Laser weeding: opportunities and challenges for couch grass (Elymus repens (L.) Gould) control.
Agropyrum repens
Integrated weed management
Non-chemical weed control
Perennial weeds
Site-specific weed management
Thermal weed control
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
15 May 2024
15 May 2024
Historique:
received:
08
03
2024
accepted:
09
05
2024
medline:
16
5
2024
pubmed:
16
5
2024
entrez:
15
5
2024
Statut:
epublish
Résumé
Laser weeding may contribute to less dependency on herbicides and soil tillage. Several research and commercial projects are underway to develop robots equipped with lasers to control weeds. Artificial intelligence can be used to locate and identify weed plants, and mirrors can be used to direct a laser beam towards the target to kill it with heat. Unlike chemical and mechanical weed control, laser weeding only exposes a tiny part of the field for treatment. Laser weeding leaves behind only ashes from the burned plants and does not disturb the soil. Therefore, it is an eco-friendly method to control weed seedlings. However, perennial weeds regrow from the belowground parts after the laser destroys the aerial shoots. Depletion of the belowground parts for resources might be possible if the laser continuously kills new shoots, but it may require many laser treatments. We studied how laser could be used to destroy the widespread and aggressive perennial weed Elymus repens after the rhizomes were cut into fragments. Plants were killed with even small dosages of laser energy and stopped regrowing. Generally, the highest efficacy was achieved when the plants from small rhizomes were treated at the 3-leaf stage.
Identifiants
pubmed: 38750179
doi: 10.1038/s41598-024-61742-8
pii: 10.1038/s41598-024-61742-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
11173Subventions
Organisme : European Commission
ID : Grant agreement ID: 101000256
Informations de copyright
© 2024. The Author(s).
Références
Heap, I. The International Herbicide-Resistant Weed Database. Online. Tuesday, January 12, 2024 (2024). Available www.weedscience.org
Gonçalves, B. B., Giaquinto, P. C., dos Santos Silva, D., de Lima, A. A., Darosci, A. A. B., Portinho, J. L. & Rocha, T. L.. Ecotoxicology of glyphosate-based herbicides on aquatic environment. In Biochemical Toxicology-Heavy Metals and Nanomaterials. IntechOpen. Ecotoxicology of glyphosate-based herbicides on aquatic environment (2019).
Mehdizadeh, M. et al. Herbicide residues in agroecosystems: Fate, detection, and effect on non-target plants. Rev. Agric. Sci. 9, 157–167. https://doi.org/10.7831/ras.9.0_157 (2021).
doi: 10.7831/ras.9.0_157
Umapathi, R. et al. Advances in optical-sensing strategies for the on-site detection of pesticides in agricultural foods. Trends Food Sci. Technol. 119, 69–89. https://doi.org/10.1016/j.tifs.2021.11.018 (2022).
doi: 10.1016/j.tifs.2021.11.018
Lamichhane, J. R., Dachbrodt-Saaydeh, S., Kudsk, P. & Messéan, A. Toward a reduced reliance on conventional pesticides in European agriculture. Plant Disease 100(1), 10–24. https://doi.org/10.1094/PDIS-05-15-0574-FE (2015).
doi: 10.1094/PDIS-05-15-0574-FE
pubmed: 30688570
McGinley, J. et al. Impact of historical legacy pesticides on achieving legislative goals in Europe. Sci. Total Environ. 873, 162312. https://doi.org/10.1016/j.scitotenv.2023.162312 (2023).
doi: 10.1016/j.scitotenv.2023.162312
pubmed: 36805066
Swanton, C. J. & Weise, S. F. Integrated weed management: The rationale and approach. Weed Technol. 5(3), 657–663. https://doi.org/10.1017/S0890037X00027512 (1991).
doi: 10.1017/S0890037X00027512
Slaven, M. J., Koch, M. & Borger, C. P. D. Exploring the potential of electric weed control: a review. Weed Sci. 71(5), 403–421. https://doi.org/10.1017/wsc.2023.38 (2023).
doi: 10.1017/wsc.2023.38
Bitarafan, Z., Kaczmarek-Derda, W., Berge, T. W., Tørresen, K. S. & Fløistad, I. S. Soil steaming to disinfect barnyard gress-infested soil masses. Weed Technol. 36(1), 177–185. https://doi.org/10.1017/wet.2021.107 (2022).
doi: 10.1017/wet.2021.107
Rask, A. M., Andreasen, C. & Kristoffersen, P. Response of Lolium perenne to repeated flame treatments with various doses of propane. Weed Res. 52, 131–139. https://doi.org/10.1111/j.1365-3180.2011.00899.x (2012).
