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Deep learning-based approaches for weed detection in crops. [PDF]
Front Plant SciZhao H, Wang Y.
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A deep learning-based method for classification, detection, and localization of weeds in turfgrass.
Pest Management Science, 2022BACKGROUND Precision spraying of synthetic herbicides can reduce herbicide input. Previous research demonstrated the effectiveness of using image classification neural networks for detecting weeds growing in turfgrass but did not attempt to discriminate ...
Xiaojun Jin +4 more
semanticscholar +1 more source
Science of the Total Environment, 2022
Returning turfgrass clippings to soil (i.e., mulching) has been shown to yield many benefits, such as reducing fertilizer requirements. However, previous reports on the contribution of clippings to turfgrass fertilization varies widely, making it ...
Guillaume Grégoire +2 more
semanticscholar +1 more source
Returning turfgrass clippings to soil (i.e., mulching) has been shown to yield many benefits, such as reducing fertilizer requirements. However, previous reports on the contribution of clippings to turfgrass fertilization varies widely, making it ...
Guillaume Grégoire +2 more
semanticscholar +1 more source
Remediation for trace metals in polluted soils by turfgrass assisted with chemical reagents.
Chemosphere, 2022Trace metal pollution in soils is one of the universal environmental problems in the world. Phytoremediation is a green, safe, ecological, and economic method to achieve continuous reduction of soil pollutants.
Feili Li +5 more
semanticscholar +1 more source
Journal of Environmental Quality, 2021
Turfgrass systems can be an important source or sink for greenhouse gases (GHG), including carbon dioxide (CO2 ), nitrous oxide (N2 O), and methane (CH4 ).
Quincy D. Law +3 more
semanticscholar +1 more source
Turfgrass systems can be an important source or sink for greenhouse gases (GHG), including carbon dioxide (CO2 ), nitrous oxide (N2 O), and methane (CH4 ).
Quincy D. Law +3 more
semanticscholar +1 more source
New approaches to an old problem: Dollar spot of turfgrass.
Phytopathology, 2021Dollar spot, caused by the fungal pathogens Clarireedia spp. (formerly Sclerotinia homoeocarpa), is the most common and widely distributed disease of turfgrass worldwide.
Suraj Sapkota +4 more
semanticscholar +1 more source
Deep learning for image-based weed detection in turfgrass
European Journal of Agronomy, 2019Precision spraying of herbicides can significantly reduce herbicide use. The detection system is the critical component within smart sprayers that is used to detect target weeds and make spraying decisions.
Jialin Yu +3 more
semanticscholar +1 more source
Drought response of urban trees and turfgrass using airborne imaging spectroscopy
, 2020Vegetation growth and physiological functioning, including carbon uptake and transpiration, can be strongly affected by drought. During water-limited conditions, urban vegetation may be limited in its ability to provide ecosystem services, such as ...
David L. Miller +4 more
semanticscholar +1 more source