Cattle breeding management method and apparatus based on rate of return on investment

Abstract

According to one embodiment disclosed herein, a cattle breeding management method based on the rate of return and performed by at least one processor includes the steps of: obtaining second data indicating a breeding program for cattle on the basis of first data associated with the type of the cattle and the measured weight of the cattle; generating third data associated with a target rate of return for the cattle on the basis of at least a portion of the first data and the second data; after reaching a second point in time, receiving fourth data, associated with the actual cost of breeding the cattle up to the second point in time, from a manager server associated with the cattle; generating fifth data associated with an expected rate of return for the cattle on the basis of the fourth data; and transmitting, to the manager server, a request to manage the cattle according to the results of comparing the expected rate of return and the target rate of return on the basis of the third data and the fifth data.

Description

Method and device for cattle breeding management based on return on investment

[0001] The present disclosure relates to a method and device for managing cattle breeding based on yield.

[0002] To grow cattle to their target weight, feeding management tailored to each growth stage is essential to maximizing their productivity and improving meat quality. Despite this, it's difficult to find services that accurately understand the meat production characteristics of each growth stage and provide feeds appropriate for the fattening stage.

[0003] The present disclosure relates to a method and device for cattle breeding management based on profitability, which is configured to facilitate reaching an expected profitability by supervising a manager so that cattle, which are the target of investment, can grow according to a program that provides a good understanding of the characteristics of cattle for each growth stage and feeds them with feed suitable for the fattening stage.

[0004] According to one embodiment of the present disclosure, a method for cattle breeding management based on profitability, performed by at least one processor, may include: obtaining second data representing a breeding program for cattle based on first data associated with a type of cattle and a measured weight of the cattle, wherein the second data includes information associated with at least one of a first target weight at a first time point, a second target weight at a second time point after a predetermined number of months have elapsed from the first time point, an amount of feed supplied, a type of feed, and appropriate management personnel; generating third data associated with a target profitability for the cattle based on at least some of the first data and the second data; receiving, after reaching the second time point, fourth data associated with an actual cost incurred in breeding the cattle up to the second time point from a management server associated with the cattle; generating fifth data associated with an expected profitability for the cattle based on the fourth data; and transmitting a management request for the cattle to the management server based on a result of comparing the expected profitability with the target profitability based on the third data and the fifth data.

[0005] According to one embodiment, the actual cost includes the actual feed cost, and the step of transmitting a management request for the cow to the manager server according to the result of comparing the expected rate of return and the target rate of return based on the third data and the fifth data may include the step of calculating the expected feed cost up to a second point in time according to the breeding program when the expected rate of return is less than the target rate of return, and the step of transmitting a management request instructing the manager server to increase the amount of feed supplied to the cow when the actual feed cost is less than the expected feed cost.

[0006] According to one embodiment, the actual cost further includes an actual feed cost and an actual management personnel cost, and when the actual feed cost is less than the expected feed cost, the step of transmitting a management request instructing an increase in the feed amount for the cow to the management server may include a step of calculating an expected management personnel cost up to a second point in time according to the breeding program when the actual feed cost is within a range determined based on the expected feed cost, and a step of transmitting a management request instructing an increase in management personnel for the cow to the management server when the expected management personnel cost is less than the actual management personnel cost.

[0007] In one embodiment, the step of transmitting a management request instructing an increase in management personnel for the cattle to the management server when the expected management personnel cost is less than the actual management personnel cost may include the step of transmitting a management request instructing an examination of the cattle for disease to the management server when the expected management personnel cost is within a range determined based on the actual management personnel cost.

[0008] In one embodiment, the second time point includes an end time point, and the step of generating third data associated with a target rate of return for the cattle based on at least some of the first data and the second data may include the steps of generating third data associated with a target rate of return for the cattle based on at least some of the first data and the second data, calculating a month corresponding to the end time point based on the current time point and the end time point, and updating the third data such that the target rate of return is adjusted based on the month.

[0009] In one embodiment, if the cattle are beef cattle, the period from the start to the end of the breeding program may be comprised of at least 8 months and less than 13 months.

