The present invention generally relates to methods and systems for tracking livestock through the production process. More specifically, embodiments of the present invention provide for a relatively simple and quick way of tracing the origins of meat products.
During commercial meat production, a beef carcass is subjected to a number of different procedures. The animal is first slaughtered, the hide is removed from the carcass, and the carcass is washed. The carcass may then be contacted with hot water and/or steamed pasteurized, and the carcass may also be subjected to one or more electrical stimulation processes. During commercial meat production, the carcass may be attached to a trolley or shackle at different points in the meat processing line. The carcass then travels along the meat processing line where it is subjected to a number of processes, including those identified above, as well as weighing of the carcass and removal of various portions of the carcass. The carcasses are also inspected at a number of locations along the meat processing line, where certain information regarding carcasses may be collected and recorded by the inspectors and others.
During commercial meat production, it is common to track and identify meat carcasses while they are on the meat production line. Carcasses are tracked for a variety of reasons, including monitoring the efficiency of the meat production facility and to identify and monitor carcasses to ensure that meat has been safely handled and processed. In addition, carcasses may be tracked during meat production so that certain information may be accumulated and maintained while the carcass is in the meat production facility. This information may include the weight of the carcass, the specific type of animal from which the carcass was derived, data about the source of the animal (e.g., breeder, ranch location, etc.), and a variety of other information that may be used to track the carcass. This information may be used for a variety of purposes, including ensuring the meat has been properly aged, aiding and sorting carcasses before they are broken down into meat products for packaging, and tracking carcass information back to the producer of the animal or tracing carcass information from the farm to the packaged meat. In addition, information about carcasses that impact the price of meat, such as quality and cutability, may be collected at different locations in the plant.
Meat producers have therefore instituted tracking systems in meat processing plants. A unique identifier for each carcass that enters the meat processing line is used such that the carcass may be tracked and it can be verified that each carcass has been subjected to each procedure on the meat processing line (e.g., steam pasteurization, washing, trimming, electrical stimulation, and so on).
Furthermore, in response to mad cow disease outbreaks, the United States Government has been pushing for a “trace back” system that allows for a final meat product to be traced back to its lot of origin. Under this initiative, 169,000 producers have volunteered to receive a premises ID number, unique to the lot or origin of an animal. The USDA hopes to begin to issue ID numbers for animals within each lot. Timetables call for tracking of livestock shipments to begin as early as 2009. The idea of having a unique identification number for each lot and then for each animal produced within a given lot provides a way of tracing back any meat product to its origin. However, such a system has several fallbacks. Namely, the management of a database that contains unique identification members for every lot and then maintaining identification numbers for every animal within each lot can become computationally expensive. Furthermore, the management of such a system may become monetarily expensive as people are required to maintain and operate such a database. Another problem with the proposed idea is that in order for such a system to work each animal's identification number must be maintained and registered along at each step in the process. Therefore, redundant information has to be maintained for a particular animal depending on the number of steps that it goes through. For example, if a carcass were subjected to twenty separate processes before it becomes a final product, each process would have to register that identification number. As each part of the animal goes to a different process, the information for each portion of the animal must be saved in the database as well. Again, this requires a large amount of data storage power and management of that system to ensure easy and accurate traceability of an end product back to its origin lot. Also, the proposed solution will not be available for quite some time and the implementation of such a system may be costly for producers and sellers alike.
Another problem with typical meat production processes is that the quality of an animal is typically assigned based on an analysis of the fifth ribeye. Depending upon certain characteristics of the ribeye, the animal will receive a grade. For instance, a high quality ribeye may result in the animal receiving a grade of prime, choice, or select based upon the amount of marbling, size, and sortation of the meat. There are many parts of an animal that may be better than other parts. For example, an animal may have a prime ribeye but the other portions of the animal may only be average at best. However, because the ribeye of the animal was scored as prime, the rest of the animal will receive the same score. This may lead to a misleading score of other portions of the animal. Alternatively, an animal that has a less than prime grade ribeye will receive less than prime ratings for the rest of the portions coming from that animal. There may be some portions of animals that have an equal quality, regardless of the grade of each animal's ribeye.
What is desired is an easy and effective animal and carcass tracking system that provides, among other things, for the quick traceability of an end product back to its origin.
Methods and systems for tracking livestock during and after the production process are provided. Although well suited for use in bovine production, advantages offered by the present invention may be realized in the production of all types of animals including but not being limited to, bovine, porcine, and ovine animals as well as bison, poultry, and fish. Additionally, other production processes not related to animals may also benefit from embodiments of the present invention where tracking of inventory (e.g., other types of food or consumer products) throughout the production process is desired.
