U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PubAg

Main content area

You searched for: Subject "vision" Remove constraint Subject: "vision"
Start Over

Search

5,963  Search Results

« Previous | 1 - 20 of 5,963 |
Number of results to display per page

Search Results

1. Optical and portable equipment for characterizing soil roughness

Author:
Bianca Batista Barreto; Elisângela Ribeiro; Fernando Pujaico Rivera; Roberto Alves Braga Junior; Bernardo Cândido; Blair McKenzie
Source:
Smart agricultural technology 2023 v.3 pp. 100062
ISSN:
2772-3755
Subject:
vision,   etc   ; barns; composts; lighting; optical equipment; portable equipment; roughness; soil; surface roughness;     Show all 9 Subjects
Abstract:
... Knowledge of surface roughness with the consequent presence of crust in the soil is important information for the rational management of environmental resources. Soil surface roughness can be determined by contact and noncontact methods. Contact methods have lower values and precision than noncontact methods. Therefore, the objective of this study was to develop low-cost, portable and robust optic ...
DOI:
10.1016/j.atech.2022.100062

2. Improving 3D food printing performance using computer vision and feedforward nozzle motion control

Author:
Yizhou Ma; Jelle Potappel; Aneesh Chauhan; Maarten A.I. Schutyser; Remko M. Boom; Lu Zhang
Source:
Journal of food engineering 2023 v.339 pp. 111277
ISSN:
0260-8774
Subject:
computer vision,   etc   ; computer software; control methods; cookies; dough; extrusion; printers; processed cheeses; white chocolate;     Show all 9 Subjects
Abstract:
... 3D food printing is an emerging technology to customize food designs and produce personalized foods. Food printing materials are diverse in rheological properties, which makes reliable extrusion-based 3D printing with constant printing parameters a challenge. Food printing often suffers from improper extrusion because of the varying elasticity of the food materials. In this study, a computer visio ...
DOI:
10.1016/j.jfoodeng.2022.111277

3. A customizable automated container-free multi-strip detection and line recognition system for colorimetric analysis with lateral flow immunoassay for lean meat powder based on machine vision and smartphone

Author:
Guanao Zhao; Sijie Liu; Guo Li; Wentai Fang; Yangjun Liao; Rui Li; Longsheng Fu; Jianlong Wang
Source:
Talanta 2023 v.253 pp. 123925
ISSN:
0039-9140
Subject:
computer vision,   etc   ; algorithms; automation; clenbuterol; color; colorimetry; food safety; immunoassays; lean meat; lighting; mobile telephones; ractopamine;     Show all 12 Subjects
Abstract:
... Ractopamine (RAC) and clenbuterol (CLE) are feed additives with adverse effects of consuming too much to food safety. It is necessary to develop an efficient and accurate colorimetric analysis method for immune-based detection of RAC and CLE. Traditional human-vision-based colorimetric analysis for lateral flow immunoassay (LFIA) is non-quantifiable and low-in-automation, while container-based and ...
DOI:
10.1016/j.talanta.2022.123925

4. Visualizing chemical indicators: Spatial and temporal quality formation and distribution during black tea fermentation

Author:
Yujie Wang; Zhengyu Ren; Yuyu Chen; Chengye Lu; Wei-Wei Deng; Zhengzhu Zhang; Jingming Ning
Source:
Food chemistry 2023 v.401 pp. 134090
ISSN:
0308-8146
Subject:
computer vision,   etc   ; beverage industry; black tea; cameras; color; fermentation; flavanols; food chemistry; least squares; prediction; theaflavins;     Show all 11 Subjects
Abstract:
... Fermentation is a key black tea processing step and makes an important contribution to quality formation. Current approaches to fermentation monitoring are costly or laboratory-based. Here, we first evaluated the potential of at-line computer vision for detecting fermentation quality in a tea factory. A self-built industrial camera was used to collect tea samples at various fermentation durations. ...
DOI:
10.1016/j.foodchem.2022.134090

5. Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning

Author:
Seyed Mohamad Javidan; Ahmad Banakar; Keyvan Asefpour Vakilian; Yiannis Ampatzidis
Source:
Smart agricultural technology 2023 v.3 pp. 100081
ISSN:
2772-3755
Subject:
computer vision,   etc   ; color; crop yield; disease diagnosis; grapes; leaf blight; leaves; measles; principal component analysis; product quality; support vector machines;     Show all 11 Subjects
Abstract:
... Plant diseases often reduce crop yield and product quality; therefore, plant disease diagnosis plays a vital role in farmers’ management decisions. Visual crop inspections by humans are time-consuming and challenging tasks and, practically, can only be performed in small areas at a given time, especially since many diseases have similar symptoms. An intelligent machine vision monitoring system for ...
DOI:
10.1016/j.atech.2022.100081