[0010] In one embodiment, if the cattle are non-beef cattle, the period from the start to the end of the breeding program may be comprised of 28 months or more and less than 31 months.

[0011] In one embodiment, the target rate of return may include a lower bound determined based on the target rate of return.

[0012] According to another embodiment of the present disclosure, a computer program stored in a computer-readable recording medium may be provided for executing a yield-based cattle breeding management method on a computer.

[0013] According to another embodiment of the present disclosure, a cattle breeding management device may include a communication module, a memory, and at least one processor connected to the memory and configured to execute a computer-readable program included in the memory, wherein the program may be configured to: acquire second data representing a breeding program for a cattle based on first data associated with a type of cattle and a measured weight of the cattle, wherein the second data includes information associated with at least one of a first target weight at a first time point, a second target weight at a second time point after a predetermined number of months have elapsed from the first time point, an amount of feed supplied, a type of feed, and appropriate management personnel; generate third data associated with a target rate of return for the cattle based on at least a portion of the first data and the second data; receive, after the second time point is reached, fourth data associated with an actual cost incurred in breeding the cattle up to the second time point from a management server associated with the cattle; generate fifth data associated with an expected rate of return for the cattle based on the fourth data; and transmit a management request for the cattle to the management server based on a result of comparing the expected rate of return and the target rate of return based on the third data and the fifth data.

[0014] According to some embodiments of the present disclosure, if a target rate of return determined according to a breeding program deviates, the investment target can be managed so that the target rate of return is reached at the end of the program by providing the manager with a solution to resolve the deviation every month.

[0015] According to some embodiments of the present disclosure, by calculating a rate of return through the actual cost incurred in raising cattle and inversely estimating the current condition of the cattle through the rate of return, an environment for managing cattle raising can be provided even in a breeding environment where it is realistically impossible to measure weight every month.

[0016] FIG. 1 is a schematic diagram of a yield-based cattle breeding management system according to one embodiment of the present disclosure.

[0017] FIG. 2 is a block diagram showing the internal configuration of a user terminal and an information processing system according to one embodiment of the present disclosure.

[0018] FIG. 3 is a flowchart of a yield-based cattle breeding management method according to one embodiment of the present disclosure.

[0019] FIG. 4 illustrates an example of a display device screen in which a yield-based cattle breeding management system according to one embodiment of the present disclosure is implemented.

[0020] Hereinafter, specific details for implementing the present disclosure will be described in detail with reference to the attached drawings. However, in the following description, specific descriptions of widely known functions or configurations will be omitted if they may unnecessarily obscure the gist of the present disclosure.

[0021] In the attached drawings, identical or corresponding components are assigned the same reference numerals. Furthermore, in the description of the embodiments below, duplicate descriptions of identical or corresponding components may be omitted. However, even if a description of a component is omitted, it is not intended that such component is not included in any embodiment.

[0022] The advantages and features of the disclosed embodiments, and the methods for achieving them, will become clearer with reference to the embodiments described below, along with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure the completeness of the disclosure and to fully inform those skilled in the art of the scope of the invention.

[0023] The terms used in this specification will be briefly explained, followed by a detailed description of the disclosed embodiments. The terms used in this specification have been selected from widely used and common terms, taking into account the functions of the present disclosure. However, these terms may vary depending on the intentions of engineers working in the relevant field, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, terms may be arbitrarily selected by the applicant, in which case their meanings will be described in detail in the relevant description of the invention. Therefore, the terms used in this disclosure should not be defined simply as names of terms, but rather based on their meanings and the overall content of the present disclosure.

[0024] In this specification, singular expressions include plural expressions unless the context clearly dictates otherwise. Furthermore, plural expressions include singular expressions unless the context clearly dictates otherwise. Throughout the specification, when a part is said to "include" a component, this does not exclude other components, but rather implies the inclusion of other components, unless otherwise specifically stated.