In accordance with one embodiment of the present invention, a system for managing and tracking a carcass is provided. In one embodiment, the system comprises a central processor that includes a tracking member, a database, and a meat production facility. The tracking member of the central processor is operable to receive information related to a carcass at one or more points in the production facility. Additionally, the tracking member is operable to determine a window of traceability during at least one of the fabrication process, the chilling process, the slaughter processes, and the preharvest process. The window of traceability may be based on ergonomic studies, rate of travel, quality assurance processes and any other available information that may lead to an amount of time required for a carcass or meat product to travel through the production process.
In accordance with another embodiment of the present invention, a method of tracing a meat product back to its origin is provided. The method comprises the steps of receiving a request for the origin of an end product, receiving and inputting label/identification information from the end product, determining a product fabrication time and/or fabrication window specific to that product, and determining the number of carcasses on the fabrication floor during that determined fabrication window. The method may further include determining carcass IDs for each determined carcass on the fabrication floor during that determined window and cross-referencing the carcass IDs to an animal. Once an animal or set of potential animals have been identified, the origins of animal lots may be determined and provided to a customer by generating a report.
The origin report may include information relating to a carcass identification number, a lot identification number, a kill date, fabrication time in hours, minutes and/or seconds including the date fabrication occurs, the number of potential carcasses (or portions thereof) in a box or cart, the number of potential animals (or portions thereof) in the box or cart that such carcasses were derived from, number of potential lots in the box or cart, and the animal feed lots of origin.
In accordance with another embodiment of the present invention, a device for tracing the origins of a meat product is provided. The device comprises an input for receiving at least end product information and a tracking member. The tracking member is operable to utilize the information received at the input and determine at least a potential production window of the identified carcass. The tracking member may also be further operable to determine a tracking window, a traceability window and may use the tracking window to determine the origin of an end product.
As used herein, an animal is a whole animal that has not been completely processed down to an end product. A carcass is at least a part of an animal, and therefore a number of carcasses may be associated with a single animal. A number of animals may be associated with a single lot. A lot of origin may correspond to a producer, feedlot, production lot, incoming lot, and so on.
One aspect of the present invention is to provide a system that can trace a product, either forwards or backwards, from a single point, throughout most, if not the entire, production (e.g. fabrication) process. This enables a questionable product to be recalled almost immediately before additional resources are expended to process a defective food product (e.g. a bad piece of meat). This also assists in quality assurance of the final products and thus higher customer satisfaction. By using embodiments of the present invention, a questionable piece of meat may be recalled/withdrawn from the production process within a time frame of about two hours, preferably in less than about 90 minutes, and most preferably within 50 minutes of detection.
Another aspect of the present invention is to provide improved sorting of carcasses throughout the production process. Improved sorting of carcasses, in turn, leads to subprimal maximizing. As can be appreciated, maximizing the tenderness of subprimal cuts of meat may lead to more consistent meat products, and improved customer satisfaction.
A further aspect of the present invention is to provide improved demand planning matched to carcass inventory. This can help to increase the efficiency of the production process and the entire supply chain because demand forecasting can help prepare downstream activities for increases and/or decreases in production before such increases and decreases occur.
Still another aspect of the present invention is to provide various producers and suppliers with valuable information that can be used for internal improvements or for sale back to suppliers. For example, as information is gathered and recorded for a particular animal, carcass, or subprimal portion of a carcass, that information may be used to improve supplies of future animals. Consider a supplier that has been paying a premium for high grade feed or paying for animal health supplies. If that supplier (or animal health product supplier) receives accurate information relating to results of the premiums that have been paid, then the supplier will be able to determine if the premiums paid are worthwhile. Additionally, the producer that is purchasing animals from the supplier will be able to more accurately determine what suppliers are supplying higher quality animals more consistently. All of these factors can lead to improved customer satisfaction.
Moreover, many companies focus on supplying dietary supplements, pharmaceuticals and the like, to animals before they are purchased. These companies usually claim that their product will help the animals be healthier and thus more valuable when they are purchased by a meat production facility. These types of companies may also be interested in receiving feedback related to various portions of the animals. For example, a company that supplies supplements aimed at reducing the number of organ abnormalities may be interested in knowing how many organ abnormalities were present in a particular lot that was treated with their product and how many organ abnormalities were present in another lot that did not receive their product. Many of these companies pay individuals non-trivial amounts of money to gather this sort of information. Using at least some embodiments of the present invention, a supplement and/or drug supplier can purchase information relating to certain portions of an animal that was treated with their product. This information can be, for example, gathered automatically and/or continuously and thus can be provided back to the supplier much more quickly and in more volume than could be realized in the past.
