Results 91 to 100 of about 324 (160)

Multi-format open-source weed image dataset for real-time weed identification in precision agriculture. [PDF]

open access: yesData Brief, 2023
Rai N   +7 more
europepmc   +1 more source

Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification

open access: yesArtificial Intelligence in Agriculture
Addressing the computational bottleneck of training deep learning models on high-resolution, three-dimensional images, this study introduces an optimized approach, combining distributed learning (parallelism), image resolution, and data augmentation.
Billy G. Ram   +3 more
doaj   +1 more source

Control and Distribution of Herbicide Resistant Waterhemp (Amaranthus tuberculatus) in Ontario

open access: yes, 2019
Field surveys were conducted in 2016, 2017 and 2018 to build on previous distribution research. Waterhemp was located at 42 additional locations in seven Ontario counties and the province of Quebec. Greenhouse testing of populations collected between 2014 and 2017 has shown that 100% of the populations are resistant to Group 2 herbicides, 83% to Group ...
openaire   +1 more source

Weed genomics: yielding insights into the genetics of weedy traits for crop improvement. [PDF]

open access: yesaBIOTECH, 2023
Huang Y   +6 more
europepmc   +1 more source

Future efficacy of pre-emergence herbicides in corn (Zea mays) is threatened by more variable weather. [PDF]

open access: yesPest Manag Sci, 2021
Landau CA   +5 more
europepmc   +1 more source

Herbicide drift exposure leads to reduced herbicide sensitivity in Amaranthus spp. [PDF]

open access: yesSci Rep, 2020
Vieira BC   +5 more
europepmc   +1 more source

A novel automated cloud-based image datasets for high throughput phenotyping in weed classification. [PDF]

open access: yesData Brief
G C S   +6 more
europepmc   +1 more source

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