Results 1 to 10 of about 5,065 (138)

Unmanned Aerial System-Based Weed Mapping in Sod Production Using a Convolutional Neural Network [PDF]

open access: yesFrontiers in Plant Science, 2021
Weeds are a persistent problem on sod farms, and herbicides to control different weed species are one of the largest chemical inputs. Recent advances in unmanned aerial systems (UAS) and artificial intelligence provide opportunities for weed mapping on ...
Jing Zhang   +5 more
doaj   +2 more sources

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery. [PDF]

open access: yesPLoS ONE, 2018
Appropriate Site Specific Weed Management (SSWM) is crucial to ensure the crop yields. Within SSWM of large-scale area, remote sensing is a key technology to provide accurate weed distribution information.
Huasheng Huang   +5 more
doaj   +2 more sources

Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management. [PDF]

open access: yesPest Manag Sci, 2020
Abstract BACKGROUND Unmanned aerial vehicles (UAVs) have been used in agriculture to collect imagery for crop and pest monitoring, and for decision‐making purposes. Spraying‐capable UAVs are now commercially available worldwide for agricultural applications.
Hunter JE   +4 more
europepmc   +4 more sources

Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery [PDF]

open access: yesSensors, 2018
Chemical control is necessary in order to control weed infestation and to ensure a rice yield. However, excessive use of herbicides has caused serious agronomic and environmental problems.
Huasheng Huang   +7 more
doaj   +2 more sources

A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery [PDF]

open access: yesSensors, 2018
Weed control is necessary in rice cultivation, but the excessive use of herbicide treatments has led to serious agronomic and environmental problems. Suitable site-specific weed management (SSWM) is a solution to address this problem while maintaining ...
Huasheng Huang   +6 more
doaj   +2 more sources

Transformer in UAV Image-Based Weed Mapping

open access: yesRemote Sensing, 2023
Weeds affect crop yield and quality due to competition for resources. In order to reduce the risk of yield losses due to weeds, herbicides or non-chemical measures are applied.
Jiangsan Zhao   +2 more
doaj   +2 more sources

Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping [PDF]

open access: yesSensors, 2015
Unmanned aerial vehicles (UAVs) combined with different spectral range sensors are an emerging technology for providing early weed maps for optimizing herbicide applications.
Irene Borra-Serrano   +4 more
doaj   +2 more sources

Selection of Grids for Weed Mapping [PDF]

open access: yesPlanta Daninha, 2015
This study aimed to assess the degree of similarity presented by thematic maps generated by different sampling grids of weed plants in a commercial agricultural area of 7.95 hectares. Monocotyledons and dicotyledons were counted on the 2012/2013 and 2013/
R.F.M. Camicia   +5 more
doaj   +4 more sources

Weed mapping using a machine vision system Mapeamento de plantas daninhas utilizando um sistema de visão artificial [PDF]

open access: yesPlanta Daninha, 2012
Weed mapping is a useful tool for site-specific herbicide applications. The objectives of this study were (1) to determine the percentage of land area covered by weeds in no-till and conventionally tilled fields of common bean using digital image ...
M.C. Silva Junior   +4 more
doaj   +4 more sources

THE EFFECT OF SPECTRAL MIXTURES ON WEED SPECIES CLASSIFICATION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Site-specific weed management (SSWM) is a precise and resource-efficient approach that can result in more productive and sustainable agricultural practices.
I. Ronay, F. Kizel, R. Lati
doaj   +1 more source

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