Evidence map›Paper›PMID 37353530›Full record

ArticleScientific reports2023

Deep learning supported machine vision system to precisely automate the wild blueberry harvester header.

Zeeshan Haydar, Travis J Esau, Aitazaz A Farooque, Qamar U Zaman, Patrick J Hennessy, Kuljeet Singh, Farhat Abbas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Zeeshan HaydarFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE, Canada.
Travis J EsauDepartment of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS, Canada.
Aitazaz A FarooqueFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE, Canada. afarooque@upei.ca.
Qamar U ZamanDepartment of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS, Canada.
Patrick J HennessyDepartment of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS, Canada.
Kuljeet SinghFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE, Canada.
Farhat AbbasCollege of Engineering Technology, University of Doha for Science and Technology, P.O. Box 24449, Doha, Qatar.
Dalhousie University · CAUniversity of Prince Edward Island · CAQatar Science and Technology Park · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An operator of a wild blueberry harvester faces the fatigue of manually adjusting the height of the harvester's head, considering spatial variations in plant height, fruit zone, and field topography affecting fruit yield. For stress-free harvesting of wild blueberries, a deep learning-supported machine vision control system has been developed to detect the fruit height and precisely auto-adjust the header picking teeth rake position. The OpenCV AI Kit (OAK-D) was used with YOLOv4-tiny deep learning model with code developed in Python to solve the challenge of matching fruit heights with the harvester's head position. The system accuracy was statistically evaluated with R

Indexed as

Blueberry PlantsDeep LearningMarijuana AbuseFatigueFruit

Identifiers

PMID37353530
PMCPMC10290139
OpenAlexW4381805706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.