Weed detection methods and weed spatial variability mapping with the aid of sensory technique

被引:0
|
作者
Kroulik, Milan [1 ]
Kovaricek, Pavel [2 ]
Rudolf, Sindelar [1 ]
Prochazka, Pavel [1 ]
机构
[1] Ceska Zemedelska Univ, Fak Tech, Katedra Zemedelskych Stroju, Kamycka 129, Prague 16521 6, Czech Republic
[2] Res Inst Agr Engn, Prague, Czech Republic
来源
LISTY CUKROVARNICKE A REPARSKE | 2007年 / 123卷 / 04期
关键词
remote sensing; spectral reflectance; weed detection; precision; agriculture; weed mapping;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
No small facilities are spent on the weed control for each year. Many projects and papers point at patches weed infestation. The weed control based on the weed recognition and herbicides variable application could represent a large economic saving for the farmers and also reduce amount of herbicide in the environment. Presently, variable application is seldom practiced. Potential of remote sensing and sensors as a toot for detecting and quantifying of weeds is based on several principles and levels, from aerial pictures to ground sensors platform. The main aim of this article is overview of basic principles of weed detection and weed mapping. Developing trends of weed spatial variability mapping have been also described.
引用
收藏
页码:122 / 129
页数:8
相关论文
共 50 条
  • [1] Spatial and spectral methods for weed detection and localization
    Vioix, JB
    Douzals, JP
    Truchetet, F
    Assémat, L
    Guillemin, JP
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2002, 2002 (07) : 679 - 685
  • [2] Spatial and Spectral Methods for Weed Detection and Localization
    Jean-Baptiste Vioix
    Jean-Paul Douzals
    Frédéric Truchetet
    Louis Assémat
    Jean-Philippe Guillemin
    [J]. EURASIP Journal on Advances in Signal Processing, 2002
  • [3] Mapping of weed variability in the potato crops
    Cepl, J
    [J]. ACTUAL TASKS ON AGRICULTURAL ENGINEERING, 2005, 33 : 417 - 423
  • [4] Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control
    Alessandro da Costa Lima
    Marcelo Chan Fu Wei
    Ana Flávia Souza Laube
    Ricardo Alcántara-de la Cruz
    Francisco Cláudio Lopes de Freitas
    Antônio Alberto da Silva
    Kassio Ferreira Mendes
    [J]. Precision Agriculture, 2024, 25 : 30 - 50
  • [5] Incorporation of weed spatial variability into the weed control decision-making process
    Zanin, G
    Berti, A
    Riello, L
    [J]. WEED RESEARCH, 1998, 38 (02) : 107 - 118
  • [6] Sampling weed spatial variability on a fieldwide scale
    Clay, SA
    Lems, GJ
    Clay, DE
    Forcella, F
    Ellsbury, MM
    Carlson, CG
    [J]. WEED SCIENCE, 1999, 47 (06) : 674 - 681
  • [7] Spatial variability mapping of indaziflam and metribuzin sorption-desorption for precision weed control
    Lima, Alessandro da Costa
    Wei, Marcelo Chan Fu
    Laube, Ana Flavia Souza
    Cruz, Ricardo Alcantara-de la
    de Freitas, Francisco Claudio Lopes
    da Silva, Antonio Alberto
    Mendes, Kassio Ferreira
    [J]. PRECISION AGRICULTURE, 2024, 25 (01) : 30 - 50
  • [8] Efficiency and Accuracy of Wildland Weed Mapping Methods
    Christensen, Stephanie D.
    Ransom, Corey V.
    Edvarchuk, Kimberly A.
    Rasmussen, V. Philip
    [J]. INVASIVE PLANT SCIENCE AND MANAGEMENT, 2011, 4 (04) : 458 - 466
  • [9] Sampling for weed spatial distribution mapping need not be adaptive
    Mathieu Bonneau
    Nathalie Peyrard
    Sabrina Gaba
    Régis Sabbadin
    [J]. Environmental and Ecological Statistics, 2016, 23 : 233 - 255
  • [10] Sampling for weed spatial distribution mapping need not be adaptive
    Bonneau, Mathieu
    Peyrard, Nathalie
    Gaba, Sabrina
    Sabbadin, Regis
    [J]. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2016, 23 (02) : 233 - 255