266 citations · 416 across the 10 of their papers we have counts for
5 papers · 1 filter
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study
Chris Lehnert, Chris McCool, Tristan Perez
Robotic harvesting of crops has the potential to disrupt current agricultural practices. A key element to enabling robotic harvesting is to safely remove the crop from the plant wh…
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester
Christopher Lehnert, Christopher McCool, Tristan Perez
In this paper, we present the lessons learnt during the development of a new robotic harvester (Harvey) that can autonomously harvest sweet pepper (capsicum) in protected cropping…
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems
Chris Lehnert, Andrew English, Chris McCool +2
In this letter, we present a new robotic harvester (Harvey) that can autonomously harvest sweet pepper in protected cropping environments. Our approach combines effective vision al…
Towards Unsupervised Weed Scouting for Agricultural Robotics
David Hall, Feras Dayoub, Jason Kulk +1
Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction h…
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information
Inkyu Sa, Chris Lehnert, Andrew English +4
This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting the peduncle cleanly is on…