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Alternative elektronische TierkennzeichnungPache, Steffen, Theis, Susanne, Zietzschmann, Steffen, Hagemann, Falk, Berger, Wolfram, Ostertag, Thomas, Hütter, Rüdiger, Schneider, Peter 22 July 2013 (has links) (PDF)
Das neue Tieridentifikationssystem Agro SAW IDENT wurde gemeinsam mit Industriepartnern entwickelt. Den Kern bilden piezoelektrische Kristalle mit aufgedampften Metallstrukturen, die den internationalen Tiercode darstellen. Zum Auslesen des Tiercodes werden akustische Oberflächenwellen (Surface Acoustic Wave = SAW) ohne jegliche Energiequelle genutzt. Die SAW-Codierung und der Charakter der Funkübertragung im Mikrowellenbereich um 2,4 GHz unterscheiden sich grundlegend von der üblichen Tieridentifikation im Niederfrequenzbereich bei 134 kHz. Die Vorteile der passiven SAW-Identifikation liegen in der höheren Lesereichweite bis zu 10 m und der sehr kurzen Identifikationsdauer unter 10 ms bei hoher Erkennungssicherheit. In vier Betrieben wurde an 1.652 Milchkühen die Funktionssicherheit untersucht.
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Electronic animal identification systems at livestock auction markets: perceptions, costs, and benefitsBolte, Kati Jo January 1900 (has links)
Master of Science / Department of Agricultural Economics / Ted C. Schroeder / Electronic animal identification systems are becoming more common in livestock auction
markets because of increased numbers of cattle being electronically identified. More cattle are being individually identified because of increasing enrollment in marketing alliances and
verification programs. Also, the National Animal Identification System (NAIS) has increased
awareness and perhaps use of electronic identification. In this study, individual characteristics of
livestock markets were analyzed to determine how they relate to a livestock market operator's
views, concerns, and knowledge of the NAIS as well as adoption of RFID reading equipment.
Investments in RFID tagging services and RFID reading equipment by livestock markets were
estimated and price premiums associated with RFID tagged and preconditioned cattle were
estimated. Data were from a national survey of livestock auction markets and cattle transaction
data were obtained from three Kansas livestock markets.
Auction markets that indicated they currently plan to add a RFID tagging service are
likely to have more knowledge of the NAIS program standards, how to adopt the NAIS
practices, and the probable costs involved. Managers of facilities that sell a large volume of
livestock annually tend to have a higher level of understanding of how to adopt the NAIS
practices and be more knowledgeable of the NAIS standards than operators of smallvolume
facilities. Managers of markets that have operating RFID reader systems tend to be more
understanding of how to adopt the NAIS practices and of costs associated with adopting the
NAIS. Livestock market managers tend to be highly concerned that adoption of individual
animal identification systems will adversely impact sale speed and tend to view the NAIS as a
threat to their business. Large volume
facilities, facilities that have registered their premises, and
facilities that plan to add a RFID tagging service are more likely to adopt RFID reader systems.
Economies of scale exist in RFID system adoption and RFID tagging services for auction
markets. Preconditioned and RFID tagged cattle brought a significant premium at only one of
three facilities where data were collected.
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Anwendungsfelder der Digitalisierung in der praktischen LandwirtschaftMay, Detlef 15 November 2016 (has links) (PDF)
No description available.
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College students rceptions of the national animal identification systemLong, Jeanie Marie 15 May 2009 (has links)
The purpose of this study was to determine awareness, knowledge, and perceptions of
the National Animal Identification System (NAIS) among college students in the College of
Agriculture and Life Sciences at Texas A&M University. Since the issue of a governmentsponsored
electronic national identification system for livestock is relatively new, many pros and
cons exist regarding increased biosecurity and increased surveillance by the government. While
many adult producer groups have expressed their concerns over the implications of the proposed
identification system, little attention has been focused on future producers—youth and college
students.
This study investigated how college students gathered information about livestock
industry issues from mass media or other resources, and how the students’ awareness and
knowledge of the identification system influenced their perceptions of the NAIS.
The sample population consisted of students enrolled in courses related to animal
agriculture and production during the spring 2007 semester at Texas A&M University. Stratified
random sampling was used to determine participants, and a total of 92 students responded to the
survey. The strata were animal science majors and non-animal science majors, and
upperclassmen and lowerclassmen.
An online, self-administered survey was used to collect data from the participants. The
survey consisted of close-ended and open-ended questions; a pilot study of students with similar majors and classification as the sample established face validity of the instrument. Descriptive
statistics, correlations, and one-way ANOVA were used to examine the data.
