Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kadeghe Fue"'
Autor:
Chinmay U. Parab, Canicius Mwitta, Miller Hayes, Jason M. Schmidt, David Riley, Kadeghe Fue, Suchendra Bhandarkar, Glen C. Rains
Publikováno v:
AgriEngineering, Vol 4, Iss 2, Pp 507-522 (2022)
In this study, we have compared YOLOv4, a single-shot detector to Faster-RCNN, a two-shot detector to detect and classify whiteflies on yellow-sticky tape (YST). An IoT remote whitefly monitoring station was developed and placed in a whitefly rearing
Externí odkaz:
https://doaj.org/article/1808611f493743dfbccfd531f313d2b6
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:
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