Yet another aspect of the present invention is to provide a system that is compliant with government regulations and can be easily updated and expanded to be in compliance with new government regulations. As new laws are passed that potentially restrict food, and particularly meat, production processes, it is important for producers to know that they can change as the rules change without requiring too many costs. Embodiments of the present invention provide for a relatively easily scalable and upgradeable system.
Still a further aspect of the present invention is to provide a system and method that can be used to accurately grade each subprimal portion of a carcass based upon the quality of that particular subprimal. Rather than grading an entire animal based on the ribeye section, each subprimal is analyzed and graded based on its own merit, not solely on the merit of the ribeye. This way the customer does not pay excessive prices for an over-graded product and the producer does not forego potential revenue for an under-graded product. Thus, one aspect of the present invention relates to obtaining and using at least two images of meat food products from one animal to determine the health and/or quality of such animal or food product. This helps to create more value for both the customer and the producer because each product (or at least two products deprived from any given animal) that is produced is given an accurate grade.
These and other advantages will be apparent from the disclosure of the invention(s) contained herein. The above-described embodiments and configurations are neither complete nor exhaustive. As will be appreciated, other embodiments of the invention are possible using, alone or in combination, one or more of the features set forth above or described in detail below.
Referring initially to
Animals arriving at the preharvest area 104 from their respective lots 102 are assigned a lot number, corresponding to the lot which they were delivered with. Other information regarding the lot is also provided. For example, the number of animals in a particular lot 102, the sex of the animals in the lot 102, the feedlot of origin corresponding to the given lot 102, the day of slaughter, and other information may be recorded at the preharvest area 104. The production and tracking system 100 further comprises a central processor 124 comprising a tracking member 128 and a database 132. The determined information in the preharvest area 104 is sent to the central processor 124 via interface 136. The central processor then handles the information accordingly based on the required amount of information needed at any given step along the production process, and stores that information in a suitable format in database 132. The interface 136 may be a bidirectional interface allowing communications to/from the central processor 124 and various components of the meat production system 100. Alternatively, the interface 136 may be a unidirectional interface that simply transfers information from any one of given areas to the central processor 124.
In production, the animals are taken from the preharvest area 104 to the slaughter area 108 where they are slaughtered. In the slaughter area 108, the hide of the animal is removed from the carcass and the carcass in washed. The carcass may also be steamed pasteurized, receive a euhygenic bacteria treatment, and/or be subjected to an electrical stimulation process. In the slaughter area 108, carcasses are cross-referenced with animal ear tags otherwise known as a head tag system, which maps every carcass to an individual animal. Ear tag and head tag are paired, collected, and recorded at the slaughter area 108. The information that is recorded in the slaughter area 108 is again sent to the central processor 124 where it is accordingly processed and then saved in database 132 in the appropriate format.
Also in the slaughter area 108, a carcass crosses a scale where the carcass is weighed and assigned a unique carcass identification number. The carcass identification number references the animal number and the corresponding lot number. The unique carcass identification number may also contain additional data including the kill date, the processing shift, and the hot carcass weight per side. Typically an animal is split into two sides therefore having two carcasses correspond to a single animal. As noted above, this unique carcass identification number is also sent from the slaughter area 108 to the central processor 124 for storage in the database 132.
After the animal has passed through the slaughter area 108, the corresponding carcasses are sent into the chilling area 112 where they are suitably chilled for a predetermined amount of time. After a carcass has been chilled for the requisite amount of time, it is sent into the fabrication area 116, where it is again weighed. The weight is logged at the transfer scale between the chilling area 112 and the fabrication area 116 and the chilled carcass weight typically per side is recorded and sent to the central processor 124. Additional information including, but not limited to, time of processing, shift that the carcass was processed at the transfer scale, animal identification number, and corresponding lot number may be saved and sent to central processor 124 for storage in the database 132 as well.
In the fabrication area 116 the carcass is separated into different parts. For example, one beef carcass may be split into a butt section, a chuck roll section, a strip section, a top round section, a bone-in-rib product, or any other suitable meat product that can be derived from the carcass. Each product class has a processing time associated with it. Quality assurance, ergonomic studies, time and travel across fabrication floor, and any other information that can be used to determine the amount of time it takes for a carcass to travel through the fabrication area 116. This processing time typically corresponds to a window of traceability 300, as will be described in further detail later. Each window of traceability 300 can be traced to a carcass identification number, lot number, and feed lot of origin. This window of traceability 300 may be saved in the database by transferring the information from the fabrication area 116 to the central processor 124 where it is saved in the database 132, though this is not required as it is commonly known how long a particular product takes to be produced in the given fabrication process.
