Fine-grained weed recognition using Swin Transformer and two-stage transfer learning
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1134932
Abstract: Weeding is very critical for agriculture due to its importance for reducing crop yield loss. Accurate recognition of weed species is one of the major challenges for achieving automatic and precise weeding. To improve the… read more here.
Keywords: recognition; two stage; stage transfer; transfer learning ... See more keywords
Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15141471
Abstract: Quickly and accurately identifying weed areas is of great significance for improving weeding efficiency, reducing pesticide residues, protecting soil ecological environment, and increasing crop yield and quality. Targeting low detection efficiency in complex agricultural environments… read more here.
Keywords: input; segmentation; band; based msu ... See more keywords
Weed Recognition at Soybean Seedling Stage Based on YOLOV8nGP + NExG Algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Agronomy"
DOI: 10.3390/agronomy14040657
Abstract: The high cost of manual weed control and the overuse of herbicides restrict the yield and quality of soybean. Intelligent mechanical weeding and precise application of pesticides can be used as effective alternatives for weed… read more here.
Keywords: recognition soybean; recognition; soybean seedling; weed recognition ... See more keywords
SkipResNet: Crop and Weed Recognition Based on the Improved ResNet
Sign Up to like & getrecommendations! Published in 2024 at "Land"
DOI: 10.3390/land13101585
Abstract: Weeds have a detrimental effect on crop yield. However, the prevailing chemical weed control methods cause pollution of the ecosystem and land. Therefore, it has become a trend to reduce dependence on herbicides; realize a… read more here.
Keywords: recognition; weed recognition; crop weed; crop ... See more keywords