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Updated: Sep 18, 2025

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Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay
Published on: September 7, 2015
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Deep learning-based laser weed control compared to conventional herbicide application across three vegetable
Lynn M Sosnoskie1, Kylie Bill2, Aleah Butler-Jones1
1School of Integrative Plant Sciences - Horticulture Section, Cornell AgriTech, New York State Agricultural Experiment Station, Geneva, NY, USA.
Pest Management Science
|June 24, 2025
Summary
Laser weeding effectively controls weeds in crops like beets, spinach, and peas, offering a promising alternative to herbicides. This innovative method enhances crop biomass and yield without causing significant crop damage.
Area of Science:
- Agricultural Science
- Weed Management Technologies
- Sustainable Agriculture
Background:
- Conventional herbicide use faces challenges including resistance, crop injury, and regulatory pressures.
- Growing demand for nonchemical weed control methods is increasing interest in alternatives like laser weeding.
Purpose of the Study:
- To evaluate the efficacy of laser weeding compared to herbicides for weed control in processing vegetables.
- To assess the impact of laser weeding on crop yield and biomass.
Main Methods:
- Field trials were conducted in New Jersey and New York in 2024.
- Laser weeding was compared against pre-emergence and post-emergence herbicide applications.
- Evaluated on beet, spinach, and pea crops.
Main Results:
- Laser weeding matched or surpassed herbicide effectiveness against common lambsquarters and common ragweed.
- Effectiveness varied for purslane and annual grasses due to specific weed biology and emergence patterns.
- Laser weeding significantly reduced weed cover, density, and biomass while increasing crop biomass by over 30% with minimal stunting.
Conclusions:
- Multiple laser passes provide effective weed control without crop damage, potentially increasing yields over conventional herbicides.
- Further research is recommended to optimize laser weeding technology for diverse environments and weed types, and to scale up commercial units.
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