Once the carcass has been properly processed into a final product, it is sent from the fabrication area to the packaging and shipping area 120 where it is packaged and boxed, and each box is labeled with information. The box information may include product code corresponding to the type of product that is within the box, product serial number, time of production, production shift, and/or destination. The final boxed or packaged product is then sent from the packaging and shipping area 120 to either a retailer or an end customer.
Referring now to
In the slaughter area 108 the carcass is cross-referenced using a head tag system linking the individual animals identification number to the lot number (step 216). Thereafter, an Angus determination is made and if applicable, the carcass is stamped with an “A” as having a high grade of meat (step 220). In step 224, the carcass is sent to the gut table where a loss report is generated to determine how healthy the animal was. If, during the viscera test, it is determined that the animal's health is questionable, then all carcasses associated with that animal are recalled and tested further to ensure the quality of the meat.
At the gut table, an additional step may be performed where the organs of the given carcass are scanned. When the organs are removed from the carcass, they are typically placed on a conveyer belt or the like. As can be seen in
Once the organ is within the area of interest 522 the image gathering means 520 captures an image of the organ, which is then sent to the processor 124. The processor 124 determines what animal and/or lot the organ is associated with and creates a pointer between the subject image of the organ and the animal/lot that the organ is associated with. The pointer may be a memory address of the data for the animal/lot. The processor 124 may alternatively stamp the image with the corresponding animal/lot identification number/name such that anyone that looks at the image knows what animal the organ came from and subsequently what lot the animal originated from. The processor 124 then sends the image to the database 132 for storage.
Referring now to
The image shown in
The image of the organ shown in
There are a number of ways to indicate the grade that a particular organ has received. As discussed above one scheme for indicating the grade of a particular organ corresponds to how many stamps the organ receives. The more stamps the organ has received, the lesser the quality of the organ. As can be appreciated by one of skill in the art, multiple stamps may indicate that the organ has a higher quality than another organ that has fewer stamps.
As noted above, the images of the organs are sent to the central processor 124 where they are analyzed. Typically the processor 124 searches for and counts the number of stamps 604 that appear in the image and registers the grade of the organ 512 based on the number of stamps 604 that it observes. Alternatively, the processor 124 may not rely on stamps 604 and could instead count the number of abnormalities 608 that exist on the organ 512. Using certain image processing techniques the darker values of the pixels associated with abnormalities could be counted and if the number of abnormally valued pixels (e.g., pixels that have a darker color than their surrounding pixels) exceeds a certain threshold, then the quality of the organ can be downgraded. In order to identify abnormalities and/or the stamps applied by the grader, the processor 124 is operable to scan the image and determine the value of each pixel. Typically, a darker pixel is given a higher intensity value and a lighter pixel is given a lower intensity score. The processor 124 compares the intensity values of each pixel and those immediately next to the pixel. When the processor 124 identifies a pixel that has one or more pixels next to it with a substantially different intensity value, then the processor 124 marks that pixel as a potential abnormality and/or stamp. The processor 124 then tries to determine if a number of marked pixels are in a group. If there are a number of marked pixels in a group, then the processor 124 can mark the group as a potential abnormality and/or stamp. The size and shape of the group is analyzed to further determine whether the group is an abnormality or a stamp. The number of abnormalities or stamps are then counted to determine what grade the organ was given or what grade it should be given. Once the processor 124 determines the grade then the grade is associated with the lot and/or animal that the organ originated from. This valuable information may be stored in the database 132 and sent to the supplier of the lot for analysis of the quality of the lot.
Again each organ is associated with an animal and therefore one or more carcasses. During the organ scan an image gathering means 520, which is preferably a digital color camera, is used to scan each organ as it passes over the gut table. By scanning the organ with an image gathering means 520, abnormalities may be identified be analyzing the image obtained. If abnormalities are discovered, the carcass(es) associated with that organ could be recalled immediately prior to any additional production on that meat. A higher number of organ abnormalities may indicate that the animal was not a healthy animal and therefore may not be able to meet suitable quality standards set forth. If, during organ scanning, it is determined that the animal was unhealthy, the carcasses associated with that organ are recalled and further quality testing is performed to ensure that the carcasses are suitable for consumption.
