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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
IEEE DataPort™
Dataset . 2025
License: CC BY
Data sources: Datacite
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Pleurotus Mushroom Dataset

Authors: Moysiadis, Vasileios; Chaschatzis, Christos; Triantafyllou, Anna; Liatifis, Athanasios; Siniosoglou, Ilias; Kelly, Vicky; KARAISKOU, CHRYSOULA; +9 Authors

Pleurotus Mushroom Dataset

Abstract

This dataset comprises two independent datasets related to Pleurotus mushrooms, designed to monitor their growth and determine when they are ready for harvest. The data were collected from a greenhouse in Grevena, Greece, during July and August 2022. The first dataset, “Mushroom Harvest” was annotated under the guidance of an expert agriculturist and categorizes mushroom growth into three distinct classes. This dataset is intended to identify mushrooms that are ready for harvest. The second dataset, “Mushroom Growth”, consists of a series of photos taken from 33 different substrate grow bags for seven different days. This dataset is suitable for monitoring the growth rate of mushrooms and determining when they are ready for harvest. This research was cofunded by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Western Macedonia 2014–2020, under the call “Collaborative and networking actions between research institutions, educational institutions and companies in priority areas of the strategic smart specialization plan of the region”, project “Smart Mushroom fARming with internet of Things—SMART”, project code: DMR-0016521.

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Keywords

Mushroom, Machine Learning, Harvest, Growth, Pleurotus

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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