Tomato plants’ growth observations obtained from multiple sources in a production-like setting

Abstract

This dataset contains observations of tomato growth in a production-like setting, at research greenhouses. Two tomato plants in each of three growth cycles were continuously monitored: 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 the plant and of water in the substrate. Additionally, 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. 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 areas in pictures are also provided. The dataset also includes measurements of photosynthetically active radiation and air temperature recorded inside the greenhouses by two different sets of sensors during the growth cycles. The dataset allows for applications regarding growth monitoring, simulation modeling, and computer vision tasks.