WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-05092-z
Abstract: Weed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices. This study presents a comprehensive approach to weed identification… read more here.
Keywords: detection classification; transformer; weed detection; vision ... See more keywords
SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3536175
Abstract: The limited processing capacity of computing equipment that is usually mounted on unmanned aerial vehicles (UAVs) often prevents real-time execution of computer vision tasks, such as image segmentation. In this article, we introduce SqueezeSlimU-Net (SSU-Net),… read more here.
Keywords: segmentation; real time; weed detection; ssu net ... See more keywords
Weed Detection in Images of Carrot Fields Based on Improved YOLO v4
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380211
Abstract: Received: 18 November 2020 Accepted: 10 February 2021 The accurate weed detection is the premise for precision prevention and control of weeds in fields. Machine vision offers an effective means to detect weeds accurately. For… read more here.
Keywords: detection; weed detection; detection images; carrot fields ... See more keywords
Evaluating Cross-Applicability of Weed Detection Models Across Different Crops in Similar Production Environments
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.837726
Abstract: Convolutional neural networks (CNNs) have revolutionized the weed detection process with tremendous improvements in precision and accuracy. However, training these models is time-consuming and computationally demanding; thus, training weed detection models for every crop-weed environment… read more here.
Keywords: crop; applicability weed; weed detection; detection ... See more keywords
Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1096802
Abstract: Deep learning methods for weed detection typically focus on distinguishing weed species, but a variety of weed species with comparable plant morphological characteristics may be found in turfgrass. Thus, it is difficult for deep learning… read more here.
Keywords: neural networks; convolutional neural; weed detection; detection ... See more keywords
Performance evaluation of semi-supervised learning frameworks for multi-class weed detection
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1396568
Abstract: Precision weed management (PWM), driven by machine vision and deep learning (DL) advancements, not only enhances agricultural product quality and optimizes crop yield but also provides a sustainable alternative to herbicide use. However, existing DL-based… read more here.
Keywords: detection; semi supervised; weed detection; supervised learning ... See more keywords
Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm
Sign Up to like & getrecommendations! Published in 2021 at "Agriculture"
DOI: 10.3390/agriculture11050387
Abstract: This paper explores the potential of machine learning algorithms for weed and crop classification from UAV images. The identification of weeds in crops is a challenging task that has been addressed through orthomosaicing of images,… read more here.
Keywords: uav images; machine; weed detection; machine learning ... See more keywords
Analysis of the Impact of Different Improvement Methods Based on YOLOV8 for Weed Detection
Sign Up to like & getrecommendations! Published in 2024 at "Agriculture"
DOI: 10.3390/agriculture14050674
Abstract: In response to the issues of missed detection, false positives, and low recognition rates for specific weed species during weed detection, a YOLOv8-based improved weed detection algorithm named EDS-YOLOv8 is proposed. Improvements were made in… read more here.
Keywords: detection; improvement; backbone network; map ... See more keywords
A Two-Stage Weed Detection and Localization Method for Lily Fields Targeting Laser Weeding
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15181967
Abstract: The cultivation of edible lilies is highly susceptible to weed infestation during its growth period, and the application of herbicides is often impractical, leading to the rampant growth of diverse weed species. Laser weeding, recognized… read more here.
Keywords: laser; method; laser weeding; stage ... See more keywords
A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields
Sign Up to like & getrecommendations! Published in 2024 at "Agronomy"
DOI: 10.3390/agronomy14123062
Abstract: To address the issue of the computational intensity and deployment difficulties associated with weed detection models, a lightweight target detection model for weeds based on YOLOv8s in maize fields was proposed in this study. Firstly,… read more here.
Keywords: detection; performance; model; network ... See more keywords
GE-YOLO for Weed Detection in Rice Paddy Fields
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15052823
Abstract: Weeds are a significant adverse factor affecting rice growth, and their efficient removal necessitates an accurate, efficient, and well-generalizing weed detection method. However, weed detection faces challenges such as a complex vegetation environment, the similar… read more here.
Keywords: detection; rice; detection rice; weed detection ... See more keywords