Jun Hu
11 Papers
3 Citations
Jun Hu is an academic researcher. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 4, co-authored 7 publications.
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Papers
A Novel Greenhouse-Based System for the Detection and Plumpness Assessment of Strawberry Using an Improved Deep Learning Technique.
TL;DR: This work proposes a robust architecture, named “improved Faster-RCNN,” to detect strawberries in ground-level RGB images captured by a self-developed “Large Scene Camera System” and shows that deep learning techniques can serve as invaluable tools in larger field investigation frameworks, specifically for applications involving plant phenotyping.
A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks.
TL;DR: The approach of training a deep learning model using low-cost imaging devices represents a means to improve broccoli breeding and vegetable trade.
Estimating Maize-Leaf Coverage in Field Conditions by Applying a Machine Learning Algorithm to UAV Remote Sensing Images
TL;DR: An image-segmentation method based on machine learning to extract relatively accurate coverage information from the orthophoto generated after preprocessing and recommends using red-green-blue (RGB)-based technology in addition to conventional equipment for acquiring the leaf coverage of agricultural crops.
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An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China
TL;DR: In this article , a semi-automatic workflow based on deep learning was proposed to process UAV RGB imagery and LiDAR point clouds and thereby remotely detect and characterize broccoli canopy and heads.
20
Off-flavor profiling of cultured salmonids using hyperspectral imaging combined with machine learning.
TL;DR: In this paper , the authors investigated the possibility of comprehensive off-flavor profiling considering both olfactory and taste sensory perspectives by combining near-infrared hyperspectral imaging (NIR-HSI) and machine/deep learning.
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