doi: 10.1111/j.1365-3180.2011.00899.x
Slaughter, D. C., Giles, D. K. & Downey, D. Autonomous robotic weed control systems: A review. Comput. Electron. Agric. 61, 63–78. https://doi.org/10.1016/j.compag.2007.05.008 (2008).
doi: 10.1016/j.compag.2007.05.008
Zhang, W., Miao, Z., Li, N., He, C. & Sun, T. Review of current robotic approaches for precision weed management. Curr. Robot. Rep. 3, 139–151. https://doi.org/10.1007/s43154-022-00086-5 (2022).
doi: 10.1007/s43154-022-00086-5
pubmed: 35891887
pmcid: 9305686
Rakhmatulin, I., Kamilaris, A. & Andreasen, C. Deep neural networks to detect and classify weeds from crops in agricultural environments in real-time: A review. Remote Sens. 13(21), 4486. https://doi.org/10.3390/rs13214486 (2021).
doi: 10.3390/rs13214486
Rakhmatulin, I. & Andreasen, C. A concept of a compact and inexpensive device for controlling weeds with laser beams. Agronomy 10, 1616. https://doi.org/10.3390/agronomy10101616 (2020).
doi: 10.3390/agronomy10101616
Coleman, G., Betters, C., Squires, C., Leon-Saval, S. & Walsh, M. Low energy laser treatments control annual ryegrass (Lolium rigidum). Front. Agron. 2, 601542. https://doi.org/10.3389/fagro.2020.601542 (2021).
doi: 10.3389/fagro.2020.601542
Heisel, T., Schou, J., Christensen, S. & Andreasen, C. Cutting weeds with CO
doi: 10.1046/j.1365-3180.2001.00212.x
Andreasen, C., Vlassi, E., Johannsen, K. S. & Jensen, S. M. Side-effects of laser weeding: Quantifying off-target risks to earthworms (Enchytraeids) and insects (Tenebrio molitor and Adalia bipunctata). Front. Agron. https://doi.org/10.3389/fagro.2023.1198840 (2023).
doi: 10.3389/fagro.2023.1198840
Heisel, T., Schou, J., Andreasen, C. & Christensen, S. Using laser to measure stem thickness and cut weed stems. Weed Res. 42(3), 242–248. https://doi.org/10.1046/j.1365-3180.2002.00282.x (2002).
doi: 10.1046/j.1365-3180.2002.00282.x
Andreasen, C., Scholle, K. & Saberi, M. Laser weeding with small autonomous vehicles: Friends or foes?. Front. Agron. 4, 841086. https://doi.org/10.3389/fagro.2022.841086 (2022).
doi: 10.3389/fagro.2022.841086
Andreasen, C., Vlassi, E. & Salehan, N. Laser weeding of common weed species. Front. Plant Sci. 15, 1375164. https://doi.org/10.3389/fpls.2024.1375164 (2024).
doi: 10.3389/fpls.2024.1375164
Krähmer, H. et al. Weed surveys and weed mapping in Europe: State of the art and future tasks. Crop Prot. 129, 105010. https://doi.org/10.1016/j.cropro.2019.105010 (2020).
doi: 10.1016/j.cropro.2019.105010
Palmer, J. & Sagar, G. Agropyron repens (L.) Beauv (Triticum repens L. Elytrigia repens (L.) Nevski). J. Ecol. 51, 783–794. https://doi.org/10.2307/2257764 (1963).
doi: 10.2307/2257764
Werner, P. A. & Rioux, R. The biology of Canadian weeds. 24. Agropyron repens (L.) Beauv. Can. J. Plant Sci. 57, 905–919. https://doi.org/10.4141/cjps77-130 (1977).
doi: 10.4141/cjps77-130
Holm, L. G., Plucknett, D. L., Pancho, J. V. & Herberger, J. P. The World’s Worst Weeds (University Press, Honolulu, 1977).
Andreasen, C. & Skovgaard, I. M. Crop and soil factors of importance for the distribution of plant species on arable fields in Denmark. Agric. Ecosyst. Environ. 133, 61–67. https://doi.org/10.1016/j.agee.2009.05.003 (2009).
doi: 10.1016/j.agee.2009.05.003
Salonen, J., Hyvönen, T. & Jalli, H. A Composition of weed flora in spring cereals in Finland—A fourth survey. Agric. Food Sci. 20, 245. https://doi.org/10.2137/145960611797471534 (2011).
doi: 10.2137/145960611797471534
Andreasen, C. & Streibig, J. C. Evaluation of changes in weed flora in arable fields of Nordic countries–based on Danish long-term surveys. Weed Res. 51, 214–226. https://doi.org/10.1111/j.1365-3180.2010.00836.x (2011).
doi: 10.1111/j.1365-3180.2010.00836.x
Salonen, J., Hyvönen, T., Kaseva, J. & Jalli, H. Impact of changed cropping practices on weed occurrence in spring cereals in Finland–a comparison of surveys in 1997–1999 and 2007–2009. Weed Res. 53, 110–120. https://doi.org/10.1111/wre.12004 (2013).
doi: 10.1111/wre.12004
Andreasen, C., Vlassi, E., Salehan, N., Johannsen, K. S. & Jensen, S. M. Laser weed seed control: Challenges and opportunities. Front. Agron. https://doi.org/10.3389/fagro.2024.1342372 (2024).
doi: 10.3389/fagro.2024.1342372
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Australia (2024). https://www.r-project.org/ .
