1 code implementation • 3 Jan 2024 • Xianjun Yang, Junfeng Gao, Wenxin Xue, Erik Alexandersson
Large Language Models (LLMs) have exhibited remarkable capabilities in understanding and interacting with natural language across various sectors.
no code implementations • 21 Sep 2023 • Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
Vision-based mobile robot navigation systems in arable fields are mostly limited to in-row navigation.
1 code implementation • 9 Aug 2023 • Xumin Gao, Wenxin Xue, Callum Lennox, Mark Stevens, Junfeng Gao
Aphids are efficient vectors to transmit virus yellows in sugar beet fields.
no code implementations • 9 Jun 2023 • Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
Usage of purely vision based solutions for row switching is not well explored in existing vision based crop row navigation frameworks.
no code implementations • 20 Oct 2022 • Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Erik Alexandersson, Jan Pieters
The results show that the mean intersection of union (IOU) values of the segmentation for the crop (maize), weeds, and soil background in the developed model for the field dataset are 0. 744, 0. 577, 0. 979, respectively, and the performance of aerial images from an UAV with the same model, the IOU values of the segmentation for the crop (maize), weeds and soil background are 0. 596, 0. 407, and 0. 875, respectively.
no code implementations • 28 Sep 2022 • Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
We also present a novel crop row detection algorithm for visual servoing in crop row fields.
1 code implementation • 9 Sep 2022 • Rajitha de Silva, Grzegorz Cielniak, Gang Wang, Junfeng Gao
The novel crop row detection algorithm was tested for crop row detection performance and the capability of visual servoing along a crop row.
no code implementations • 4 Apr 2022 • Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
Our method could reach the performance of a deep learning based crop row detection model trained with real-world data by using 60% less labelled real-world data.
no code implementations • 23 Nov 2021 • Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erik Alexandersson, Junfeng Gao
Effective early detection of potato late blight (PLB) is an essential aspect of potato cultivation.
no code implementations • 4 Nov 2021 • Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen, Lei Shu
Tea chrysanthemum detection at its flowering stage is one of the key components for selective chrysanthemum harvesting robot development.
no code implementations • 22 Sep 2021 • Adrian Salazar-Gomez, Madeleine Darbyshire, Junfeng Gao, Elizabeth I Sklar, Simon Parsons
The evolution of smaller, faster processors and cheaper digital storage mechanisms across the last 4-5 decades has vastly increased the opportunity to integrate intelligent technologies in a wide range of practical environments to address a broad spectrum of tasks.
no code implementations • 16 Sep 2021 • Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
This paper presents a novel metric to evaluate the robustness of deep learning based semantic segmentation approaches for crop row detection under different field conditions encountered by a field robot.