Referring to
As the organ 512 passes into the area of interest, an image of the organ 512 is captured by an image gathering means 520 (step 716). The image is transmitted to the processor 124 and associated (e.g., stored in the database with images of other organs from the same animal/lot or stamped with animal/lot information) with an animal/lot (step 720). Then in step 724 the processor 124 analyzes the image to determine how many, and possibly what kind of, markings, abnormalities, and/or stamps exist on the organ 512(step 724). Based on this analysis, the grade of the organ 512 is determined by processor 124 and stored with the rest of the pertinent information relating to image and/or the animal/lot associated with the image.
In step 732, it is determined whether the organ 512 was given the top grade. In the event that the organ 512 has received a top grade, then the variable corresponding to the top grade count for a given lot is incremented by one from its previous value, which would be zero for the first organ (step 736). However, if the organ 512 was not given the top grade then it is determined if the organ 512 was given the second highest grade (step 740). If the organ 512 was given the second highest grade, then the variable corresponding to the second highest grade count is incremented by one from its previous value (step 744). If the organ was not given the second highest grade then the lowest grade count is incremented by one from its previous value (step 748). For purposes of illustration only three grades have been described, but it is possible to implement embodiments of the present invention where numerous grades exist for a particular meat product. Each grade would have a corresponding variable dedicated to keeping track of the number of organs that have received that grade. Once the variable associated with the grade of the organ has been incremented, it is determined if there are any additional organs that need to be analyzed (step 752). If there are more organs that have to be scanned, then the method returns to step 708.
Once a suitable number of organs have been analyzed (e.g., all of the organs from animals corresponding to a particular lot), then the grade counts of each variable are associated with a lot (step 756). In a preferred embodiment, when an organ associated with a new lot is scanned, then the value for each variable of each grade count is stored with other lot information and the variables are reset to begin counting for the new lot. After a suitable number of organs have been scanned and the grade counts of the scanned organs are stored along with the other lot information, the grade counts and any other pertinent information is forwarded to the supplier of the lot (step 760). This provides easily verifiable and accurate feedback to the lot supplier about the quality of his/her lot. Additionally, the information can be sent to other suppliers. For example, organ information may be transmitted to a company that supplies ranchers with medicine that is supposed to decrease the number of organ abnormalities. If the number of low quality organs is substantially lower than other lots that did not use the medicine supplied, then the company supplying the medicine can have additional proof of their product's efficacy and can therefore attempt to charge a premium for their medicine. As can be appreciated, the information from scanning organs of interest 512 may be valuable to a number of other entities involved in the meat production supply chain.
Referring now to
Based on the feedback received by both the images and the grade count for each image, the supplier can determine how best to proceed with raising animals. In step 816, it is determined if the images and grade count correspond to a satisfactory level. For instance, if the number of lowest quality grades received is larger than a predetermined percentage of the entire lot, then the lot may not have been raised to a satisfactory level. In the event that the lot did meet the minimum requirements, then the supplier may decide to maintain his/her process (step 820). However, if the feedback shows that the supplier is raising lower quality animals then the supplier may decide to alter the process they use to raise their cattle. For example, if the supplier had not previously been purchasing medicine for maintaining healthy animals, then the supplier may choose to begin purchasing medicine that helps improve his/her animals' health. Additionally, the information can be provided directly to the pharmaceutical supplier so that they can determine if their product is working effectively. If the product is working effectively, then the pharmaceutical supplier may be able to ask a premium for their product. Conversely, if the feedback indicates that their product does not work, then the pharmaceutical supplier may need to redesign their particular product.
After the organ has been scanned and other necessary tests have been performed, the carcass is sent to a hot scale (step 228). At the hot scale, each carcass is given a unique identification number linked to the head tag. This references the lot number, contains additional data including the kill date processing shift, hot carcass weight per side and so on. That information is then transferred to the central processor 124 for storage in database 132. Thereafter, in step 232, each carcass is analyzed with another means for gathering an image, such as a hot camera, that enables the user to make an initial determination or prediction of the meat's quality. Examples of what can be determined by utilizing this image gathering means include, but are not limited to, a confirmation score, a muscularity index, primal measurement, prediction of subsequent primal measurements, and correlation with subprimal. Thereafter the carcass is sent to the hot sort in step 236.
Once the slaughter process has been completed the carcass is sent into the chilling area 112 where initially a third image gathering means, such as a cold camera, is used to determine the vision, the rib-eye size, color, fat cover and marbling of each carcass (step 240). This information is used by a grader to determine yield grade, quality grade and so on (step 244). Thereafter, the tagger tags the carcass and captures data related to that carcass. That data may include data that was recovered from the cold camera, the grader or any other previously performed step. The information is then sent to the central processor 124 for storage in the database 132.
