Cow rumen management system

Abstract

To allow for accurately measuring an amount of emission of methane gas emitted from each cow without burden on regular work of a dairy farmer or a livestock former and, when emission of methane gas is reduced, issue a carbon credit corresponding to an amount of reduction to eliminate economic burden on the dairy farmer or the livestock former.SOLUTION: Concentration transition data, individual data of a cow 12, and activity history data are acquired from a dairy farmer-side management server 10 to calculate an amount of emission of methane gas M in one day of the cow 12, and effect measurements corresponding to kinds of feed for the cow 12 (amounts of reduction in methane gas and effects on increase in body weight), health management of the cow 12, and analysis about credit creation and credit profits relating to reduction in methane gas are performed. Credit application processing is performed for a credit office management server 20. The dairy farmer-side management server 10 receives a compensation from the credit office management server 20 as a direct notification. Analysis results and suggestion for proper feed are sent to the dairy farmer-side management server.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] This invention relates to a rumen management system for cattle. Specifically, the system involves having cattle swallow a smart pill sensor capable of detecting at least methane gas concentration, acquiring the detected information via wireless communication and storing it in a database, and establishing a system that, based on the big data in the database, can provide compensation (carbon credits) commensurate with the amount of methane gas reduction. [Background technology]

[0002] It is known that methane gas produced in the rumen of cows, released through aeration (so-called burping), contributes to the greenhouse effect. Although feed and other products that are effective in suppressing methane gas have been developed, no system has been established to enable dairy farmers and livestock farmers to actively promote greenhouse effect suppression.

[0003] The rumen (first stomach) that cows have is an organ that uses the power of microorganisms to digest fibrous components that cannot be digested by the ruminant's own digestive tract. When cows break down feed in the rumen, methane gas is produced. This methane gas is then released into the outside air as aerated gas.

[0004] In the first half of the 21st century, there are approximately 1.5 billion cows on Earth, and each cow emits 300 to 500 liters of methane gas per day, making them a source of greenhouse gas emissions.

[0005] Meanwhile, a management system has been developed for farming households that collectively manages individual data and activity history data of cows (see Patent Documents 1 and 2).

[0006] Patent document 1 describes an activity status management system that manages the activities of livestock cattle in an integrated manner, and describes that the cattle activity status management system includes an activity status sensor module equipped with a three-axis acceleration sensor that is attached to cattle within a management area, and an activity status determination unit that determines the multiple activity states of the cattle based on the measurement values ​​of the three-axis acceleration sensor, which shows different measurement patterns depending on the multiple activity states of the cattle.

[0007] Furthermore, Patent Document 2 describes that, with the objective of providing a cow health status management system capable of detecting diseases that progress at different speeds in cows, the activity status management system comprises an activity status sensor module equipped with a 3-axis acceleration sensor and a barometric pressure sensor, and a management device connected to the activity status sensor module via a communication network, and the management device includes an activity status determination unit, a health status determination unit, a communication unit, a memory unit, a display unit, and a control unit that controls the system as a whole, and the activity status determination unit calculates behavioral indexes, resting indexes, and rumination indexes corresponding to the identified activity status of the cow based on the cow's activity data received from the activity status sensor module, and the health status determination unit determines whether or not there is an abnormality in the cow's health status using a predetermined determination model based on the calculated behavioral indexes, resting indexes, and rumination indexes of the cow, and the control unit controls the system to generate a command to display a warning if there is an abnormality in the cow's health status. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Japanese Patent Application Publication No. 2018-7613 [Patent Document 2] Japanese Patent Application Publication No. 2019-122368 Summary of the Invention [Problem to be solved by the invention]

[0009] However, although dairy and livestock farmers have introduced systems to manage individual cows, raising cows from a carbon-neutral perspective (reducing methane gas emissions) places a burden on the primary work of dairy farming, making it difficult to reduce methane gas emissions.

[0010] Furthermore, feed that suppresses the production of methane gas from cows (hereinafter referred to as "specific feed") is currently being developed, but if individual dairy farmers and livestock farmers take proactive action to achieve the 13th goal of the SDGs (Sustainable Development Goals) (specific measures to combat climate change), this could impose an economic burden on them in addition to the workload mentioned above.

