Terry Griffin, Keith D. Harris, Jason K. Ward, Paul Goeringer · 5 authors
Abstract Distributed ledger technology applied to Big Data in agriculture presents challenges and opportunities. Opportunities exist to solve decadesâold farm data management problems. Realâworld examples of applying distributed ledger technology to current farm data problems in cotton include (1) yield monitor data quality assurance, (2) sustainability metrics and resource tracking of cotton lint quality data from ginner back to subfield locations, and (3) increasing supply chain coordination by providing more information to warehouse managers. The culmination of the discussion across three aspects of cotton production data is of interest to farmers, researchers, policy makers, and consumers.
This report provides the technical results of the second dry run transporting mangoes and avocados from Haiti to the US. For both fruits, temperature has been registered from the moment of harvest till arrival at destinations. Also logistical data like planning preparing the test, time needed for each step, and quality of fruits has been analysed, following the procedures as presented in the Standard Operational Procedures for both fruits. The process was organised together with the two new partners Haiti Mango Consortium and Agriledger, both contracted by MCI for the next phase of exporting fruits to the US. After an introduction chapter, technical observations and remarks are provided for both mango and avocado in the next two chapters, with a concluding last chapter afterwards that provides overall analysis, lessons learned and recommendations. Based on the lessons learned the Standard Operation Procedures (SOPs) will be updated. A major change will be that Collection Points will be introduced as transport from tree to truck cannot be controlled by project partners. SOPs will be updated over the coming months June-July 2019.
As users have to manage an increasing number of accounts, they have to balance password security and password usability. As such, many users use insecure passwords resulting in their accounts and data being vulnerable to unauthorized accesses. In this paper, we present Physically Enhanced Authentication Ring, or PEAR, a system that alleviates this problem. We leverage Physically Unclonable Functions (PUF) to create unclonable hardware devices, which users use to authenticate. Using a hardware device, our system uses zero-knowledge proofs, which provide better security than traditional passwords, yet users must only enter a simple PIN. As such, our system is very usable and imposes little to no burden on end users and service providers. We present transaction levels on top of PEAR of as an extension and then discuss some other work that could be done in the future.
Physical Unclonable Functions (PUFs) and Hardware Security