6. Semi-supervised machine learning analysis of crop color for autonomous irrigation

Author:
Arya Tschand
Source:
Smart agricultural technology 2023 v.3 pp. 100116
ISSN:
2772-3755
Subject:
computer vision,   etc   ; color; data collection; electronic circuits; infrastructure; irrigated farming; irrigation rates; irrigation systems; memory; people; raspberries; satellites; water flow; water shortages;     Show all 14 Subjects
Abstract:
... Agricultural irrigation wastage, especially from inefficient infrastructure in developing nations, is among the leading causes of the global water shortage epidemic, which affects an estimated 2.8 billion people worldwide. In this project, a three-component cloudless internet-of-things (IoT)-based irrigation network is designed and constructed to affordably integrate into existing irrigation infra ...
DOI:
10.1016/j.atech.2022.100116

7. Anti-angiogenic carbon nanovesicles loaded with bevacizumab for the treatment of age-related macular degeneration

Author:
Anisha Anand; Hong-Jyuan Jian; Hao-Hsin Huang; Li Er Hean; Yu-Jia Li; Jui-Yang Lai; Hung-Da Chou; Yu-Chuan Kang; Wei-Chi Wu; Chi-Chun Lai; Chih-Ching Huang; Huan-Tsung Chang
Source:
Carbon 2023 v.201 pp. 362-370
ISSN:
0008-6223
Subject:
vision,   etc   ; angiogenesis; antibodies; bioavailability; carbon; carbonization; cell proliferation; cost effectiveness; cytotoxicity; drugs; encapsulation; epithelium; macular degeneration; patients; rabbits; therapeutics; vascular endothelial growth factors;     Show all 17 Subjects
Abstract:
... Intraocular angiogenesis mediated by vascular endothelial growth factor (VEGF) and the related ocular disease, age-related macular degeneration (AMD), is the leading cause of loss of vision worldwide. Though anti-VEGF antibodies are used to control AMD, administration of high doses or frequent dosing, and poor ocular retention of the drug adversely affect the patient outcomes. Herein, we report th ...
DOI:
10.1016/j.carbon.2022.09.045

8. High-throughput phenotyping by deep learning to include body shape in the breeding program of pacu (Piaractus mesopotamicus)

Author:
Milena V. Freitas; Celma G. Lemos; Raquel B. Ariede; John F.G. Agudelo; Rubens R.O. Neto; Carolina H.S. Borges; Vito A. Mastrochirico-Filho; Fábio Porto-Foresti; Rogério L. Iope; Fabrício M. Batista; José R.F. Brega; Diogo T. Hashimoto
Source:
Aquaculture 2023 v.562 pp. 738847
ISSN:
0044-8486
Subject:
computer vision,   etc   ; Piaractus mesopotamicus; algorithms; aquaculture; condition factor; developmental stages; fish; fish farms; genetic selection; head; heritability; models; morphometry; morphs; pelvis; phenotype; prediction; weight gain;     Show all 18 Subjects
Abstract:
... Deep learning (DL) is a cutting-edge technology that enables high-throughput phenotyping in aquaculture. The routine application of DL offers new opportunities for the genetic selection of appearance traits, especially those related to body shape. The criteria currently used for the trait selection of commercial interest, such as rapid growth and weight gain, can directly influence the animal's ap ...
DOI:
10.1016/j.aquaculture.2022.738847

9. Applications of machine vision in agricultural robot navigation: A review

Author:
Tianhai Wang; Bin Chen; Zhenqian Zhang; Han Li; Man Zhang
Source:
Computers and electronics in agriculture 2022 v.198 pp. 107085
ISSN:
0168-1699
Subject:
computer vision; vision,   etc   ; agriculture; electronics;     Show all 4 Subjects
Abstract:
... Many tasks in smart agriculture have further requirements for the autonomous navigation of agricultural robots. Due to irreplaceable visual information and low-cost hardware costs, machine vision (MV) is widely used in agricultural robot navigation. This paper reviewed applications of MV in agricultural robot navigation. First, the advantages, disadvantages and roles of different vision sensors an ...
DOI:
10.1016/j.compag.2022.107085

10. Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV

Author:
Wanrun Li; Wenhai Zhao; Jiaze Gu; Boyuan Fan; Yongfeng Du
Source:
Remote Sensing 2022 v.14 no.13 pp. -
ISSN:
2072-4292
Subject:
computer vision; vision,   etc   ; algorithms; lighting; wind turbines;     Show all 5 Subjects
Abstract:
... The structural condition of blades is mainly evaluated using manual inspection methods. However, these methods are time-consuming, labor-intensive, and costly, and the detection results significantly depend on the experience of inspectors, often resulting in lower precision. Focusing on the dynamic characteristics (i.e., natural frequencies) of large wind turbine blades, this study proposes a moni ...
DOI:
10.3390/rs14133113

11. Low-cost stage-camera system for continuous water-level monitoring in ephemeral streams

Author:
Simone Noto; Flavia Tauro; Andrea Petroselli; Ciro Apollonio; Gianluca Botter; Salvatore Grimaldi
Source:
Hydrological sciences journal 2022 v.67 no.9 pp. 1439-1448
ISSN:
2150-3435
Subject:
computer vision; night vision,   etc   ; cameras; rain; water; wildlife;     Show all 6 Subjects
Abstract:
... Monitoring ephemeral and intermittent streams is a major challenge in hydrology. On-site inspections may be impractical in difficult-to-access environments. Motivated by the latest advancements in digital cameras and computer vision techniques, in this work, we describe the development and application of a stage-camera system to monitor the water level in ungauged headwater streams. The system enc ...
DOI:
10.1080/02626667.2022.2079415

12. Using social media photos and computer vision to assess cultural ecosystem services and landscape features in urban parks

Author:
Songyao Huai; Fen Chen; Song Liu; Frank Canters; Tim Van de Voorde
Source:
Ecosystem services 2022 v.57 pp. 101475
ISSN:
2212-0416
Subject:
computer vision; vision,   etc   ; automation; ecosystems; image analysis; landscapes; tourism; urban parks;     Show all 8 Subjects
Abstract:
... Urban parks are important public places that provide an opportunity for city dwellers to interact with nature. In recent years, social media data have become a promising data source for the assessment of cultural ecosystem services (CES) and landscape features in urban parks. However, it is a challenging task to identify and classify the CES and landscape features from social media photos by manua ...
DOI:
10.1016/j.ecoser.2022.101475

13. Positioning of Quadruped Robot Based on Tightly Coupled LiDAR Vision Inertial Odometer

Author:
Fangzheng Gao; Wenjun Tang; Jiacai Huang; Haiyang Chen
Source:
Remote Sensing 2022 v.14 no.12 pp. -
ISSN:
2072-4292
Subject:
binocular vision; vision,   etc   ; data collection; education; industry; lidar; models; system optimization;     Show all 8 Subjects
Abstract:
... Quadruped robots, an important class of unmanned aerial vehicles, have broad potential for applications in education, service, industry, military, and other fields. Their independent positioning plays a key role for completing assigned tasks in a complex environment. However, positioning based on global navigation satellite systems (GNSS) may result in GNSS jamming and quadruped robots not operati ...
DOI:
10.3390/rs14122945

14. A global community‐sourced assessment of the state of conservation technology

Author:
Talia Speaker; Stephanie O'Donnell; George Wittemyer; Brett Bruyere; Colby Loucks; Anthony Dancer; Marianne Carter; Eric Fegraus; Jonathan Palmer; Ellie Warren; Jennifer Solomon
Source:
Conservation biology 2022 v.36 no.3 pp. e13871
ISSN:
0888-8892
Subject:
computer vision; vision,   etc   ; environmental DNA; females; genomics; odds ratio; surveys; wildlife management;     Show all 8 Subjects
Abstract:
... Conservation technology holds the potential to vastly increase conservationists’ ability to understand and address critical environmental challenges, but systemic constraints appear to hamper its development and adoption. Understanding of these constraints and opportunities for advancement remains limited. We conducted a global online survey of 248 conservation technology users and developers to i ...
DOI:
10.1111/cobi.13871