[0011] The present invention aims to provide a cow rumen management system that can accurately measure the amount of methane gas emitted from each cow without placing a burden on dairy farmers and livestock farmers in their normal work, and that can alleviate the financial burden on dairy farmers and livestock farmers by issuing carbon credits commensurate with the amount of methane gas emissions reduced. [Means for solving the problem]

[0012] A cow rumen management system according to a first aspect of the present invention comprises a concentration sensor that detects the concentration of methane gas produced by fermentation in the rumens of cows raised at dairy farms and livestock farms; a receiving unit that receives methane gas concentration information detected by the concentration sensor; a calculation unit that calculates the amount of methane gas emitted from the cows based on the methane gas concentration information received by the receiving unit and the air intake of the cows; and an application unit that converts the amount of methane gas reduction obtained by continuously aggregating the cow emissions calculated by the calculation unit into carbon credits, and applies for the converted carbon credits to a credit issuing organization whose business is to pay compensation based on the amount of methane gas reduction.

[0013] The second aspect is characterized in that, in the cow rumen management system according to the first aspect, the application unit continuously aggregates the cow emissions calculated by the calculation unit and stores them in a database, and converts the amount of methane gas reduction per specified period into carbon credits based on the information in the database and submits an application.

[0014] The third aspect is characterized in that in the first aspect or the cattle rumen management system according to the first aspect, the aeration volume of the cattle is calculated by adding up the aeration volume per time, which correlates with the weight of the cattle, and the number of aerations during the period for which the methane gas emission amount is calculated.

[0015] A fourth aspect is characterized in that, in the cow rumen management system according to any one of the first to third aspects, the concentration sensor is incorporated as a sensor module into an oral object that can be swallowed by the cow, and the oral object is equipped with a detection control unit that controls the detection process by the concentration sensor, a communication unit that wirelessly transmits information on the results of the detection process by the detection control unit to the receiving unit, and a power supply unit that operates the concentration sensor, the detection control unit, and the communication unit.

[0016] A fifth aspect is characterized in that, in the cow rumen management system of the fourth aspect, the sensor module is equipped with a pressure sensor, and the detection control unit determines whether or not there is airflow based on pressure changes in the cow's rumen, counts the number of times airflow has occurred, and wirelessly transmits this as one of the result information to the receiving unit via the communication unit.

[0017] According to the present invention having such a configuration, the amount of methane gas emissions reduced over time can be visualized from the daily methane gas emissions M, quantified, and submitted to a carbon credit issuing organization, and dairy farmers and livestock farmers can be compensated for the methane gas reduction, thereby increasing the motivation of dairy farmers and livestock farmers to reduce methane gas.

[0018] What is new about this invention compared to conventional technology is that it detects and analyzes the concentration of methane gas emitted from cows' rumens, and it represents a major advancement in that it creates a system that links the amount of methane gas reduction to carbon credits. [Effects of the Invention]

[0019] As described above, according to the present invention, it is possible to accurately measure the amount of methane gas emitted from each cow without placing a burden on dairy farmers and livestock farmers in their normal work, and if methane gas emissions are reduced, carbon credits commensurate with the amount of reduction can be issued, thereby eliminating the economic burden on dairy farmers and livestock farmers. [Brief explanation of the drawings]

[0020] [Figure 1] 1 is an overall configuration diagram of a methane gas concentration management system for cows according to an embodiment of the present invention. [Figure 2] FIG. 2 is a control block diagram of a dairy farmer's server and a customer management server in a cow methane gas concentration management system according to the present embodiment. [Figure 3] 1 is a schematic diagram of a smart pill sensor that is swallowed by a cow. [Figure 4] 10 is a flowchart showing a data output control routine by the smart pill sensor. [Figure 5] 10 is a flowchart showing a control routine for managing individual cows by a dairy farmer's server. [Figure 6] 10 is a flowchart showing a methane gas reduction effect management control routine performed by a customer management server. [Figure 7] (A) is a characteristic diagram showing the relationship between the weight of the cow and the amount of air given at one time, and (B) is a diagram showing the air count using a pressure sensor. [Figure 8]The figure shows a front view of a screen displayed on a monitor as a representative example of the output system of the input / output device of the dairy farmer's server. (A) is a screen for managing the normal breeding of multiple cows managed independently by the dairy farmer's server, and (B) is a screen for managing the methane gas reduction effect provided by the customer management server. DETAILED DESCRIPTION OF THE INVENTION

