Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm
This paper presents a mechanical control method for precise weeding based on deep learning. Deep convolutional neural network was used to identify and locate weeds. A special modular weeder was designed, which can be installed on the rear of a mobile platform. An inverted pyramid-shaped weeding tool...
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2021
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oai:doaj.org-article:fb88063213b642dcb4f6609f0cc589492021-11-25T15:58:14ZMechanical Control with a Deep Learning Method for Precise Weeding on a Farm10.3390/agriculture111110492077-0472https://doaj.org/article/fb88063213b642dcb4f6609f0cc589492021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0472/11/11/1049https://doaj.org/toc/2077-0472This paper presents a mechanical control method for precise weeding based on deep learning. Deep convolutional neural network was used to identify and locate weeds. A special modular weeder was designed, which can be installed on the rear of a mobile platform. An inverted pyramid-shaped weeding tool equipped in the modular weeder can shovel out weeds without being contaminated by soil. The weed detection and control method was implemented on an embedded system with a high-speed graphics processing unit and integrated with the weeder. The experimental results showed that even if the speed of the mobile platform reaches 20 cm/s, the weeds can still be accurately detected and the position of the weeds can be located by the system. Moreover, the weeding mechanism can successfully shovel out the roots of the weeds. The proposed weeder has been tested in the field, and its performance and weed coverage have been verified to be precise for weeding.Chung-Liang ChangBo-Xuan XieSheng-Cheng ChungMDPI AGarticledeep learningmachine visionweedersmart agriculturemechanical controlAgriculture (General)S1-972ENAgriculture, Vol 11, Iss 1049, p 1049 (2021) |
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deep learning machine vision weeder smart agriculture mechanical control Agriculture (General) S1-972 |
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deep learning machine vision weeder smart agriculture mechanical control Agriculture (General) S1-972 Chung-Liang Chang Bo-Xuan Xie Sheng-Cheng Chung Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
description |
This paper presents a mechanical control method for precise weeding based on deep learning. Deep convolutional neural network was used to identify and locate weeds. A special modular weeder was designed, which can be installed on the rear of a mobile platform. An inverted pyramid-shaped weeding tool equipped in the modular weeder can shovel out weeds without being contaminated by soil. The weed detection and control method was implemented on an embedded system with a high-speed graphics processing unit and integrated with the weeder. The experimental results showed that even if the speed of the mobile platform reaches 20 cm/s, the weeds can still be accurately detected and the position of the weeds can be located by the system. Moreover, the weeding mechanism can successfully shovel out the roots of the weeds. The proposed weeder has been tested in the field, and its performance and weed coverage have been verified to be precise for weeding. |
format |
article |
author |
Chung-Liang Chang Bo-Xuan Xie Sheng-Cheng Chung |
author_facet |
Chung-Liang Chang Bo-Xuan Xie Sheng-Cheng Chung |
author_sort |
Chung-Liang Chang |
title |
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
title_short |
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
title_full |
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
title_fullStr |
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
title_full_unstemmed |
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm |
title_sort |
mechanical control with a deep learning method for precise weeding on a farm |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/fb88063213b642dcb4f6609f0cc58949 |
work_keys_str_mv |
AT chungliangchang mechanicalcontrolwithadeeplearningmethodforpreciseweedingonafarm AT boxuanxie mechanicalcontrolwithadeeplearningmethodforpreciseweedingonafarm AT shengchengchung mechanicalcontrolwithadeeplearningmethodforpreciseweedingonafarm |
_version_ |
1718413416643690496 |