when the difference value is +1° C., the citrus sugar content predicting apparatus 1 may correct the measured value upward by 0.2 bx.

The citrus sugar content predicting device 1 may generate a sugar calibration curve for each sample (citrus) using the corrected hourly measurement (63). The citrus sugar content predicting apparatus 1 may generate a reference graph including a sugar content calibration curve for all samples.

Subsequently, the citrus sugar predicting apparatus 1 may predict a change in sugar content of the citrus fruit to be predicted based on the generated sugar calibration curve (64). The citrus sugar predicting device 1 displays the sugar value measured in the growth process of the predicted citrus fruit on the reference graph, so that the sugar at the future time point (eg, harvest time) of the predicted citrus fruit based on the change in any one sugar calibration curve. Can predict.

Since the detailed description of each of the above steps 61 to 64 has been described with reference to FIGS. 1 to 5, repeated description will be omitted.

The technology for providing a method for predicting citrus sugar content using weather information may be implemented as an application or may be recorded in a computer-readable recording medium by being implemented in the form of program instructions that can be executed through various computer components. The computer-readable recording medium may include program instructions, data files, data structures, or the like alone or in combination.

The program instructions recorded on the computer-readable recording medium are specially designed and configured for the present invention, and may be known and available to those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs, DVDs, and magneto-optical media such as floptical disks. media), and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language codes produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although described above with reference to embodiments, those skilled in the art understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. Will be able to.

Although described above with reference to embodiments, those skilled in the art understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. Will be able to.

1: Citrus sugar content prediction device
100: data collection unit
200: sugar content calibration curve modeling department
300: sugar content prediction unit

Claims (12)

In the method for predicting citrus sugar content and acidity using weather information performed by the citrus sugar prediction device,
Measurement values indicating the sugar content of citrus fruits are collected at predetermined time intervals, and temperature data for each measurement value collection time point is collected.
Correct the measured value based on the temperature data,
A sugar content calibration curve is generated using the calibrated time-based measurements.
A method for predicting citrus sugar content using weather information, which predicts the sugar content of a citrus fruit to be predicted using the sugar content calibration curve.
According to claim 1, Correcting the measured value,
Based on the temperature data, a temperature compensation value for correcting an error of the measurement value according to a temperature change is generated, and a measurement value corrected by the temperature compensation value is set as sample data for generating the sugar content calibration curve. , A method for predicting citrus sugar content using weather information.
According to claim 2, Generating the temperature compensation value,
Referring to a pre-stored climate database, extracting an average temperature value for the measured value collection time point, calculating a difference value between the average temperature and the temperature data, and setting the temperature compensation value according to the magnitude of the difference value That is, a method for predicting citrus sugar content using weather information.
The method of claim 1, wherein predicting the sugar content of the predicted citrus fruit,
Collect the sugar value of the predicted citrus and the measurement time of the sugar of the predicted citrus,
Coordinate data obtained by coordinating the sugar content and the sugar measurement time are displayed on a reference graph on which a plurality of the sugar calibration curves are displayed.
Extracting any one of the plurality of sugar content calibration curves located at a distance closest to the measured data, and
A method of predicting citrus sugar content using weather information by estimating the sugar content of the predicted citrus fruit at a specific point in time by predicting the change in sugar content of the predicted citrus fruit by time using the extracted sugar content calibration curve.
According to claim 4, The display on the reference graph,
Collect temperature data for the measurement time of the sugar value, extract the average temperature value for the sugar measurement time by referring to a pre-stored climate database, calculate a difference value between the average temperature and the temperature data, and A method of predicting citrus sugar content using weather information, comprising correcting the coordinate data according to the size of the difference value.
The method of claim 1, wherein predicting the sugar content of the predicted citrus fruit,
The sugar value of the citrus fruit to be predicted is collected at predetermined time intervals, and the slope of at least two sugar values collected is calculated,
Extracting any one sugar content calibration curve having a slope most similar to the slope of the sugar content value in the same time period among the plurality of sugar content calibration curves,
A method of predicting citrus sugar content using weather information by estimating the sugar content of the predicted citrus fruit at a specific point in time by predicting the change in sugar content of the prediction target citrus by time using the extracted sugar content calibration curve.
The method of claim 6, wherein extracting any one of the sugar content calibration curve,
A method of predicting citrus sugar content using weather information, comprising correcting a measurement value constituting the one sugar content calibration curve extracted based on the sugar content of the predicted citrus fruit.
A computer-readable recording medium having a computer program recorded thereon for performing a method for predicting citrus sugar content using weather information according to any one of claims 1 to 7.
A data collection unit collecting measurement values indicating the sugar content of citrus fruits at predetermined time intervals and collecting temperature data for each measurement value collection time point;
A sugar content calibration curve modeling unit that corrects the measurement value based on the temperature data and generates a sugar content calibration curve using the corrected measurement values for each hour; And
An apparatus for predicting citrus sugar content, comprising a sugar content predicting unit for predicting the sugar content of the target citrus fruit using the sugar content calibration curve.
The method of claim 9, wherein the sugar content calibration curve modeling unit,
Citrus, which generates a temperature compensation value for correcting an error of the measurement value according to a temperature change based on the temperature data, and sets the measurement value corrected by the temperature compensation value as sample data for generating the sugar content calibration curve Sugar content prediction device.
The method of claim 9, wherein the sugar content prediction unit,
The sugar value of the predicted citrus fruit and the measurement time of the sugar of the predicted citrus fruit are collected, and the coordinate data obtained by coordinating the sugar value and the sugar measurement time are displayed on a reference graph on which a plurality of the sugar calibration curves are displayed. Extracting any one sugar content calibration curve located at a distance closest to the measured data among the sugar content calibration curves, and predicting the change in sugar content of the predicted citrus fruits by time using the extracted sugar content calibration curve at a specific time point An apparatus for predicting citrus sugar content, which estimates the sugar content of the predicted citrus fruit.
The method of claim 11, wherein the sugar content prediction unit,
Collect temperature data for the measurement time of the sugar value, extract the average temperature value for the sugar measurement time by referring to a pre-stored climate database, calculate a difference value between the average temperature and the temperature data, and An apparatus for predicting citrus sugar content to correct the coordinate data according to the size of the difference value.

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