15. Aroma-dillo or Area-dillo? An examination of armadillos’ sensory modality bias

Author:
Joy L. Vincent; Jennifer Vonk
Source:
Behavioural processes 2022 v.202 pp. 104751
ISSN:
0376-6357
Subject:
vision,   etc   ; odors; smell;     Show all 3 Subjects
Abstract:
... Many species of armadillo demonstrate impressive navigation abilities and may compensate for poor eyesight with a strong sense of smell. We examined which modality four three-banded armadillos and one hairy armadillo prioritized when two cues (olfactory or spatial) previously associated with reward were put in conflict. The armadillos learned to approach one of two locations - each paired with a d ...
DOI:
10.1016/j.beproc.2022.104751

16. Anisotropy in the peripheral visual field based on pupil response to the glare illusion

Author:
Novera Istiqomah; Yuta Suzuki; Yuya Kinzuka; Tetsuto Minami; Shigeki Nakauchi
Source:
Heliyon 2022 v.8 no.6 pp. e09772
ISSN:
2405-8440
Subject:
vision,   etc   ; anisotropy; cognition;     Show all 3 Subjects
Abstract:
... Visual-field (VF) anisotropy has been investigated in terms of spatial resolution of attention, spatial frequency, and semantic processing. Brightness perception has also been reported to vary between VFs. However, the influence of VF anisotropy on brightness perception using pupillometry has not been investigated. The present study measured participants' pupil size during glare illusion, in which ...
DOI:
10.1016/j.heliyon.2022.e09772

17. Migratable urban street scene sensing method based on vision language pre-trained model

Author:
Yan Zhang; Fan Zhang; Nengcheng Chen
Source:
International journal of applied earth observation and geoinformation 2022 v.113 pp. 102989
ISSN:
1569-8432
Subject:
computer vision; vision,   etc   ; data collection; humans; image analysis; land use; models; spatial data;     Show all 8 Subjects
Abstract:
... We propose a geographically reproducible approach to urban scene sensing based on large-scale pre-trained models. With the rise of GeoAI research, many high-quality urban observation datasets and deep learning models have emerged. However, geospatial heterogeneity makes these resources challenging to share and migrate to new application scenarios. This paper introduces vision language and semantic ...
DOI:
10.1016/j.jag.2022.102989

18. Biallelic Optic Atrophy 1 (OPA1) Related Disorder—Case Report and Literature Review

Author:
Bayan Al Othman; Jia Ern Ong; Alina V. Dumitrescu
Source:
Genes 2022 v.13 no.6 pp. -
ISSN:
2073-4425
Subject:
vision; vision disorders,   etc   ; atrophy; case studies; children; ganglia; genes; peripheral nervous system diseases; phenotype;     Show all 9 Subjects
Abstract:
... Dominant optic atrophy (DOA), MIM # 605290, is the most common hereditary optic neuropathy inherited in an autosomal dominant pattern. Clinically, it presents a progressive decrease in vision, central visual field defects, and retinal ganglion cell loss. A biallelic mode of inheritance causes syndromic DOA or Behr phenotype, MIM # 605290. This case report details a family with Biallelic Optic Atro ...
DOI:
10.3390/genes13061005

19. Building community knowledge, resilience and resistance through research

Author:
Martha Matsuoka; John Urquiza
Source:
GeoJournal 2022 v.87 no.Supplement 2 pp. 249-266
ISSN:
0343-2521
Subject:
vision,   etc   ; activists; case studies;     Show all 3 Subjects
Abstract:
... Skyrocketing housing costs in the U.S. have fueled research on gentrification, displacement, and neighborhood change, addressing how development processes impact low-income and working-class neighborhoods. Scholars have pointed to the importance of community-based knowledge in understanding the impact of gentrification at the neighborhood level (Chapple, Loukaitou-Sideris, Gonzalez, et al. 2017a; ...
DOI:
10.1007/s10708-021-10422-5

20. Drip-Tape-Following Approach Based on Machine Vision for a Two-Wheeled Robot Trailer in Strip Farming

Author:
Chung-Liang Chang; Hung-Wen Chen; Yung-Hsiang Chen; Chang-Chen Yu
Source:
Agriculture (Basel) 2022 v.12 no.3 pp. -
ISSN:
2077-0472
Subject:
computer vision,   etc   ; agriculture; color;     Show all 3 Subjects
Abstract:
... Due to the complex environment in the field, using machine vision technology to enable the robot to travel autonomously was a challenging task. This study investigates a method based on mathematical morphology and Hough transformation for drip tape following by a two-wheeled robot trailer. First, an image processing technique was utilized to extract the drip tape in the image, including the select ...
DOI:
10.3390/agriculture12030428