Major findings were that as a group, students were somewhat aware of the NAIS, and
were knowledgeable of general NAIS concepts. Students disagreed with the statement that they
are well-informed about the NAIS. Students’ perceptions of the NAIS were positively associated
with their awareness of the NAIS. Livestock leadership experiences (4-H or FFA membership,
livestock show team member, exhibitor experience, and youth livestock organization member)
had positive moderate correlations with NAIS awareness. Livestock exhibitor experience had a
moderate correlation with perception of the NAIS.
University professors, Internet, and family members were preferred information sources.
Opinion leaders’ influence as information sources affected students’ awareness and perceptions
of the NAIS. Cooperative Extension, private organizations, and university professors were all
moderately correlated with students’ awareness of the NAIS. University professors had a
positive, yet low correlation with students’ perceptions of the NAIS.
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Value of animal traceability systems in managing a foot-and-mouth disease outbreak in southwest KansasPendell, Dustin Lester January 1900 (has links)
Doctor of Philosophy / Department of Agricultural Economics / Ted C. Schroeder / Concerns regarding management of animal disease and related perceptions about food safety have escalated substantially in recent years. Terrorist attacks of September 2001, discovery of bovine spongiform encephalopathy in a dairy cow in December 2003 in Washington state and subsequent discoveries of BSE infected animals in Texas in 2005 and Alabama in 2006, and recent worldwide outbreaks of highly contagious animal diseases (i.e., Foot-and-Mouth Disease and Avian Influenza A (H5N1)) have made apparent the need for animal traceability in U.S. livestock production and marketing. In addition, animal identification and trace-back systems are rapidly developing throughout the world increasing international trading standards.
In recent years, increasing numbers of economic analyses of animal diseases have integrated epidemiological models into economic frameworks. However, there are only a few studies that have used this integrated framework to analyze the effects of animal traceability on highly contagious animal diseases.
This study’s goal is to quantify and evaluate the economic impacts of different depths of animal identification/trace-back systems in the event of a hypothetical highly contagious foot-and-mouth disease outbreak that poses a threat to U.S. livestock competitiveness. Specifically, an epidemiological disease spread model is used to evaluate the impact of a foot-and-mouth disease outbreak in southwest Kansas. The information obtained from the disease spread model is then used in conjunction with an economic model to determine the changes in welfare of producers and consumers.
Results obtained from the epidemiological model indicate that as the depth of animal identification in cattle is increased, the number of animals destroyed is reduced as are the associated costs. Also, the length of the outbreak is reduced by approximately two weeks. The economic results suggest that as surveillance is increased, decreases in producer and consumer welfare are smaller. Furthermore, as surveillance is increased, decreases in producer and consumer surplus measures can be reduced by approximately 60 percent.
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Perceptions and attitudes of cow-calf producers toward emerging technologies and policy issues in the beef cattle industryBreiner, Sharon Jene' January 1900 (has links)
Master of Science / Department of Animal Sciences and Industry / Dale A. Blasi / The proposed U.S. National Animal Identification System (US-NAIS) has generated many concerns among beef cattle producers. The goal of the NAIS is to utilize 48-hour traceback in the event of an animal disease outbreak. The traceback would identify all animals that have had contact with the diseased animal, while linking an animal to its premises of origin. According to the Diffusion of Innovation theory, getting a new idea adopted, even when it has clear advantages, is often very difficult. However, by adopting innovations relatively sooner than others in their system, the theory demonstrates marked benefits for innovators and early adopters, as well as a widening of the socioeconomic gap. In this study beef producer demonstrated understanding, acceptance and adaptability to implement the US-NAIS. Participants for the study were selected in the spring of 2006 from a mailing list of cow-calf producers with more than 100 head of cows. BEEF Magazine provided the mailing list and a random sample of 1,000 producers was selected. The results show a knowledge gap between the proposed system and producer understanding. Producers were also divided on support for the proposed system. When ranking their level of support on a scale of 1 to 6, with 1 being strongly supportive and 6 being strongly opposed, 49% of producers showed some level of support and 48% showed some level of opposition, with a mean of 3.53 (s.d. 1.67). Data also highlights a lack of understanding of the regulations and implementation procedures among producers. The results of this study brought considerable insight into the current practices and perceptions of beef cattle producers, and will be used to develop educational materials to improve their understanding of this proposed program.
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Evaluation of ISO 11785 low-frequency radio identification devices and the characterization of electromagnetic interference in practical cattle management scenariosRyan, Sarah Ellen January 1900 (has links)
Master of Science / Department of Animal Sciences and Industry / Dale A. Blasi / Low-frequency (LF) radio frequency identification (RFID) transponders (n = 1,993) representing both full-duplex and half duplex air interface technologies were evaluated. Transponders representing five manufacturers and seven types were evaluated for read distance (RD), resonance frequency (RF) and voltage response (VR). LF RFID transceivers (n = 24) were also evaluated for performance and variance as tested by read distance.