In step 252, a grader certification is performed meaning that the original grade is confirmed by a second party. In step 256, grade input for payment is performed. This typically involves determining the actual amount of money that may be received for the given grade. The carcass is then sent to a sort panel to be stored on cooler rails in step 260. Thereafter, the carcass is sorted and stored for a predetermined amount of time in step 264. During cooler sort, the location of the carcass is known and may be tied to any of the previously mentioned information. This enables the production facility to quickly locate the carcass in the cooler if it is determined that the given carcass needs to be recalled and/or retrieved for any purpose.
After the carcass has stayed in the cooler for a predetermined amount of time, the carcass is sent from the chilling area 112 to the fabrication area 116. As the carcass passes between the chilling area 112 and the fabrication area 116, it is weighed at a cold fabrication scale. Again at the cold fabrication scale, the carcass tag information is captured and stored and sent to the central processor 124 and stored in the database 132. Additionally, a DNA sample may be taken from the carcass as it passes across the cold fabrication scale. This may ensure a higher level of accuracy in determining and tracing the origins of a carcass. Thereafter, a primal drop of two tables is performed in step 272. Each product may be sorted and produced according to known methods.
Referring now to
Referring back to
Referring now to
Once the label information is input, the product specific fabrication time is determined in step 416. Using the product specific fabrication time, a corresponding 10 fabrication window or window of traceability 300 is determined in step 420. The window of traceability 300 may be used to help determine the number of carcasses that were on the fabrication floor during the determined fabrication window (step 424).
Once the number of carcasses on the fabrication floor during a given window of traceability 300 is determined, the tracking member 128 may be able to determine the carcass ID for each determined carcass on the fabrication floor in step 428 utilizing information from the database 132. The tracking member 128 may then cross-reference the carcass IDs using the head tag system. The cross-referencing performed by the tracking member 128 in step 432 then allows the number of animal lots to be determined in step 436. Specifically, the tracking member 128 determines the member of animal lots on the fabrication floor during the determined window of traceability 300. That information can then be used to determine the origin of each of those animal lots in step 440. Based on this information, the tracking member 128 may then be able to generate a report for the requester of the origin information. The report may include, but is not limited to, the carcass ID, lot identification number, kill date, fabrication time, number of potential carcasses in the box, number of potential animals in the box, potential number of kill lots in the box, and the corresponding animal feed lot of each kill lot. This information is generally based on the window of traceability 300 and the corresponding information that was stored in the database 132.
This management and tracking system 100 allows for backwards and forwards tracking of a carcass/animal from any point during the production, fabrication and consumption process. Any carcass or animal may be recalled or withdrawn within a time frame of about two hours during the production process.
The data management and tracking system may also be used to produce reports and sell data back to producers by lot and/or by individual animals within that lot. Also various steps, for example, the organ-scanning step, may be correlated with other steps and information related to that test is maintained in the database 132 along with the corresponding carcass/animal. That data may be sold back to animal health suppliers to allow them to determine how certain animals and/or lots are affected by a particular type of treatment for organs and/or any other health concerns.
The system is also compliant with USDA and FDA regulations therefore making it safe and reliable to the consumers. The process may also improve sortation of the carcass which in turn leads to subprimal maximization. Additionally, because the window of traceability 300 can be determined throughout the production process, information relating to the fabrication of a given product type does not necessarily need to be stored in the database 132 for each carcass. This makes it easier to maintain a database 132 and track carcasses during the fabrication and production process.
The present invention, in various embodiments, includes components, methods, processes, systems and/or apparatus substantially as depicted and described herein, including various embodiments, subcombinations, and subsets thereof. Those of skill in the art will understand how to make and use the present invention after understanding the present disclosure. The present invention, in various embodiments, includes providing devices and processes in the absence of items not depicted and/or described herein or in various embodiments hereof, including in the absence of such items as may have been used in previous devices or processes, e.g., for improving performance, achieving ease and\or reducing cost of implementation.
The foregoing discussion of the invention has been presented for purposes of illustration and description. The foregoing is not intended to limit the invention to the form or forms disclosed herein. In the foregoing Detailed Description for example, various features of the invention are grouped together in one or more embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the following claims are hereby incorporated into this Detailed Description, with each claim standing on its own as a separate preferred embodiment of the invention.
Moreover though the description of the invention has included description of one or more embodiments and certain variations and modifications, other variations and modifications are within the scope of the invention, e.g., as may be within the skill and knowledge of those in the art, after understanding the present disclosure. It is intended to obtain rights which include alternative embodiments to the extent permitted, including alternate, interchangeable and/or equivalent structures, functions, ranges or steps to those claimed, whether or not such alternate, interchangeable and/or equivalent structures, functions, ranges or steps are disclosed herein, and without intending to publicly dedicate any patentable subject matter.
