1 / 16

DEER INDUSTRY NEW ZEALAND

DEER INDUSTRY NEW ZEALAND. More Deer, Heavier, Earlier and Faster. Context. Deer Industry New Zealand Currently implementing the Product Improvement Programme Researchers, Leaders and innovators . Problem Area. 2,800 farms around New Zealand

ron
Download Presentation

DEER INDUSTRY NEW ZEALAND

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. DEER INDUSTRY NEW ZEALAND More Deer, Heavier, Earlier and Faster

  2. Context • Deer Industry New Zealand • Currently implementing the Product Improvement Programme • Researchers, Leaders and innovators

  3. Problem Area • 2,800 farms around New Zealand • 16,000T of venison and 170T of velvet(per annum) • Half of the world’s farmed deer • Export based product • Electronic Identification Tags becoming compulsory

  4. Problem Statement Analyse the cost-benefits across different uses and utilization levels of RFID tags within the NZ Deer Industry

  5. OBJECTIVES • Evaluate the domestic and international regulatory Environment drivers • Evaluate Technology solutions • Segment Farmers into user cases • Evaluate and stylise processors uses and applications of RFID tags • Review and evaluate the cost benefit literature relating to EID implementation and create a NZ cost benefit model • Create a NZ cost benefit model

  6. 1. Evaluate the domestic and international regulatory Environment drivers Key Points: • Legislation (due diligence UK food safety) • Global food safety crises • The changing customer

  7. 2. Evaluate Technology solutions Key Points: • Technology providers • Current technology applications • Current users of the different technology

  8. 3. Segment Farmers into user cases Key Points: • Investigate diverse range of deer farms - current technology uses - farmer mentality - find natural segmentations • Develop case models

  9. 4. Evaluate and stylise processors uses and applications of RFID tags Key Points: • Comparable adoption in other sectors • Translate benefits to deer processor and farmer

  10. 5. Review and evaluate the cost benefit literature relating to EID implementation Key Points: • Evaluate current research • Extract applicable cost and benefit quantifying techniques

  11. 6. Create a NZ cost benefit model Key Points: • Consolidate information into financial understanding • Create appropriate cost benefit model for each case model

  12. Planned Project Schedule

  13. Acknowledge origin of information sourced to avoid plagiarism • Acknowledge Deer Industry NZ and their input into the report, along with any other helpful participants • We must only include valid data in our report • We need to work towards maintaining a neutral opinion when addressing issues, and base our report on data that we find, as opposed to what we felt we should have found. • We need to take care when working with confidential information • We will need to work towards the elimination of interview bias Ethical Issues that we must consider

  14. Methodological Issues It may be challenging to evaluate a wide range of farmers, outside the locality due to: Geographical location Farmers not willing to participate Validity of qualitative results for determining both the tangible and intangible cost and benefits The short time frame may put as constraint on the research carried out. We are not highly experienced researchers, interviewers, nor have a large understanding of the deer industry. Financial aspects

  15. Methodological Issues cont. • It may be challenging to offer findings without the presence of bias as there are too many variables to consider • Cost based benefits will differ between farmers and their different situation, therefore we cannot generalise the benefits of the EID across all farmers.

More Related