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
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