Search Results for author: Junfeng Gao

Found 12 papers, 3 papers with code

PLLaMa: An Open-source Large Language Model for Plant Science

1 code implementation3 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.

Language Modelling Large Language Model

Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation

no code implementations9 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.

Navigate Robot Navigation

Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming

no code implementations20 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.

Segmentation Semantic Segmentation

Vision based Crop Row Navigation under Varying Field Conditions in Arable Fields

no code implementations28 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.

Navigate

Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots

1 code implementation9 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.

Autonomous Navigation

Towards Infield Navigation: leveraging simulated data for crop row detection

no code implementations4 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.

Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model

no code implementations4 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.

Towards practical object detection for weed spraying in precision agriculture

no code implementations22 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.

object-detection Object Detection

Towards agricultural autonomy: crop row detection under varying field conditions using deep learning

no code implementations16 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.

Semantic Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.