[0025] Also, the term 'part' used in the specification means a software or hardware component, and the 'part' performs certain roles. However, the 'part' is not limited to software or hardware. The 'part' may be configured to be on an addressable storage medium and may be configured to play one or more processors. Thus, as an example, the 'part' may include at least one of components such as software components, object-oriented software components, class components, and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, or variables. The functionality provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or further separated into additional components and 'parts'.

[0026] Figure 1 is a schematic diagram of a yield-based cattle breeding management system (100) (hereinafter referred to as the "system") according to one embodiment of the present disclosure. Here, the system (100) may refer to a system designed to allow investors to invest in cattle raised on a farm and distribute the yield generated from such cattle to the investors. To this end, the system (100) may include at least one of an information processing system (110), an investor server (120), and a cattle management server (130).

[0027] The information processing system (110) may refer to a server associated with a platform where investment and / or profit distribution for cattle is performed.

[0028] The information processing system (110) can receive information related to the cow from the management server (130) associated with the farm where the cow is raised. Then, the information processing system (110) can assign a history number to the cow that is the target of investment. In addition, the information processing system (110) can collect and store information related to the cow to which the history number has been assigned (e.g., the type of farm where the cow is raised, the type of cow, its sex, current weight, age in months, (in the case of a female) the number of births, genetic ability, presence of disease, vaccination status, number of management personnel, etc.) by matching it with the history number.

[0029] The information processing system (110) can match a cow with a history number by matching one of multiple breeding programs. Here, the 'breeding program' may refer to a program in which the number of cows in the herd where the cow lives, the number of management personnel for the cow, the type of feed, the amount of feed supplied, the mixing ratio of each feed(s) (if there are multiple types of feed), and the target weight for each period are predetermined. The information processing system (110) may determine the breeding program for the cow based on at least one of farm information (breeding specialized farm or external purchasing farm), the number of calves of the cow, and the current weight. For example, the information processing system may determine the breeding program for the cow by distinguishing between the case where the cow is raised on a breeding specialized farm and an external purchasing farm. In addition, the information processing system may determine the breeding program for the cow based on the type of cow (beef cattle or non-beef cattle) and / or the number of calves experienced (if the cow is a cow).

[0030] The information processing system (110) may generate information related to investment in cattle based on information related to cattle and transmit the generated information to the investor server (120) and / or the administrator server (130). For example, the information processing system (110) may generate data indicating an achievable target rate of return when a cattle for which a breeding program has been determined reaches a target weight, and transmit the generated data to the investor server (120) and / or the administrator server (130). As another example, the information processing system (110) may generate data indicating an expected rate of return based on actual costs consumed according to a breeding program, and transmit the generated data to the investor server (120) and / or the administrator server (130). In this case, the data indicating the expected rate of return may be generated monthly while the breeding program is in progress and transmitted to the investor server (120) and / or the administrator server (130).

[0031] The information processing system (110) can transmit a management request including a solution related to breeding to the management server (130) based on information related to investment.

[0032] For example, if the expected yield in the first month of a breeding program is lower than or higher than the lower limit determined based on the target yield, the information processing system (110) may compare the expected feed cost according to the program with the actual feed cost used to breed the cattle. Then, in response to determining that the actual feed cost is lower than or higher than the lower limit of the expected feed cost, the information processing system (110) may transmit a management request to the management server (130) instructing an increase or decrease in the feed supply amount (or feed cost).

[0033] On the other hand, if the actual feed cost is within the lower and upper limits of the expected feed cost, the information processing system (110) can compare the recommended number of management personnel according to the program with the actual number of management personnel. Then, in response to determining that the actual number of management personnel is lower than the lower limit or higher than the recommended number of management personnel according to the program, the information processing system (110) can transmit a management request to the management server (130) instructing an increase or decrease in the number of management personnel (or management personnel cost).

[0034] Meanwhile, if the actual number of management personnel is within the lower and upper limits of the recommended number of management personnel, the information processing system (110) may transmit a management request instructing the control of the number of cattle in the herd to the management server (130). Additionally or alternatively, if the actual number of management personnel is within the lower and upper limits of the recommended number of management personnel, the information processing system (110) may transmit a management request instructing the examination of cattle for disease to the management server (130).

