DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease

The classification and recognition of foliar diseases is an increasingly developing field of research, where the concepts of machine and deep learning are used to support agricultural stakeholders. Datasets are the fuel for the development of these technologies. In this paper, we release and make pu...

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Autores principales:	Gianni Fenu, Francesca Maridina Malloci
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	plant disease prediction classification detection dataset survey machine learning Agriculture S
Acceso en línea:	https://doaj.org/article/cc9df08eb9824d2c8bd939f50e5d4815
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id	oai:doaj.org-article:cc9df08eb9824d2c8bd939f50e5d4815
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spelling	oai:doaj.org-article:cc9df08eb9824d2c8bd939f50e5d48152021-11-25T16:02:48ZDiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease10.3390/agronomy111121072073-4395https://doaj.org/article/cc9df08eb9824d2c8bd939f50e5d48152021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2107https://doaj.org/toc/2073-4395The classification and recognition of foliar diseases is an increasingly developing field of research, where the concepts of machine and deep learning are used to support agricultural stakeholders. Datasets are the fuel for the development of these technologies. In this paper, we release and make publicly available the field dataset collected to diagnose and monitor plant symptoms, called DiaMOS Plant, consisting of 3505 images of pear fruit and leaves affected by four diseases. In addition, we perform a comparative analysis of existing literature datasets designed for the classification and recognition of leaf diseases, highlighting the main features that maximize the value and information content of the collected data. This study provides guidelines that will be useful to the research community in the context of the selection and construction of datasets.Gianni FenuFrancesca Maridina MallociMDPI AGarticleplant disease predictionclassificationdetectiondatasetsurveymachine learningAgricultureSENAgronomy, Vol 11, Iss 2107, p 2107 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	plant disease prediction classification detection dataset survey machine learning Agriculture S
spellingShingle	plant disease prediction classification detection dataset survey machine learning Agriculture S Gianni Fenu Francesca Maridina Malloci DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
description	The classification and recognition of foliar diseases is an increasingly developing field of research, where the concepts of machine and deep learning are used to support agricultural stakeholders. Datasets are the fuel for the development of these technologies. In this paper, we release and make publicly available the field dataset collected to diagnose and monitor plant symptoms, called DiaMOS Plant, consisting of 3505 images of pear fruit and leaves affected by four diseases. In addition, we perform a comparative analysis of existing literature datasets designed for the classification and recognition of leaf diseases, highlighting the main features that maximize the value and information content of the collected data. This study provides guidelines that will be useful to the research community in the context of the selection and construction of datasets.
format	article
author	Gianni Fenu Francesca Maridina Malloci
author_facet	Gianni Fenu Francesca Maridina Malloci
author_sort	Gianni Fenu
title	DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
title_short	DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
title_full	DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
title_fullStr	DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
title_full_unstemmed	DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease
title_sort	diamos plant: a dataset for diagnosis and monitoring plant disease
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cc9df08eb9824d2c8bd939f50e5d4815
work_keys_str_mv	AT giannifenu diamosplantadatasetfordiagnosisandmonitoringplantdisease AT francescamaridinamalloci diamosplantadatasetfordiagnosisandmonitoringplantdisease
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DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease

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