[0021] 1 is an overall configuration diagram of a cow methane gas concentration management system 14 that includes a dairy farmer-side management server 10 that mainly manages the health status of cows according to this embodiment and manages the amount of methane gas emitted from the rumen 12A, the first stomach of a cow 12, and is released by aeration. Note that this embodiment is targeted at dairy farmers, but the system can also be used for livestock farmers.

[0022] Each of the multiple dairy farmer management servers 10 is connected to a customer management server 18 via a network 16 such as the Internet. Also connected to the network 16 is a credit bureau management server 20 located in a credit bureau, which is an example of a domestic organization of a credit issuing organization (described below). Note that credit issuing organizations include all credit issuing institutions and credit issuing organizations (e.g., overseas voluntary credit issuing organizations), both domestic and international, of which the credit bureau is one example.

[0023] (Dairy farmer's management server 10) As shown in FIG. 1, the dairy farmer's management server 10 includes a network I / F 22, an individual management control unit 24, an input / output device 26, a wireless repeater 28, and an individual management database 30.

[0024] The wireless repeater 28 has the role of relaying and receiving information transmitted from the smart pill sensors 32 that are swallowed by multiple cows 12 kept at dairy farms managed by the dairy farmer-side management server 10 and remain in their bodies (rumens 12A). The smart pill sensors 32 will be described in more detail later, but their basic function is to detect the concentration of methane gas generated in the rumen 12A (first stomach) of the cows 12 and transmit the detected information.

[0025] As shown in Figure 2, the individual management control unit 24 of the dairy farmer's management server 10 is a microcomputer composed of a CPU 24A, RAM 24B, ROM 24C, input / output port (I / O) 24D, and a bus 24E such as a data bus or control bus that connects these.

[0026] The I / O 24D is connected to the network I / F 22, the wireless repeater 28, the input / output device 26, and the individual management database 30.

[0027] The input / output device 26 is typically an input system such as a keyboard, mouse, touch panel, etc., and typically an output system such as a monitor, printer, smartphone, tablet, etc. In this embodiment, the individual management data of the cow 12, etc., is displayed on a monitor (see screens 26A and 26B shown in FIG. 8), allowing the dairy farmer to intuitively recognize so-called visualized information, and the dairy farmer can grasp appropriate cow management information without being burdened with complicated dairy farming work.

[0028] (Smart Pill Sensor 32) 3, the smart pill sensor 32 is introduced into the rumen 12A by being swallowed by the cow 12 along with the feed. By attaching or incorporating an appropriate weight to the smart pill sensor 32, the smart pill sensor 32 can be retained in the rumen 12A for a desired period of time.

[0029] The smart pill sensor 32 is covered with a housing 34 made of a material that will not deform or deteriorate in response to the environment within the lumen 12A. The housing 34 contains a power supply unit 36, a sensor module 38, a detection control unit 40, and a communication unit 42.

[0030] The sensor module 38 here refers to a concentration sensor that detects the concentration of methane gas in the lumen 12A, but it is also possible to install a pressure sensor (for detecting the number of times of air intake and exhaust) described later.

[0031] The housing 34 is provided with a methane gas concentration detection port 34A, which faces the detection surface (ie, the methane gas concentration detection surface) of the sensor module 38, making it possible to detect the methane gas concentration in the lumen 12A.

[0032] The sensor module 38, the detection control unit 40, and the communication unit 42 are each supplied with power from the power supply unit 36, and are able to continue operating in their respective functions for the period of time remaining in the lumen 12A or longer.