The present application claims the benefits of U.S. Provisional Application Ser. No. 60/789,013 filed on Apr. 3, 2006, entitled “Method and System for Tracking and Managing Livestock Through the Production Process,” which is incorporated herein in its entirety by this reference.
Number | Name | Date | Kind |
---|---|---|---|
337334 | Jones et al. | Mar 1886 | A |
1485755 | Alcock | Mar 1924 | A |
1900573 | McArthur | Mar 1933 | A |
2544681 | Harsham et al. | Mar 1951 | A |
2544724 | Rentschler | Mar 1951 | A |
2621362 | Cosden | Oct 1952 | A |
2870018 | Person et al. | Jan 1959 | A |
2879539 | Cervin | Mar 1959 | A |
2979411 | Pircon | Apr 1961 | A |
3314103 | Rains | Apr 1967 | A |
3537130 | McDonnell | Nov 1970 | A |
3626550 | Troy | Dec 1971 | A |
3657770 | Wallace | Apr 1972 | A |
3736622 | Wali | Jun 1973 | A |
3863294 | Barbee | Feb 1975 | A |
4023574 | Nemec | May 1977 | A |
4221021 | Swilley | Sep 1980 | A |
4307490 | Watkins et al. | Dec 1981 | A |
4340993 | Cook | Jul 1982 | A |
4358872 | VanZandt | Nov 1982 | A |
4495676 | Hartmetz | Jan 1985 | A |
4561149 | Nijhuis | Dec 1985 | A |
4675947 | Clatfelter et al. | Jun 1987 | A |
4733971 | Pratt | Mar 1988 | A |
4774741 | Bernharadt et al. | Oct 1988 | A |
4815042 | Pratt | Mar 1989 | A |
4827727 | Caracciola | May 1989 | A |
4860403 | Webb et al. | Aug 1989 | A |
4889433 | Pratt | Dec 1989 | A |
4910024 | Pratt | Mar 1990 | A |
4931933 | Chen et al. | Jun 1990 | A |
5007336 | Bernhardt et al. | Apr 1991 | A |
5008821 | Pratt et al. | Apr 1991 | A |
5167569 | Davis | Dec 1992 | A |
5219244 | Skeels | Jun 1993 | A |
5282940 | Griffis et al. | Feb 1994 | A |
5315505 | Pratt et al. | May 1994 | A |
5340211 | Pratt | Aug 1994 | A |
RE34776 | Pratt | Nov 1994 | E |
5369032 | Pratt | Nov 1994 | A |
5401501 | Pratt | Mar 1995 | A |
5478990 | Montanari et al. | Dec 1995 | A |
5486145 | Dorsthorst et al. | Jan 1996 | A |
5512014 | Burnett | Apr 1996 | A |
5529793 | Garner et al. | Jun 1996 | A |
5534271 | Ware et al. | Jul 1996 | A |
5573002 | Pratt | Nov 1996 | A |
5595066 | Zwanikken et al. | Jan 1997 | A |
5668634 | Newman | Sep 1997 | A |
5673647 | Pratt | Oct 1997 | A |
5704830 | Van Ochten | Jan 1998 | A |
5803906 | Pratt et al. | Sep 1998 | A |
5836880 | Pratt | Nov 1998 | A |
5855507 | Fisher et al. | Jan 1999 | A |
5879732 | Caracciolo, Jr. et al. | Mar 1999 | A |
5888132 | Burnett | Mar 1999 | A |
5899802 | Burnett | May 1999 | A |
5958714 | Gordon et al. | Sep 1999 | A |
6000361 | Pratt | Dec 1999 | A |
6001655 | Spadaro et al. | Dec 1999 | A |
6019674 | Austin | Feb 2000 | A |
6084407 | Ellis | Jul 2000 | A |
6104966 | Haagensen | Aug 2000 | A |
6120367 | Scott et al. | Sep 2000 | A |
6131744 | Pratt | Oct 2000 | A |
6135055 | Pratt | Oct 2000 | A |
6159090 | Thompson | Dec 2000 | A |
6190250 | Volk et al. | Feb 2001 | B1 |
6198834 | Belk et al. | Mar 2001 | B1 |
6200210 | Pratt | Mar 2001 | B1 |
6231435 | Pilger | May 2001 | B1 |
RE37266 | Te Dorsthorst et al. | Jul 2001 | E |