[0035] The cattle breeding management system (100) described above facilitates adjusting the final return on investment to closely match the target return on investment by growing cattle according to the target weight each month in a breeding environment where it is practically difficult to measure the weight of cattle monthly. In particular, if the actual feed cost is less than the lower limit of the expected feed cost, it may be because the cattle's feed consumption is low, and the manager has fed the cattle less than the feed amount stipulated in the program. In this case, since the cattle's actual weight is likely to be lower than the target weight for that month, the manager should be instructed to increase the feed amount (and consumption) of the cattle. On the other hand, if the actual feed cost exceeds the upper limit of the expected feed cost, it may be because the cattle's feed consumption is high, and the manager has fed the cattle more than the feed amount stipulated in the program. In this case, since the cattle's actual weight is likely to be higher than the target weight for that month, the manager should be instructed to decrease the feed amount (and consumption) of the cattle.

[0036] In general, the higher the weight of a cow, the higher its price, so it is easy to judge that the more feed a cow consumes in a short period of time is more advantageous for increasing the return on investment. However, in addition to the weight of the cow, the meat quality grade also determines the price of the cow. Therefore, during the breeding program, the weight of the cow must increase by an appropriate level every month until the final target weight is reached, so that not only the weight, which determines the price, but also the meat quality grade can reach the target grade. However, since it is realistically impossible to measure the weight or meat quality grade of the cow every month, the information processing system (110) is configured to target the target return according to the breeding program by adjusting the cost of each item consumed for raising the cow (feed, management personnel, etc.) within a certain range every month.

[0037] FIG. 2 is a block diagram illustrating the internal configuration of a user terminal (210) and an information processing system (230) according to one embodiment of the present disclosure. Here, the user terminal (210) may correspond to the investor server (120) or the administrator server (130) of FIG. 1. In addition, the information processing system (230) may correspond to the information processing system (110) of FIG. 1.

[0038] The user terminal (210) may refer to any computing device capable of executing a program for providing a small investment and management platform and capable of wired / wireless communication, and as illustrated, the user terminal (210) may include a memory (212), a processor (214), a communication module (216), and an input / output interface (218). Similarly, the information processing system (230) may include a memory (232), a processor (234), a communication module (236), and an input / output interface (238). As illustrated in FIG. 2, the user terminal (210) and the information processing system (230) may be configured to communicate information and / or data via a network using the respective communication modules (216, 236). In addition, the input / output device (220) may be configured to input information and / or data to the user terminal (210) or output information and / or data generated from the user terminal (210) via the input / output interface (218).

[0039] The memory (212, 232) may include any non-transitory computer-readable recording medium. According to one embodiment, the memory (212, 232) may include a non-permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), a disk drive, a solid state drive (SSD), a flash memory, etc. As another example, a non-permanent mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the user terminal (210) or the information processing system (230) as a separate permanent storage device distinct from the memory. In addition, the memory (212, 232) may store an operating system and at least one program code (e.g., code for executing a small investment and management platform application installed and operated on the user terminal (210).

[0040] These software components may be loaded from a computer-readable recording medium separate from the memory (212, 232). This separate computer-readable recording medium may include a recording medium directly connectable to the user terminal (210) and the information processing system (230), and may include, for example, a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, a memory card, etc. As another example, the software components may be loaded into the memory (212, 232) through a communication module (216, 236) other than a computer-readable recording medium. For example, at least one program may be loaded into the memory (212, 232) based on a computer program that is installed by files provided by developers or a file distribution system that distributes installation files of applications over a network.

[0041] The processor (214, 234) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to the processor (214, 234) by a memory (212, 232) or a communication module (216, 236). For example, the processor (214, 234) may be configured to execute instructions received according to program code stored in a recording device such as the memory (212, 232).