[0033] The sensor module 38 periodically detects the methane gas concentration in response to instructions from the detection control unit 40 and sends the detected methane gas concentration to the detection control unit 40. The detection control unit 40 plots the detected methane gas concentration on a timeline and stores it sequentially. Furthermore, when the detection control unit 40 creates concentration transition data plotted on the timeline for a certain period of time, it transmits the concentration transition data to the dairy farmer's management server 10 via the communication unit 42.

[0034] This data is transmitted wirelessly, but is also transmitted together with information (such as an ID) that identifies the cow 12, so that the dairy farmer's management server 10 can manage concentration transition data from multiple cows 12 for each cow 12.

[0035] Incidentally, methane gas produced by digestive tract fermentation in the rumen 12A of cow 12 is released into the atmosphere as burps. This release into the atmosphere not only contributes to global warming but also results in a loss of feed energy.

[0036] Therefore, in this embodiment, the customer management server 18 manages the amount of methane gas emitted from the rumen 12A of the cow 12, measures the effectiveness according to the type of feed, manages health, and suggests appropriate feed, and a system has been created that generates revenue by generating credits in return for dairy farmers reducing methane gas emissions.

[0037] (Customer Management Server 18) As shown in FIG. 2, the customer management server 18 includes a network I / F 44 and acquires various information from a plurality of dairy farmer-side management servers 10 via the network 16 .

[0038] That is, the customer management server 18 receives necessary information from each dairy farmer's management server 10, such as methane gas concentration transition data detected from the cow's breath, individual cow data, activity management data, and methane gas concentration detection information obtained from the smart pill sensor 32.

[0039] The individual data of a cow includes ID, height, weight, age, etc., and the activity history data includes timeline information on eating, drinking, movement (still, walking, running), lying down, and rumination.

[0040] Therefore, the customer management server 18 aggregates various information about multiple cows raised by multiple dairy farms.

[0041] Various information received via the network I / F 44 is sent to the customer management control unit 46 .

[0042] The customer management control unit 46 includes a management information collection unit 48 , a calculation processing unit 50 , an analysis processing unit 52 , an effect information providing unit 54 , a credit application unit 56 , and a database 58 .

[0043] The management information collection unit 48 of the customer management server 18 stores the received various information in a database 58, generating so-called big data.

[0044] The calculation processing unit 50 of the customer management server 18 calculates the amount of methane gas emitted by the cow 12 per day, M, based on equation (1).

[0045] M = N × A × Dm (1)

[0046] Here, M is the amount of methane gas emitted per day, N is the number of aerations per day, A is the unit aeration volume, and Dm is the methane gas concentration.

[0047] The amount of methane gas emitted per day M can be calculated from the activity history data of the cows 12 obtained from the database 58.

[0048] That is, the average number of times for each individual cow 12 is set as the initial value of the number of times N (constant) for aeration, and as shown in Figure 7(A), the constant is corrected according to growth (weight gain) based on the characteristic diagram (N = N + weight gain rate × a), where a is a correction coefficient set for each individual cow. Aeration can be determined by comparing the change in pressure inside the rumen 12A of the cow 12 with a threshold value, as shown in Figure 7(B).

[0049] The number of aerations required to obtain the number of aerations per day N can be detected by providing a sensor (such as a flow sensor) that can detect aeration at the mouth of the cow 12. A pressure sensor may be additionally provided to the smart pill sensor 32 shown in Figure 2, and the pressure sensor may detect changes in pressure within the lumen 12A. As shown in Figure 7(B), the number of aerations can be detected by detecting a drop in pressure during aeration and comparing it with a threshold value.

[0050] As a specific example of setting the unit air volume A, the weight can be read from the individual cow management database, and the air volume at the current weight can be set as a constant based on a pre-set weight-air volume characteristic table.

[0051] As a specific example of detecting the methane gas concentration Dm, the average or median value of the amount detected in one day by the concentration sensor provided in the smart pill sensor 32 may be used.

[0052] The analysis processing unit 52 of the customer management server 18 performs an analysis process of the methane gas reduction effect using the calculation result of the above formula (1), the individual data of the cow 12, and the activity history data.

[0053] The effect information providing unit 54 of the customer management server 18 sends methane gas concentration reduction effect data to the dairy farmer side management server 10 based on the analysis results of the analysis processing unit 52.