6290592 | Allen et al. | Sep 2001 | B1 |
6318289 | Pratt | Nov 2001 | B1 |
6322436 | Potter et al. | Nov 2001 | B2 |
6342839 | Curkendall | Jan 2002 | B1 |
6364759 | Allen et al. | Apr 2002 | B2 |
6458024 | Potter et al. | Oct 2002 | B1 |
6478667 | Bell et al. | Nov 2002 | B2 |
6516746 | Pratt | Feb 2003 | B2 |
6519954 | Prien et al. | Feb 2003 | B1 |
6546304 | Thorvaldsson et al. | Apr 2003 | B2 |
6547726 | Pratt et al. | Apr 2003 | B2 |
6579236 | Pratt | Jun 2003 | B2 |
6592517 | Pratt et al. | Jul 2003 | B2 |
6712685 | Potter et al. | Mar 2004 | B2 |
6724309 | Grose et al. | Apr 2004 | B2 |
6736272 | Pratt | May 2004 | B2 |
6796892 | Allen et al. | Sep 2004 | B2 |
6859672 | Roberts et al. | Feb 2005 | B2 |
6891961 | Eger et al. | May 2005 | B2 |
6896607 | Potter et al. | May 2005 | B2 |
6912434 | van den Nieuwelaar et al. | Jun 2005 | B2 |
6975223 | Mladen et al. | Dec 2005 | B1 |
6975233 | Grose et al. | Dec 2005 | B2 |
7022005 | Potter et al. | Apr 2006 | B2 |
7063836 | Garner et al. | Jun 2006 | B2 |
7400256 | Knopik et al. | Jul 2008 | B2 |
7440901 | Dlott et al. | Oct 2008 | B1 |
20010031617 | Allen et al. | Oct 2001 | A1 |
20010034201 | Bell et al. | Oct 2001 | A1 |
20020077055 | Allen et al. | Jun 2002 | A1 |
20020182999 | Bell et al. | Dec 2002 | A1 |
20030154729 | Prien et al. | Aug 2003 | A1 |
20030190879 | Bell et al. | Oct 2003 | A1 |
20030198724 | Schaefer et al. | Oct 2003 | A1 |
20040026920 | Meischen | Feb 2004 | A1 |
20040115322 | Osborn | Jun 2004 | A1 |
20050042980 | Allen et al. | Feb 2005 | A1 |
20050049518 | Nel | Mar 2005 | A1 |
20050051109 | Fantin et al. | Mar 2005 | A1 |
20050142997 | Richards | Jun 2005 | A1 |
20050181720 | Osborn | Aug 2005 | A1 |
20050186896 | Nielsen | Aug 2005 | A1 |
20050221746 | Bell et al. | Oct 2005 | A1 |
20050272057 | Abrahamsen et al. | Dec 2005 | A1 |
20050284380 | Montgomery | Dec 2005 | A1 |
20060041408 | McGoogan et al. | Feb 2006 | A1 |
20060041412 | Engelke et al. | Feb 2006 | A1 |
20060041413 | Burghardi et al. | Feb 2006 | A1 |
20060041419 | Newcombe et al. | Feb 2006 | A1 |
20070258625 | Mirtsching | Nov 2007 | A1 |
Number | Date | Country |
---|---|---|
2003272338 | Mar 2004 | AU |
760810 | Dec 2005 | AU |
2372042 | Nov 2000 | CA |
2497726 | Mar 2004 | CA |
0090478 | Oct 1983 | EP |
0353199 | Jan 1990 | EP |
1175151 | Aug 2005 | EP |
2495438 | Jun 1982 | FR |
2519846 | Jul 1983 | FR |
1478258 | Jun 1977 | GB |
2147791 | May 1985 | GB |
8009876 | Jan 1996 | JP |
8023869 | Jan 1996 | JP |
0833182 | May 1981 | SU |
1009382 | Apr 1983 | SU |
1391566 | Apr 1988 | SU |
WO8101641 | Jun 1981 | WO |
WO9819550 | May 1998 | WO |
WO0154509 | Aug 2001 | WO |
WO0195716 | Dec 2001 | WO |
WO0247485 | Jun 2002 | WO |
WO02058474 | Aug 2002 | WO |
WO2004021782 | Mar 2004 | WO |
WO2004085997 | Oct 2004 | WO |
WO2005099466 | Oct 2005 | WO |
Number | Date | Country | |
---|---|---|---|
20070260347 A1 | Nov 2007 | US |
Number | Date | Country | |
---|---|---|---|
60789013 | Apr 2006 | US |