[0042] The communication module (216, 236) may provide a configuration or function for the user terminal (210) and the information processing system (230) to communicate with each other through a network, and may provide a configuration or function for the user terminal (210) and / or the information processing system (230) to communicate with another user terminal or another system (e.g., a separate cloud system, etc.). For example, a request (e.g., input of keyword data, etc.) or data (e.g., keyword data) generated by the processor (214) of the user terminal (210) according to a program code stored in a recording device such as a memory (212) may be transmitted to the information processing system (230) through a network under the control of the communication module (216). Conversely, a control signal or command provided under the control of the processor (234) of the information processing system (230) may be received by the user terminal (210) through the communication module (216) of the user terminal (210) via the communication module (236) and the network.

[0043] The input / output interface (218) may be a means for interacting with an input / output device (220). Specifically, the input / output device (220) may include an input device such as a camera including an audio sensor and / or an image sensor, an Inertial Measurement Unit (IMU) sensor, a keyboard, a microphone, a mouse, etc. Additionally, the input / output device (220) may include an output device such as a display, a speaker, a haptic feedback device, etc. As another example, the input / output interface (218) may be a means for interfacing with a device that integrates a configuration or function for performing input and output, such as a touch screen.

[0044] In FIG. 2, the input / output device (220) is illustrated as not being included in the user terminal (210), but is not limited thereto, and may be configured as a single device with the user terminal (210). In addition, the input / output interface (238) of the information processing system (230) may be a means for interfacing with a device (not shown) for input or output that is connected to the information processing system (230) or that the information processing system (230) may include. In FIG. 2, the input / output interfaces (218, 238) are illustrated as elements configured separately from the processors (214, 234), but is not limited thereto, and the input / output interfaces (218, 238) may be configured to be included in the processors (214, 234).

[0045] The user terminal (210) and the information processing system (230) may include more components than those shown in FIG. 2. However, there is no need to explicitly illustrate most of the conventional components. According to one embodiment, the user terminal (210) may be implemented to include at least some of the input / output devices (220) described above. In addition, the user terminal (210) may further include other components, such as a transceiver, a Global Positioning System (GPS) module, a camera, various sensors, a database, etc. For example, if the user terminal (210) is a smartphone, it may include components that a smartphone generally includes, and various components, such as an acceleration sensor, a gyro sensor, a microphone module, a camera module, various physical buttons, buttons using a touch panel, input / output ports, and a vibrator for vibration, may be implemented to be further included in the user terminal (210).

[0046] According to one embodiment, the processor (214) of the user terminal (210) may be configured to run a program for controlling the user terminal (210) including functions such as audio, video, and recording. At this time, code associated with the program may be loaded into the memory (212) of the user terminal (210). While the program is running, the processor (214) of the user terminal (210) may receive information and / or data provided from the input / output device (220) through the input / output interface (218) or may receive information and / or data from the information processing system (230) through the communication module (216), and may process the received information and / or data and store the information and / or data in the memory (212). In addition, such information and / or data may be provided to the information processing system (230) through the communication module (216).

[0047] While the program for the small investment and management platform of the user terminal (210) is running, the processor (214) can receive voice data, text, images, videos, etc. input or selected through an input / output device (220) connected to an input / output interface (218), and can store the received voice data, text, images, and / or videos in the memory (212) or provide them to the information processing system (230) through a communication module (216) and a network. Additionally or alternatively, the processor (214) can receive voice data, text, images, videos, etc. through an information processing system (230) connected through a network, and can store the received voice data, text, images, and / or videos, etc. in the memory (212) or provide them to the information processing system (230) through a communication module (216) and a network.

[0048] The processor (234) of the information processing system (230) may be configured to manage, process, and / or store information and / or data received from a plurality of user terminals and / or a plurality of external systems. Specifically, the processor (234) may manage, process, and / or store user inputs received from the user terminal (210) and log data according to the user inputs. Additionally or alternatively, the processor (234) may be configured to store and / or update programs for executing algorithms used to provide a user interface for small investment and management of the user terminal (210) from a separate cloud system, database, etc. connected to the network.

