Evidence map›Paper›PMID 37780278›Full record

ArticleFood chemistry: X2023

Predicting the optimum harvesting dates for different exotic apple varieties grown under North Western Himalayan regions through acoustic and machine vision techniques.

Nazrana Rafique Wani, Syed Zameer Hussain, Gopinath Bej, Bazila Naseer, Mushtaq Beigh, Ufaq Fayaz, Tamal Dey, Abhra Pal, Amitava Akuli, Alokesh Ghosh and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Smart agriculture in Asia.Plant communications · 2025
    Review
  3. Article
  4. 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

12 authors.

Nazrana Rafique WaniDivision of Food Science and Technology, Sher-e-Kashmir University of Agriculture Sciences and Technology of Kashmir, Shalimar 190025, India.
Syed Zameer HussainDivision of Food Science and Technology, Sher-e-Kashmir University of Agriculture Sciences and Technology of Kashmir, Shalimar 190025, India.
Gopinath BejCentre for Development of Advanced Computing (C-DAC), Kolkata, India.
Bazila NaseerDivision of Food Science and Technology, Sher-e-Kashmir University of Agriculture Sciences and Technology of Kashmir, Shalimar 190025, India.
Mushtaq BeighDivision of Food Science and Technology, Sher-e-Kashmir University of Agriculture Sciences and Technology of Kashmir, Shalimar 190025, India.
Ufaq FayazDivision of Food Science and Technology, Sher-e-Kashmir University of Agriculture Sciences and Technology of Kashmir, Shalimar 190025, India.
Tamal DeyCentre for Development of Advanced Computing (C-DAC), Kolkata, India.
Abhra PalCentre for Development of Advanced Computing (C-DAC), Kolkata, India.
Amitava AkuliCentre for Development of Advanced Computing (C-DAC), Kolkata, India.
Alokesh GhoshCentre for Development of Advanced Computing (C-DAC), Kolkata, India.
B S DhekaleDivision of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST) Kashmir, Shalimar 190025, India.
Fehim J WaniDivision of Agricultural Economics & Statistics, Faculty of Agriculture, Wadura, SKUAST-Kashmir, J&K, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acoustic system and machine vision were used to evaluate the effects of different harvest dates on the quality and sensory attributes of exotic apple varieties of North Western Himalayan.

Indexed as

ConsumptionCorrelationHarvest datesNon-destructiveVarieties

Identifiers

PMID37780278
PMCPMC10534115

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.