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Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato

This article presents a set of photosynthetic responses and related environmental variables from greenhouse tomato plants (Lycopersicum esculentum). The dataset was obtained by direct in situ measurement of functional leaves of 100 different plants with a portable photosynthesis system. The measurem...

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Autores principales: Manjarrez-Sanchez, Jorge, Martinez-Carrillo, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494668/
https://www.ncbi.nlm.nih.gov/pubmed/32984468
http://dx.doi.org/10.1016/j.dib.2020.106274
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author Manjarrez-Sanchez, Jorge
Martinez-Carrillo, Gerardo
author_facet Manjarrez-Sanchez, Jorge
Martinez-Carrillo, Gerardo
author_sort Manjarrez-Sanchez, Jorge
collection PubMed
description This article presents a set of photosynthetic responses and related environmental variables from greenhouse tomato plants (Lycopersicum esculentum). The dataset was obtained by direct in situ measurement of functional leaves of 100 different plants with a portable photosynthesis system. The measurements were taken for six hours at different time intervals in 16 different days during the cycle of November 2019 to January 2020. This dataset can be used to understand the physiology of greenhouse tomato plants and for the design of photosynthesis forecasting models. It is also useful in precision agriculture and for designing automatic controllers for optimal temperature, humidity, and CO(2) enrichment, with the purpose of maximizing productivity and avoiding waste of resources. Additionally, this dataset can be used for research in time series analysis.
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spelling pubmed-74946682020-09-24 Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato Manjarrez-Sanchez, Jorge Martinez-Carrillo, Gerardo Data Brief Data Article This article presents a set of photosynthetic responses and related environmental variables from greenhouse tomato plants (Lycopersicum esculentum). The dataset was obtained by direct in situ measurement of functional leaves of 100 different plants with a portable photosynthesis system. The measurements were taken for six hours at different time intervals in 16 different days during the cycle of November 2019 to January 2020. This dataset can be used to understand the physiology of greenhouse tomato plants and for the design of photosynthesis forecasting models. It is also useful in precision agriculture and for designing automatic controllers for optimal temperature, humidity, and CO(2) enrichment, with the purpose of maximizing productivity and avoiding waste of resources. Additionally, this dataset can be used for research in time series analysis. Elsevier 2020-09-03 /pmc/articles/PMC7494668/ /pubmed/32984468 http://dx.doi.org/10.1016/j.dib.2020.106274 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Manjarrez-Sanchez, Jorge
Martinez-Carrillo, Gerardo
Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title_full Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title_fullStr Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title_full_unstemmed Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title_short Dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
title_sort dataset of photosynthesis and photosynthetic factors measurements of greenhouse tomato
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494668/
https://www.ncbi.nlm.nih.gov/pubmed/32984468
http://dx.doi.org/10.1016/j.dib.2020.106274
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