Abstract
Crop growth modeling is an important aspect of facility horticulture. Due to the imperfect structural and poor environmental control capabilities of most solar greenhouses, tomato growth in solar greenhouses in the winter half-year often occurs under unsuitable environmental conditions that do not facilitate tomato growth. However, existing crop growth models are difficult to apply to crop growth in solar greenhouses in China because suitable environmental factors are used as the main parameters in these models. The real-time tomato measurement system developed was used to measure the real-time growth of tomato plants. Combined with environmental data. A tomato growth model, an aboveground organ allocation model and conversion coefficient model between fresh weight and dry weight of tomato plants based on real-time tomato weight that are able to overcome the influence of environmental stress were established. The results of this study lay the foundation for appropriate management and fertilization in solar greenhouses.
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Sun, S., Wang, X., Xu, J., Fu, H., & Sun, Z. (2021). Study of tomato growth weight-distribution model based on real-time plant weight in a solar greenhouse. Journal of Taibah University for Science, 15(1), 1027–1037. https://doi.org/10.1080/16583655.2021.2014690
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