[0049] FIG. 3 is a flowchart of a yield-based cattle breeding management method (300) according to one embodiment of the present disclosure. The cattle breeding management method (300) of the present disclosure may be performed by at least one processor (e.g., processor (234)) of an information processing system. Meanwhile, as illustrated, the method (300) may begin with a step (S310) of acquiring second data indicating a breeding program for cattle based on first data associated with the type of cattle and the measured weight of the cattle. In this case, the second data may include information associated with at least one of a first target weight at a first time point, a second target weight at a second time point that is a predetermined number of months after the first time point, the amount of feed supplied, the type of feed, and appropriate management personnel.

[0050] According to one embodiment, the processor may generate third data associated with a target rate of return for the cow based on at least some of the first data and the second data (S320). Then, after reaching the second time point, the processor may receive fourth data associated with the actual cost of raising the cow up to the second time point from the management server associated with the cow (S330). Here, the actual cost may include the actual feed cost. As an example, the processor may calculate the expected feed cost up to the second time point according to the breeding program if the expected rate of return is less than the target rate of return. Then, if the actual feed cost is less than the expected feed cost, the processor may transmit a management request to the management server instructing an increase in the feed amount for the cow. As another example, the processor may calculate the expected feed cost up to the second time point according to the breeding program if the expected rate of return is less than the target rate of return. Then, if the actual feed cost is less than the expected feed cost, the processor may transmit a management request to the management server instructing an increase in the feed amount for the cow.

[0051] Additionally or alternatively, actual costs may further include actual feed costs and actual management personnel costs. For example, if the actual feed costs fall within a range determined based on the estimated feed costs, the processor may calculate the estimated management personnel costs up to a second point in time according to the breeding program. If the estimated management personnel costs are less than the actual management personnel costs, the processor may transmit a management request to the management server instructing an increase in management personnel costs for the cattle. More specifically, if the estimated management personnel costs fall within a range determined based on the actual management personnel costs, the processor may transmit a management request to the management server instructing the cattle to be tested for disease.

[0052] In one embodiment, the processor may generate fifth data associated with the expected return on the cattle based on the fourth data (S330). The processor may then transmit a management request for the cattle to the management server based on the results of comparing the expected return with the target return based on the third and fifth data.

[0053] In one embodiment, the second time point may include an end time point. In this case, the processor may generate third data associated with a target return for the cattle based on at least some of the first and second data. The processor may then calculate a month corresponding to the end time point based on the current time point and the end time point, and update the third data so that the target return is adjusted based on the calculated month.

[0054] In one embodiment, if the cattle are beef cattle, the period from the start to the end of the breeding program may be no less than 8 months and no more than 13 months. Additionally or alternatively, if the cattle are non-beef cattle, the period from the start to the end of the breeding program may be no less than 28 months and no more than 31 months.

[0055] FIG. 4 illustrates an example of a display device screen (400) in which a yield-based cattle breeding management system (e.g., system (100)) according to one embodiment of the present disclosure is implemented. As illustrated, a processor (e.g., processor (234)) may assign a history number (410) to a single cow. Accordingly, when the system searches for the history number (410), the ID (420) of a cow (or calf) belonging to a specific farm, the record of the feed feeding date (430) of the cow, the age of the cow (440), and the total amount of feed cost (450) fed to the cow may be confirmed.

[0056] The preceding description of the present disclosure is provided to enable those skilled in the art to make or use the present disclosure. Various modifications to the present disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to various modifications without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the examples described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0057] While the present disclosure has been described in connection with certain embodiments, it should be understood that various modifications and variations can be made without departing from the scope of the present disclosure, which would be apparent to those skilled in the art. Furthermore, such modifications and variations are intended to fall within the scope of the claims appended to this specification.