Håkansson, S. Weeds and Weed Management on Arable Land (CABI publishing, Wallingford, 2003).
Rogan, P. G. & Smidt, D. L. Experimental control of bud inhibition in rhizomes of Agropyron repens (L.) Beauv. Z. Pflanzenphysiol. 78(2), 113–121. https://doi.org/10.1016/S0044-328X(78)80182-2 (1976).
doi: 10.1016/S0044-328X(78)80182-2
Thiour-Mauprivez, C., Martin-Laurent, F., Calvayrac, C. & Barthelmebs, L. Effects of herbicide on non-target microorganisms: Towards a new class of biomarkers?. Sci. Total Environ. 684, 314–325. https://doi.org/10.1016/j.scitotenv.2019.05.230 (2019).
doi: 10.1016/j.scitotenv.2019.05.230
pubmed: 31153078
Singh, N. S., Sharma, R., Parween, T. & Patanjali, P. K. Pesticide contamination and human health risk factor. In Modern age environmental problems and their remediation, 49−68. https://doi.org/10.1007/978-3-319-64501-8_3 (2018).
van Barneveld, R. J. Physical and chemical contaminants in grains used in livestock feeds. Aust. J. Agric. Res. 50(5), 807–824. https://doi.org/10.1071/AR98168 (1999).
doi: 10.1071/AR98168
European Commission (2024) Glyphosate. https://food.ec.europa.eu/plants/pesticides/approval-active-substances/renewal-approval/glyphosate_en (Accessed 5 March 2024).
Doran, J. W. & Zeiss, M. R. Soil health and sustainability: Managing the biotic component of soil quality. Appl. Soil Ecol. 15, 3–11. https://doi.org/10.1016/S0929-1393(00)00067-6 (2011).
doi: 10.1016/S0929-1393(00)00067-6
Tamburini, G., Simone, S. D., Sigura, M., Boscutti, F. & Marini, L. Conservation tillage mitigates the negative effect of landscape simplification on biological control. J. Appl. Ecol. 53, 233–241. https://doi.org/10.1111/1365-2664.12544 (2016).
doi: 10.1111/1365-2664.12544
Sharma, D. K., Tomar, S. & Chakraborty, D. Role of earthworm in improving soil structure and functioning. Curr. Sci. 113, 1064–1071. https://doi.org/10.18520/cs/v113/i06/1064-1071 (2017).
doi: 10.18520/cs/v113/i06/1064-1071
Michalko, R., Pekár, S., Dulá, M. & Entling, M. H. Global patterns in the biocontrol efficacy of spiders. A meta-analysis. Glob. Ecol. Biogeogr. 28, 1366–1378. https://doi.org/10.1111/geb.12927 (2019).
doi: 10.1111/geb.12927
Symondson, W. O. C., Sunderland, K. D. & Greenstone, M. H. Can generalist predators be effective biocontrol agents?. Ann. Rev. Entomol. 47, 561–594. https://doi.org/10.1146/annurev.ento.47.091201.145240 (2002).
doi: 10.1146/annurev.ento.47.091201.145240
Cloutier, D. C. & Leblanc, M. L. Mechanical weed control in agriculture. In Physical Control Methods in Plant Protection (eds Vincent, C. et al.) (Springer, Berlin/Heidelberg, 2001). https://doi.org/10.1007/978-3-662-04584-8_13 .
doi: 10.1007/978-3-662-04584-8_13
Cloutier, D. C., van der Weide, R. Y., Peruzzi, A. & Leblanc, M. L. Mechanical weed management. In Non-chemical Weed Management: Principles, Concepts and Technology (eds Updahyaya, M. K. & Blackshaw, R. E.) (CABI international, Wallingford, 2007). https://doi.org/10.1079/9781845932909.0111 .
doi: 10.1079/9781845932909.0111
Krupanek, J. et al. Environmental performance of an autonomous laser weeding robot—A case study. Int. J. Life Cycle Assess. https://doi.org/10.1007/s11367-024-02295-w (2024).
doi: 10.1007/s11367-024-02295-w