2 citations · 3 across the 5 of their papers we have counts for
5 papers
Robotic Multimodal Data Acquisition for In-Field Deep Learning Estimation of Cover Crop Biomass
Joe Johnson, Phanender Chalasani, Arnav Shah +2
Accurate weed management is essential for mitigating significant crop yield losses, necessitating effective weed suppression strategies in agricultural systems. Integrating cover c…
Toward Precise Robotic Weed Flaming Using a Mobile Manipulator with a Flamethrower
Di Wang, Chengsong Hu, Shuangyu Xie +5
Robotic weed flaming is a new and environmentally friendly approach to weed removal in the agricultural field. Using a mobile manipulator equipped with a flamethrower, we design a…
Coupled Active Perception and Manipulation Planning for a Mobile Manipulator in Precision Agriculture Applications
Shuangyu Xie, Chengsong Hu, Di Wang +3
A mobile manipulator often finds itself in an application where it needs to take a close-up view before performing a manipulation task. Named this as a coupled active perception an…
Multi-growth stage plant recognition: a case study of Palmer amaranth (Amaranthus palmeri) in cotton (Gossypium hirsutum)
Guy RY Coleman, Matthew Kutugata, Michael J Walsh +1
Many advanced, image-based precision agricultural technologies for plant breeding, field crop research, and site-specific crop management hinge on the reliable detection and phenot…
Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training Data
Shuangyu Xie, Chengsong Hu, Muthukumar Bagavathiannan +1
To enable robotic weed control, we develop algorithms to detect nutsedge weed from bermudagrass turf. Due to the similarity between the weed and the background turf, manual data la…