Claims

1. A step of obtaining second data representing a breeding program for a cow based on first data associated with the type of cow and the measured weight of the cow, wherein the second data includes information associated with at least one of a first target weight at a first time point, a second target weight at a second time point after a certain number of months have elapsed from the first time point, the amount of feed supplied, the type of feed, and appropriate management personnel; A step of generating third data associated with a target rate of return for the cow based on at least some of the first data and the second data; After reaching the second point in time, a step of receiving fourth data related to the actual cost incurred in raising the cow up to the second point in time from the manager server associated with the cow; A step of generating fifth data related to the expected rate of return for the cow based on the fourth data; A step of transmitting a management request for the cow to the administrator server based on the result of comparing the expected rate of return and the target rate of return based on the third data and the fifth data. A yield-based cattle breeding management method performed by at least one processor, comprising:

2. In paragraph 1, The above actual cost includes actual feed cost, The step of transmitting a management request for the cow to the administrator server according to the result of comparing the expected rate of return and the target rate of return based on the third data and the fifth data is as follows: If the above expected rate of return is less than the target rate of return, a step of calculating the expected feed cost up to the second time point according to the breeding program; If the actual feed cost is less than the expected feed cost, a step of transmitting a management request to the management server to instruct an increase in the amount of feed supplied to the cow. A yield-based cattle breeding management method performed by at least one processor, comprising:

3. In paragraph 2, The above actual cost includes actual feed cost and actual management personnel cost, If the actual feed cost is less than the expected feed cost, the step of sending a management request to the management server to instruct an increase in the amount of feed supplied to the cow is as follows: If the actual feed cost is included in the range determined based on the expected feed cost, a step of calculating the expected management personnel cost up to the second point in time according to the breeding program; and If the above-mentioned expected management personnel cost is less than the above-mentioned actual management personnel cost, a step of transmitting a management request instructing the management server to increase the management personnel for the above-mentioned cow A yield-based cattle breeding management method performed by at least one processor, comprising:

4. In paragraph 3, If the above-mentioned expected management personnel cost is less than the above-mentioned actual management personnel cost, the step of transmitting a management request instructing the management server to increase the management personnel for the above-mentioned cow is as follows: If the above-mentioned expected management personnel cost is included in the range determined based on the above-mentioned actual management personnel cost, a step of transmitting a management request to the management server instructing the cattle to be tested for disease. A yield-based cattle breeding management method performed by at least one processor, comprising:

5. In paragraph 1, The above second point in time includes the end point, The step of generating third data associated with the target rate of return for the cow based on at least some of the first data and the second data is as follows: A step of generating third data associated with a target rate of return for the cow based on at least some of the first data and the second data; A step of calculating a month corresponding to the end point based on the current point in time and the end point; and A step of updating the third data so that the target rate of return is adjusted based on the month. A yield-based cattle breeding management method performed by at least one processor, comprising:

6. In paragraph 5, A yield-based cattle breeding management method performed by at least one processor, wherein the period from the start of the breeding program to the end of the breeding program is 8 months or more and less than 13 months, when the type of cattle is beef cattle.

7. In paragraph 5, A method for managing cattle breeding based on profitability, performed by at least one processor, wherein the period from the start of the breeding program to the end of the program is 28 months or more and less than 31 months, when the type of cattle is non-beef cattle.

8. A computer program stored in a computer-readable recording medium for executing a profit-based cattle breeding management method according to any one of paragraphs 1 to 7 on a computer.

9. Communication module; memory; and At least one processor connected to said memory and configured to execute a computer-readable program contained in said memory Including, The above program Obtaining second data representing a breeding program for a cow based on first data associated with the type of cow and the measured weight of the cow, wherein the second data includes information associated with at least one of a first target weight at a first time point, a second target weight at a second time point after a certain number of months have elapsed from the first time point, the amount of feed supplied, the type of feed, and appropriate management personnel. Generating third data associated with a target rate of return for the cow based on at least some of the first data and the second data; After reaching the second point in time, receiving fourth data related to the actual cost incurred in raising the cow up to the second point in time from the administrator server associated with the cow; Based on the above fourth data, generating fifth data related to the expected rate of return for the cow Transmitting a management request for the cow to the administrator server based on the result of comparing the expected rate of return and the target rate of return based on the third data and the fifth data. A yield-based cattle breeding management device configured to run.

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