[0054] Methane gas concentration reduction effect data refers to information on measuring the effect depending on the type of feed, proposing appropriate feed, and credit creation and credit earnings.

[0055] The effectiveness measurements according to the type of feed include so-called result information such as the amount of methane gas reduction, weight gain effect, and health management (body temperature, exercise).

[0056] Proposals for appropriate feed include information that considers the effects of feed used so far and suggests maintaining, changing, and increasing the amount of feed in the future.

[0057] The information on credit creation and credit earnings is intended to motivate dairy farmers to reduce methane gas concentrations by presenting the creation of credits (credit applications) through methane gas reduction and the earnings from those credits.

[0058] The credit application unit 56 of the customer management server 18 applies to the credit secretariat management server 20 (see Figure 1) for credit to realize rewards for the efforts of each dairy farmer based on the analysis results of the analysis processing unit 52, and the dairy farmer's management server 10 can receive compensation for the credit directly from the credit secretariat management server 20.

[0059] The operation of this embodiment will be described below with reference to the flowcharts of FIGS.

[0060] (Data output control by Smart Pill Sensor 32) FIG. 4 is a flowchart showing a data output control routine by smart pill sensor 32.

[0061] In step 100, data is cleared as an initial setting (memory in the detection control unit 40 of the smart pill sensor 32 is cleared), and then the process proceeds to step 102, where it is determined whether or not it is time to detect the concentration.

[0062] If the determination in step 102 is affirmative, the process proceeds to step 104, where the concentration sensor attached to the sensor module 38 detects the methane gas concentration in the rumen 12A of the cow 12, and the process proceeds to step 106.

[0063] In step 106, the detected methane gas concentration is plotted on a time line, and the process proceeds to step 108.

[0064] If the determination in step 102 is negative, the process proceeds to step 108.

[0065] In step 108, it is determined whether a certain period of time has passed. This certain period of time corresponds to a timeline, and is preferably, for example, about one day.

[0066] If the determination in step 108 is negative, the process returns to step 102 and the above process is repeated. If the determination in step 108 is positive, the process proceeds to step 110, where concentration transition data on a timeline for a certain period is created, and then the process proceeds to step 112, where the created concentration transition data is sent to the dairy farmer's management server 10 via the communication unit 42 together with the identification information (ID) of the cow 12, and the process returns to step 100.

[0067] The smart pill sensor 32 resides in the rumen 12A of the cow 12 and repeatedly executes the flowchart of FIG. 4 (data output control).

[0068] The smart pill sensor 32 is attached with a weight so that it remains in the rumen 12A of the cow 12 for the desired period of time, so that the dairy farmer can receive concentration transition data every time (in this embodiment, every day) without being forced to do any special work.

[0069] (Individual management control of cows 12 by dairy farmer's management server 10) FIG. 5 is a flowchart showing the control routine for managing individual cows 12 by the dairy farmer's management server 10.

[0070] In step 120, activity data of the cow 12 is received from various sensors that detect the activity state, and then the process proceeds to step 122, where behavioral indices, resting indices, and ruminative indices corresponding to the activity state of the cow 12 are calculated, and the process proceeds to step 124.

[0071] In step 124, the presence or absence of abnormalities in the health condition of the cow 12 is determined using a predetermined determination model.

[0072] In the next step 126, concentration transition data is acquired from the smart pill sensor 32, and then the process proceeds to step 128, where the determination result and concentration transition data are stored in the individual management database 30, and the process proceeds to step .

[0073] In step 130, a monitor display screen, for example, as shown in screen 26A of Figure 8(A), is generated based on various information, and in the next step 132, a display process for various information is executed on the input / output device 26 (monitor) based on the dairy farmer's operating instructions, and this routine ends.

[0074] (Methane gas reduction effect management control by customer management server 18) FIG. 6 is a flowchart showing a methane gas reduction effect management control routine performed by the customer management server 18.

[0075] In step 150, concentration transition data is obtained from the dairy farm management server 10, then the process proceeds to step 152, where individual data and activity history data for the cow 12 are obtained from each dairy farm management server 10, and the process proceeds to step 154.

