Automatic detection and counting of urediniospores of Puccinia striiformis f. sp. tritici using spore traps and image processing
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-31899-0
Abstract: The quantitative monitoring of airborne urediniospores of Puccinia striiformis f. sp. tritici (Pst) using spore trap devices in wheat fields is an important process for devising strategies early and effectively controlling wheat stripe rust. The… read more here.
Keywords: image; automatic detection; spore; detection counting ... See more keywords
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2782260
Abstract: Vehicle detection and counting in aerial images have become an interesting research focus since the last decade. It is important for a wide range of applications, such as urban planning and traffic management. However, this… read more here.
Keywords: neural network; vehicle; detection counting; aerial images ... See more keywords
FSSCaps-DetCountNet: fuzzy soft sets and CapsNet-based detection and counting network for monitoring animals from aerial images
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.026521
Abstract: Abstract. With the advances in remote sensing, wild animals sprawling over a vast area can be easily and quickly captured using low-cost unmanned aerial vehicle imagery. We propose an aerial animal detection and counting network… read more here.
Keywords: counting network; detection counting; fsscaps detcountnet; aerial images ... See more keywords
Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6106853
Abstract: UAV (unmanned aerial vehicle) captured images have small pedestrian targets and loss of key information after multiple down sampling, which are difficult to overcome by existing methods. We propose an improved YOLOv4 model for pedestrian… read more here.
Keywords: pedestrian detection; detection counting; counting uav; feature ... See more keywords
Vision-based vehicle detection and counting system using deep learning in highway scenes
Sign Up to like & getrecommendations! Published in 2019 at "European Transport Research Review"
DOI: 10.1186/s12544-019-0390-4
Abstract: Intelligent vehicle detection and counting are becoming increasingly important in the field of highway management. However, due to the different sizes of vehicles, their detection remains a challenge that directly affects the accuracy of vehicle… read more here.
Keywords: detection; vehicle; counting system; detection counting ... See more keywords
Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0248574
Abstract: The Dendrocephalus brasiliensis, a native species from South America, is a freshwater crustacean well explored in conservational and productive activities. Its main characteristics are its rusticity and resistance cysts production, in which the hatching requires… read more here.
Keywords: dbrasiliensis dataset; counting dendrocephalus; dendrocephalus brasiliensis; detection counting ... See more keywords
Detection and counting of pigment glands in cotton leaves using improved U-Net
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1075051
Abstract: Gossypol, as an important oil and raw material for feed, is mainly produced by cotton pigment gland, and has a wide range of applications in the fields of pharmaceutics, agriculture and industry. Accurate knowledge of… read more here.
Keywords: detection counting; cotton; pigment glands; cotton leaves ... See more keywords
Automatic Detection and Counting of Wheat Spikelet Using Semi-Automatic Labeling and Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.872555
Abstract: The number of wheat spikelets is an important phenotypic trait and can be used to assess the grain yield of the wheat crop. However, manual counting of spikelets is time-consuming and labor-intensive. To develop a… read more here.
Keywords: wheat spikelets; detection counting; wheat; automatic detection ... See more keywords