Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Glen Rains"'
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 3312-3326 (2024)
With recent advances in spray technology and rising interest in site-specific applications, it is imperative to assess the performance of the latest application technologies to ensure effective pesticide applications. Thus, a study was conducted to c
Externí odkaz:
https://doaj.org/article/f0284ac25c9f4f9892b5f62e80f4d5ec
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
The use of Unmanned Aerial Application Systems (UAAS) has increased rapidly in agriculture in recent years. Information regarding their spray performance, as influenced by operational parameters, is important to understand for their effective utiliza
Externí odkaz:
https://doaj.org/article/ffd51fd84778420988ca1f263dd0205f
Publikováno v:
AgriEngineering, Vol 5, Iss 1, Pp 506-519 (2023)
Ground speed variations are common and unavoidable during pesticide applications with agricultural sprayers. Field tests were conducted to evaluate the effect of varying ground speeds on spray deposition and quality with a commercial agricultural boo
Externí odkaz:
https://doaj.org/article/a1c33960bd404698b6241742bcd25a35
Publikováno v:
AgriEngineering, Vol 3, Iss 2, Pp 323-338 (2021)
US cotton producers are motivated to optimize planter performance to ensure timely and uniform stand establishment early in the season, especially when planting in sub-optimal field conditions. Field studies were conducted in 2017, 2018 and 2019 to e
Externí odkaz:
https://doaj.org/article/ed1364ba2b2c4b9abdf8cf14aa3a7e6d
Autor:
Edward Barnes, Gaylon Morgan, Kater Hake, Jon Devine, Ryan Kurtz, Gregory Ibendahl, Ajay Sharda, Glen Rains, John Snider, Joe Mari Maja, J. Alex Thomasson, Yuzhen Lu, Hussein Gharakhani, James Griffin, Emi Kimura, Robert Hardin, Tyson Raper, Sierra Young, Kadeghe Fue, Mathew Pelletier, John Wanjura, Greg Holt
Publikováno v:
AgriEngineering, Vol 3, Iss 2, Pp 339-362 (2021)
Automation continues to play a greater role in agricultural production with commercial systems now available for machine vision identification of weeds and other pests, autonomous weed control, and robotic harvesters for fruits and vegetables. The gr
Externí odkaz:
https://doaj.org/article/01c9357e6d664cf3bf5ded7c51f12c76
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Weeds are a persistent problem on sod farms, and herbicides to control different weed species are one of the largest chemical inputs. Recent advances in unmanned aerial systems (UAS) and artificial intelligence provide opportunities for weed mapping
Externí odkaz:
https://doaj.org/article/daf9bf860603469f842428ae02c0ee6f
Publikováno v:
Agronomy, Vol 10, Iss 8, p 1137 (2020)
Cotton harvesting is performed by using expensive combine harvesters which makes it difficult for small to medium-size cotton farmers to grow cotton economically. Advances in robotics have provided an opportunity to harvest cotton using small and rob
Externí odkaz:
https://doaj.org/article/36b4d1aa77b648eda867d1cc7e263e48
Publikováno v:
Sensors, Vol 20, Iss 16, p 4412 (2020)
This study proposes an algorithm that controls an autonomous, multi-purpose, center-articulated hydrostatic transmission rover to navigate along crop rows. This multi-purpose rover (MPR) is being developed to harvest undefoliated cotton to expand the
Externí odkaz:
https://doaj.org/article/e0d21212d85e42278c60531b1bfd9c06
Autor:
Dawn Olson, Glen Rains
Publikováno v:
Biosensors, Vol 4, Iss 2, Pp 150-160 (2014)
Screening cargo for illicit substances is in need of rapid high-throughput inspection systems that accurately identify suspicious cargo. Here we investigate the ability of a parasitic wasp, Microplitis croceipes to detect and respond to methyl benzoa
Externí odkaz:
https://doaj.org/article/a86d000b42824413a71bec0e99045972
Publikováno v:
IFAC-PapersOnLine. 55:153-158