Esta é uma versão desatualizada publicada em 11/12/2023. Leia a versão mais recente.
Preprint / Versão 1

Dataset of tomato plants growth observations obtained from multiple sources in a production-like setting

article.authors6a20409a79d6f

DOI:

https://doi.org/10.1590/SciELOPreprints.7667

Palavras-chave:

computer vision, Protected growth, Image segmentation, Greenhouse, Digital agriculture

Resumo

This dataset contains observations of tomato growth in a production-like setting, at research greenhouses. Two plants in each of three growth cycles were continuously monitored and pictures were taken every other day from above and from a side view while a weighting system was used to record changes in weight of plant and water in the substrate. Other plants in the environment were subjected to destructive analysis in general every two weeks to quantify aspects of growth that required destructive measurements, such as dry weight and plant leaf area, and these records are also included in the dataset, including the scans of digitized leaves. Plant samples destined to destructive measurements also had their pictures taken before removal. In total, 618 photos of monitored and removed plants were annotated, and masks of leaf, fruit and mature fruit are also provided. The dataset also includes measurements of photosynthetically active radiation and air temperature recorded inside the greenhouses by two sets of different sensors during the growth cycles. The dataset allows for applications regarding growth monitoring and computer vision tasks.

Downloads

Os dados de download ainda não estão disponíveis.

Postado

11/12/2023

Versões

Como Citar

Dataset of tomato plants growth observations obtained from multiple sources in a production-like setting. (2023). Em SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.7667

Série

Ciências Agrárias

Dados de financiamento

Plaudit

Declaração de dados