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.
Nov 10, 2015¡2015 ASABE / IA Irrigation Symposium: Emerging Technologies for Sustainable Irrigation - A Tribute to the Career of Terry Howell, Sr. Conference Proceedings
Abstract. Modern flow metering technology frequently emphasizes the exploitation of ultrasonics, communications, and other electronic-based systems. Yet, there are thousands of irrigation measurement locations that are poorly served by existing devices. Even the more sophisticated developments are limited, for indeed, neither one-size nor one-method fits all. Discussed are hydraulic principles and flow measurement methodologies that are economical, convenient, and accurate. Some are common knowledge and some not-so-common, but all contribute to managing our water-resources. Some improvements in older techniques are often supported by improvements in communications and computer software. Improved broader understanding of hydraulics contributes to convenient flume and weir zero registration, stilling well design modifications, and accurate sediment-sampler design methods. The sampler concepts can also be applied to sprinkler-nozzle testing and to rain-gage accuracy. Additionally, weed-proofing of propeller meters and cone meters without weed screening is discussed.