[0076] In step 154, the individual data, activity history data, and concentration transition data of the cow 12 are stored as methane gas reduction effect management information.

[0077] In the next step 156, the amount of methane gas emitted per day M for each cow 12 is calculated based on the above-mentioned formula (1).

[0078] Here, M is the amount of methane gas emitted per day, N is the number of aerations per day (see Figures 7(A) and (B)), A is the unit aeration volume, and Dm is the methane gas concentration.

[0079] In the next step 158, an analysis process of the methane gas reduction effect is executed. Specifically, an analysis is executed on the measurement of the effect according to the type of feed for the cows 12 (methane gas reduction amount, weight gain effect), the health management of the cows 12, and the creation of credits and credit earnings related to the methane gas reduction.

[0080] In the next step 160, a credit application process (called a digital application) is executed on the credit bureau management server 20, and the process proceeds to step 162. Note that paper applications may also be accepted in case of a failure such as a server downtime or a network access error. After the failure is resolved, it is preferable to register information regarding paper applications in the same way as if the application had been made digitally. Furthermore, the credit application process is executed by the customer management server 18, and the compensation (remuneration) is notified directly from the credit bureau management server 20 to the dairy farmer management server 10. Note that a portion of the sales profits from the credit granted by the credit bureau may be distributed to the dairy farmers and livestock farmers, and the customer management server 18 may notify the dairy farmer management server 20.

[0081] In step 162, the analysis results and appropriate feed recommendations are sent to each dairy farmer's server, and this routine ends.

[0082] (Monitor display example) FIG. 8 is a front view of screens 26A and 26B displayed on a monitor as a representative example of the output system of the input / output device 26 of the dairy farmer's management server 10. As shown in FIG.

[0083] A screen 26A shown in FIG. 8(A) is a normal breeding management screen for a plurality of cows 12 independently managed by the dairy farmer's management server 10, and shows individual data.

[0084] An activity timeline area 60 is displayed as individual data for the cow 12, allowing the user to visually grasp the daily behavior of the cow 12 (eating, drinking, walking, lying down, running, standing still, ruminating). In addition, an activity evaluation area 62 is provided on the right side of the activity timeline area 60, and displays the suitability of each item (◎, ○, △, ×, etc.).

[0085] In addition, below the activity evaluation area 62, there is a yesterday's activity amount area 64, which displays result information based on the activity timeline, and displays the time spent for each activity category: eating, drinking, walking, lying down, running, resting, and ruminating.

[0086] Furthermore, below the yesterday's activity amount area 64, an activity transition area 66 for each item is provided, and is displayed in graph form on a monthly basis.

[0087] Note that the characters, numbers, graphs, etc. shown in each area (activity timeline area 60, activity evaluation area 62, yesterday's activity amount area 64, and activity transition area 66) do not have any special meaning and are shown as an example of a display format. Also, the items in each area are examples and may be edited (changed, added, deleted, etc.) as appropriate.

[0088] A screen 26B shown in FIG. 8(B) is a methane gas reduction effect management screen provided by the customer management server, and shows methane gas concentration reduction effect data.

[0089] The data on the effect of reducing methane gas concentration is displayed categorized into an effect measurement area 68 according to the type of feed, an appropriate feed suggestion area 70, and a credit creation and credit income area 72.

[0090] The effect measurement area 68 according to the type of feed displays so-called result information such as the amount of methane gas reduction, weight gain effect, and health management (body temperature, exercise).

[0091] The area 70 for suggesting appropriate feed displays information such as a consideration of the effects of feed used up to now, and suggestions for maintaining, changing, and increasing the amount of feed in the future.

[0092] The credit creation and credit earnings area 72 displays information on the creation of credits (credit applications) through methane gas reduction and the earnings thereof, thereby motivating dairy farmers to reduce methane gas concentrations.

[0093] Note that the characters, numbers, graphs, etc. shown in each area (effectiveness measurement area 68, appropriate feed proposal area 70, and credit creation & credit earnings area 72) do not have any special meaning, but are shown as an example of a display format. Also, the items in each area are examples, and may be edited (changed, added, deleted, etc.) as appropriate.

