Crop detection technologies, mechanical weeding executive parts and working performance of intelligent mechanical weeding: a review

被引:5
|
作者
Xiang, Meiqi [1 ]
Qu, Minghao [1 ]
Wang, Gang [1 ]
Ma, Zhongyang [1 ]
Chen, Xuegeng [1 ]
Zhou, Zihao [1 ]
Qi, Jiangtao [1 ]
Gao, Xiaomei [1 ]
Li, Hailan [1 ]
Jia, Honglei [1 ]
机构
[1] Jilin Univ, Coll Biol & Agr Engn, Changchun, Peoples R China
来源
关键词
physical weed control; identification and positioning methods; applicable scenario; applicable limitations; future trends; SUGAR-BEET; ROBUST CROP; SYSTEM; CLASSIFICATION; MAIZE; ROBOT; SEGMENTATION; AGRICULTURE; RECOGNITION; MANAGEMENT;
D O I
10.3389/fpls.2024.1361002
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Weeding is a key link in agricultural production. Intelligent mechanical weeding is recognized as environmentally friendly, and it profoundly alleviates labor intensity compared with manual hand weeding. While intelligent mechanical weeding can be implemented only when a large number of disciplines are intersected and integrated. This article reviewed two important aspects of intelligent mechanical weeding. The first one was detection technology for crops and weeds. The contact sensors, non-contact sensors and machine vision play pivotal roles in supporting crop detection, which are used for guiding the movements of mechanical weeding executive parts. The second one was mechanical weeding executive part, which include hoes, spring teeth, fingers, brushes, swing and rotational executive parts, these parts were created to adapt to different soil conditions and crop agronomy. It is a fact that intelligent mechanical weeding is not widely applied yet, this review also analyzed the related reasons. We found that compared with the biochemical sprayer, intelligent mechanical weeding has two inevitable limitations: The higher technology cost and lower working efficiency. And some conclusions were commented objectively in the end.
引用
收藏
页数:16
相关论文
共 8 条
  • [1] Key Technologies of Intelligent Weeding for Vegetables: A Review
    Jiao, Jinkang
    Zang, Ying
    Chen, Chaowen
    AGRICULTURE-BASEL, 2024, 14 (08):
  • [2] Weed seed production, crop planting pattern, and mechanical weeding in wheat
    Mertens, SK
    WEED SCIENCE, 2002, 50 (06) : 748 - 756
  • [3] An evaluation of the performance of mechanical weeding mechanisms for use in high speed inter-row weeding of arable crops
    Pullen, DWM
    Cowell, PA
    JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH, 1997, 67 (01): : 27 - 34
  • [4] Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency
    Steen, Kim Arild
    Therkildsen, Ole Roland
    Green, Ole
    Karstoft, Henrik
    SENSORS, 2015, 15 (03) : 5096 - 5111
  • [5] Impact of the Integration of Mechanical Weeding on Sugar Beet Crop and Weed Control in a 4-Year Rotation
    Rabier, Fabienne
    Henriet, Francois
    Parafiniuk, Stanislaw
    Pitchugina, Elena
    Limbourg, Quentin
    FARM MACHINERY AND PROCESSES MANAGEMENT IN SUSTAINABLE AGRICULTURE, FMPMSA 2024, 2024, 609 : 387 - 397
  • [6] Influence of mechanical weeding and fertilisation on perennial weeds, fungal diseases, soil structure and crop yield in organic spring cereals
    Brandsaeter, Lars Olav
    Mangerud, Kjell
    Andersson, Lars
    Borresen, Trond
    Brodal, Guro
    Melander, Bo
    ACTA AGRICULTURAE SCANDINAVICA SECTION B-SOIL AND PLANT SCIENCE, 2020, 70 (04): : 318 - 332
  • [7] Informing the operation of intelligent automated intra-row weeding machines in direct-sown sugar beet (Beta vulgaris L.): Crop effects of hoeing and flaming across early growth stages, tool working distances, and intensities
    McCollough, Margaret R.
    Poulsen, Frank
    Melander, Bo
    CROP PROTECTION, 2024, 177
  • [8] Empowering mechanical energy harvesting and intelligent noise detection with 2D fluorine functionalized BN-PVDF nanofibers based high performance piezoelectric nanogenerator
    Athira, B. S.
    Surendran, Kuzhichalil Peethambharan
    Chandran, Achu
    CHEMICAL ENGINEERING JOURNAL, 2025, 506