Microgreens have a high nutrient density and are beneficial to human health. Even though this class of vegetables have gaining increasing levels of attention in the last year, scientific research on the growth of microgreens in controlled environments under artificial lighting have not been thoroughly characterized. By describing the scientific outputs focused on the impacts of artificial illumination on microgreens, especially from the first two decades of the 21st century, it is therefore possible to detect advancements and research gaps in this research field. This review is divided in two parts: first, a general overview of the scientific production about microgreens; second, a systematic review of scientific studies exploring artificial lighting on the production of microgreens. The overview of scientific production on microgreens and artificial lighting across the Scopus, Web of Science, and Scielo databases, from 2000 to 2021, respectively, indicated three phases, as before 2011 no paper was found: phase 1 (2012 to 2014), six papers; phase 2 (2015 to 2018), fifteen papers; and phase 3 (2019 to 2021), forty-six papers, respectively. Mustard was the most evaluated crop under all production stages. With regard to the second part of this review, studies on artificial lighting with fluorescent lamps (high-pressure sodium light bulbs—HPS), from the supplementation to the replacement of HPS lighting with light emitting diode (LED) lamps, and plant responses with respect to light properties comprise the main works identified. Studies on the distribution of environmental factors under controlled microgreen cultivation present research gaps.

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.