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Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
Plant image recognition with deep learning: A review
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …
[HTML][HTML] UAV-based weed detection in Chinese cabbage using deep learning
Weeds are unwanted plants on agricultural soil. They always competing for sunlight,
nutrient, space and water with economic crops. Uncontrolled weed growth can cause both …
nutrient, space and water with economic crops. Uncontrolled weed growth can cause both …
Progress in the application of cnn-based image classification and recognition in whole crop growth cycles
F Yu, Q Zhang, J ** in multispectral drone imagery using lightweight vision transformers
In precision agriculture, non-invasive remote sensing can be used to observe crops and
weeds in visible and non-visible spectra. This paper proposes a novel approach for weed …
weeds in visible and non-visible spectra. This paper proposes a novel approach for weed …
Advancements of UAV and deep learning technologies for weed management in Farmland
J Zhang, F Yu, Q Zhang, M Wang, J Yu, Y Tan - Agronomy, 2024 - mdpi.com
With the continuous growth of the global population and the increasing demand for crop
yield, enhancing crop productivity has emerged as a crucial research objective on a global …
yield, enhancing crop productivity has emerged as a crucial research objective on a global …
Hybrid CNN model for classification of Rumex obtusifolius in grassland
Rumex obtusifolius Linnaeus (R. obtu. L.) is one of the vital broad-leaved weeds in
grassland that needs removal. It affects dairy products and reduces their quality. Hand …
grassland that needs removal. It affects dairy products and reduces their quality. Hand …
[HTML][HTML] Eco-friendly weeding through precise detection of growing points via efficient multi-branch convolutional neural networks
Weeds can give negative effects for plant growth, and effectively controlling them is a
significant challenge. Traditional methods, such as herbicides, may not be environmentally …
significant challenge. Traditional methods, such as herbicides, may not be environmentally …
Improved weed detection in cotton fields using enhanced YOLOv8s with modified feature extraction modules
D Ren, W Yang, Z Lu, D Chen, H Shi - Symmetry, 2024 - mdpi.com
Weed detection plays a crucial role in enhancing cotton agricultural productivity. However,
the detection process is subject to challenges such as target scale diversity and loss of leaf …
the detection process is subject to challenges such as target scale diversity and loss of leaf …