Transponders were sorted into four categories based on RD performance on three transceivers, “Top 25%,” “Middle 50%,” “Bottom 25%,” and “No Read.” These categories were used for evaluation of transponders and transceivers in experiments one and two, respectively.
In experiment one, the mean RF of the “Top 25%” transponders were closer to 134.2 kHz (P < 0.05) within a transponder type (TT). TT and mean RD performance category interacted to affect the VR of transponders (P < 0.05); transponders with lower VR tended to have longer RD within a TT.
In experiment two, sixty transponders from the “Middle 50%” were used to evaluate transceivers. Transceivers represented five manufacturers and five transceivers per manufacturer; one transceiver was eliminated from testing due to mechanical problems. There was a significant interaction (P < 0.0001) for TT and transceiver manufacturer. This indicated that transceiver performance was greatly dependant on TT being interrogated. TT and transceiver manufacturer interacted to affect RD variance (P < 0.05) demonstrating that transceiver RD will vary depending on TT being interrogated.
In the final study, electromagnetic interference (EMI) was evaluated in fourteen livestock auction markets, four feedlots and five cattle abattoirs. The presence of EMI is known to impair the performance of RFID equipment. However, this phenomenon in livestock management settings has not been quantified in the scientific literature. EMI (134.2 + 25 kHz) was observed in all abattoirs. However, the extent and duration of EMI varied depending on individual abattoir. The processing, load and unload areas were evaluated in commercial feedlots. The most EMI was observed in the processing area. Finally, EMI was observed at the sale ring exit at two livestock auction markets. EMI exists in livestock management settings and may negatively impact the performance of LF RFID.
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Alternative elektronische TierkennzeichnungPache, Steffen, Theis, Susanne, Zietzschmann, Steffen, Hagemann, Falk, Berger, Wolfram, Ostertag, Thomas, Hütter, Rüdiger, Schneider, Peter 22 July 2013 (has links)
Das neue Tieridentifikationssystem Agro SAW IDENT wurde gemeinsam mit Industriepartnern entwickelt. Den Kern bilden piezoelektrische Kristalle mit aufgedampften Metallstrukturen, die den internationalen Tiercode darstellen. Zum Auslesen des Tiercodes werden akustische Oberflächenwellen (Surface Acoustic Wave = SAW) ohne jegliche Energiequelle genutzt. Die SAW-Codierung und der Charakter der Funkübertragung im Mikrowellenbereich um 2,4 GHz unterscheiden sich grundlegend von der üblichen Tieridentifikation im Niederfrequenzbereich bei 134 kHz. Die Vorteile der passiven SAW-Identifikation liegen in der höheren Lesereichweite bis zu 10 m und der sehr kurzen Identifikationsdauer unter 10 ms bei hoher Erkennungssicherheit. In vier Betrieben wurde an 1.652 Milchkühen die Funktionssicherheit untersucht.
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Anwendungsfelder der Digitalisierung in der praktischen LandwirtschaftMay, Detlef 15 November 2016 (has links)
No description available.
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Producer level cost analysis of the U.S. National Animal Identification SystemCrosby, Chris January 1900 (has links)
Master of Science / Department of Agricultural Economics / Kevin C. Dhuyvetter / A Microsoft Excel based budget was developed to find the cost of becoming
National Animal Identification Systems (NAIS) compliant in the U.S for beef cow-calf
producers. This budget was turned into a stochastic budget by using different distributions
for five key variables. From these distributions 10,000 observations were simulated using
Latin Hypercube sampling.
From the comprehensive budget, a second, more simple budget was constructed for
obtaining NAIS cost. This Microsoft Excel based model gives beef cow-calf producers an
estimate and a prediction interval associated with the estimated cost of adopting a cattle ID
system that is compliant with the National Animal Identification Systems quickly and
conveniently, requiring only six inputs. Both the comprehensive and the quick budget are
available online. An Ordinary Least Squares regression was estimated using the simulated
observations to find marginal effects associated with key variables.
The driving factor of total cost per head was eID tag price for operations that tag
and eID tag price and chute costs for non-tagging operations. For producers with five or
less animals, it was cheaper to hire third parties to tag animals. From the sample data
generated, smaller operations pay significantly more than larger operations on a per head
basis, as the minimum cost was $2.08 for the larger operations and the maximum cost to
small operations was $17.56. The estimated overall average cost per head for the cow/calf
industry was $6.26, with a standard deviation of $4.12. Costs were on a per breeding
female basis. The Excel spreadsheet budget and model can be downloaded at
http://www.agmanager.info/ for producers who wish to estimate NAIS costs specific to
their operations.
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