Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kadeghe G. Fue"'
Autor:
Moh’d M. Omar, Boniface H. J. Massawe, Mawazo J. Shitindi, Ole Pedersen, Joel L. Meliyo, Kadeghe G. Fue
Publikováno v:
Frontiers in Soil Science, Vol 4 (2024)
Salt-affected soils have serious implications for agricultural land quality and productivity, leading to a reduction in the net cultivable area available for food production. This issue has emerged as one of the foremost global challenges in recent y
Externí odkaz:
https://doaj.org/article/603d2b6bbb1a47eda134da14047b4148
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 838 (2024)
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering detailed, real-time insights into plant health across multiple spectral domains. However, this technology’s precision in estimating plant traits associated wit
Externí odkaz:
https://doaj.org/article/3edb6da76efb40dd86b7ec128a80549a
Autor:
Denis O. Kiobia, Canicius J. Mwitta, Kadeghe G. Fue, Jason M. Schmidt, David G. Riley, Glen C. Rains
Publikováno v:
Sensors, Vol 23, Iss 8, p 4127 (2023)
Using artificial intelligence (AI) and the IoT (Internet of Things) is a primary focus of applied engineering research to improve agricultural efficiency. This review paper summarizes the engagement of artificial intelligence models and IoT technique
Externí odkaz:
https://doaj.org/article/5ea4c5bf34054c6e8bf762e9293ee217
An Extensive Review of Mobile Agricultural Robotics for Field Operations: Focus on Cotton Harvesting
Publikováno v:
AgriEngineering, Vol 2, Iss 1, Pp 150-174 (2020)
In this review, we examine opportunities and challenges for 21st-century robotic agricultural cotton harvesting research and commercial development. The paper reviews opportunities present in the agricultural robotics industry, and a detailed analysi
Externí odkaz:
https://doaj.org/article/5a95991a1be44474b2e3a9ef431fbb1f
Autor:
Ryan Kurtz, Sierra N. Young, John D. Wanjura, Robert G. Hardin, Emi Kimura, Yuzhen Lu, James Griffin, Mathew G. Pelletier, Greg A. Holt, Joe Mari Maja, Hussein Gharakhani, Edward M. Barnes, Jon Devine, John L. Snider, J. Alex Thomasson, Glen C. Rains, Gregory Ibendahl, Gaylon D. Morgan, Kater Hake, Tyson B. Raper, Kadeghe G. Fue, Ajay Sharda
Publikováno v:
AgriEngineering, Vol 3, Iss 23, Pp 339-362 (2021)
Civil and Environmental Engineering Faculty Publications
Civil and Environmental Engineering Faculty Publications
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
Publikováno v:
Transactions of the ASABE. 64:341-352
HighlightsAn ensemble method using color segmentation, deep learning, and image transformation was developed.Experiments were conducted to compare the method with other state-of-the-art tracking algorithms.The optimized ensemble method to track bolls
An Extensive Review of Mobile Agricultural Robotics for Field Operations: Focus on Cotton Harvesting
Publikováno v:
AgriEngineering, Vol 2, Iss 1, Pp 150-174 (2020)
In this review, we examine opportunities and challenges for 21st-century robotic agricultural cotton harvesting research and commercial development. The paper reviews opportunities present in the agricultural robotics industry, and a detailed analysi
Publikováno v:
Sensors
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4412, p 4412 (2020)
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4412, 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
Publikováno v:
Agronomy
Volume 10
Issue 8
Agronomy, Vol 10, Iss 1137, p 1137 (2020)
Volume 10
Issue 8
Agronomy, Vol 10, Iss 1137, 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
Publikováno v:
Electronics, Vol 9, Iss 1226, p 1226 (2020)
Electronics
Volume 9
Issue 8
Electronics
Volume 9
Issue 8
Multiple small rovers can repeatedly pick cotton as bolls begin to open until the end of the season. Several of these rovers can move between rows of cotton, and when bolls are detected, use a manipulator to pick the bolls. To develop such a multi-ag