Deep learning approach for UAV-based weed detection in horticulture using edge processing-Reference-Cited by-同舟云学术

Deep learning approach for UAV-based weed detection in horticulture using edge processing

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:Applications of Machine Learning 2022
language:
Short-container-title:

Author:

Harders Leif Ole,Czymmek Vitali,Hussmann Stephan,Wrede Andreas,Ufer Thorsten

Publisher

SPIE

Reference35 articles.

1. Ministry of Energy, Agriculture, the Environment, Nature and Digitalization, “Agricultural report of the federal state schleswig-holstein.” https://www.schleswig-holstein.de/DE/Landesregierung/Themen/Landwirtschaft/Agrarstatistik/agrarstatistik_node.html (2021). (Accessed: 25 October 2021).

2. Innovation Office - EIP Agrar Schleswig-Holstein, “Brief of the project ’practical test of automatic weed control in organic carrots using a special it infrastructure’ funded by the european innovation partnership.” https://www.eip-agrar-sh.de/en/eip-innovationprojects/2nd-call/robotic-weed-control (2021). (Accessed: 25 October 2021).

3. Deep learning approach for high energy efficient real-time detection of weeds in organic farming;Czymmek,2021

4. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy,2020

5. Concept and virtual prototype of a rotary hoe for intra-row weed control in row crops;Gobor;Poljoprivredna tehnika XXXI,2006

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A weed control approach in Christmas tree production based on tree crown detection using remote sensing and deep learning;Optics, Photonics, and Digital Technologies for Imaging Applications VIII;2024-06-18

2. Road marking detection from UAV perspective based on improved YOLOv3;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

3. Review of Energy-Efficient Embedded System Acceleration of Convolution Neural Networks for Organic Weeding Robots;Agriculture;2023-11-06

4. Horticulture image based weed detection in feature extraction with dimensionality reduction using deep learning architecture;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18