[0094] In this way, in addition to the original management function (well-known technology) of the dairy farmer's management server 10, it is now possible to suppress the amount of methane gas emitted from the rumen 12A of the cow 12 and to continuously notify the status of the compensation received for the suppression, thereby encouraging dairy farmers to reduce methane gas.

[0095] In this embodiment, the smart pill sensor 32 is swallowed by the cow and concentration history data is periodically acquired from the smart pill sensor 32, but it is also possible to simply attach a sensor to the cow's mouth that detects the concentration of methane gas from the air.

[0096] Furthermore, any other means may be used to detect the methane gas concentration in the cow's rumen 12A, rather than relying on the smart pill sensor 32. For example, a concentration sensor may be attached to the cow's mouth (on the teeth, etc.) to directly detect the methane gas component in the air.

[0097] The methane gas concentration Dm may be detected from the amount of volatile fatty acids (VFAs) produced by fermentation based on the relationship between the amount of VFAs and the amount of methane gas produced. [Explanation of symbols]

[0098] 10 Dairy farmer management server 12 Cow 12A lumens 14 Methane gas concentration management system for cattle 16 Network 18 Customer Management Server 20 Credit Secretariat Management Server (Credit Issuing Organization) 22 Network I / F 24 Individual Management and Control Unit 26 Input / Output Devices 28 Wireless Repeater 30 Individual Management Database 32 Smart pill sensor (concentration sensor) 24A CPU 24B RAM 24C ROM 24D Input / Output Port (I / O) 24E Bus 26A, 26B screen 34 Case 36 Power supply section 38 Sensor Module 40 Detection control section 42 Communications Department 44 Network I / F (receiving part) 46 Customer Management Control Section 48 Management Information Collection Department 50 Calculation processing unit (calculation processing unit) 52 Analysis processing section 54 Effectiveness Information Department 56 Credit Application Department (Application Department) 58 databases 60 Activity Timeline Area 62 Activity Evaluation Area 64 Yesterday's Activity Zone 66 Activity transition area 68 Effect measurement area according to type of food 70 Suggested areas for suitable feed 72 Credit Creation & Credit Earnings Area

Claims

1. A concentration sensor that detects the concentration of methane gas produced by fermentation in the rumen of cows raised at dairy farms and livestock farms; a receiving unit that receives methane gas concentration information detected by the concentration sensor at predetermined intervals; a calculation unit that calculates the amount of methane gas emitted from the cow based on the methane gas concentration information received by the receiving unit and the amount of air intake by the cow; an analysis processing unit that uses the methane gas emission amount to measure the effect according to the type of bait; an application unit that applies for carbon credits based on the effect measurement to a credit issuing organization; and a notification unit that notifies that a portion of the sales profit of the applied carbon credits has been allocated; Rumen management system for cattle.

2. 2. The cow rumen management system of claim 1, wherein the application unit continuously aggregates the cow emissions calculated by the calculation unit and stores them in a database, and applies for carbon credits based on the effectiveness measurement for each specified period based on the information in the database.

3. The amount of airflow of the cow is 2. The rumen management system for cattle according to claim 1, wherein the methane gas emission amount is calculated by integrating the amount of aeration per time, which is correlated with the weight of the cattle, and the number of aerations during the period in which the methane gas emission amount is calculated.

4. the concentration sensor is incorporated as a sensor module into an oral object that can be swallowed by the cow; The oral substance includes a detection control unit that controls a detection process by the concentration sensor; a communication unit that wirelessly transmits information resulting from the detection process performed by the detection control unit to the receiving unit; a power supply unit that operates the concentration sensor, the detection control unit, and the communication unit; 2. The rumen management system for cattle according to claim 1, further comprising:

5. the sensor module includes a pressure sensor; In the detection control unit, A cow's rumen management system as described in claim 4, which determines whether or not aeration has occurred based on pressure changes within the cow's rumen, counts the number of aerations, and wirelessly transmits the result information as one of the pieces of information to the receiving unit via the communication unit.

Images