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A decision support system for tomato growers based on plant responses and energy consumption

(2014) Acta Horticulturae. p.501-508
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Abstract
The importance of plant water status for a good production and quality of tomato fruits (Solanum lycopersicum L.) has been emphasized by many authors. Currently, different new energy-saving technologies and growing strategies are under investigation to cope with the increasing fossil fuel prices. However, these technologies and growing strategies typically alter the greenhouse climate, thereby affecting the plants' response. Hence, the question arises how to adapt the microclimate to reduce the energy consumption of greenhouse tomato cultivation without compromising fruit yield or quality. Nowadays, the use of plant-based methods to steer the climate is of high interest and it was demonstrated that monitoring of stem diameter variations and fruit growth provides crucial information on both the plant water and carbon status. However, interpretation of these data is not straightforward and, hence, mechanistic modelling is necessary for an unambiguous interpretation of the dynamic plant response. During a 4-year research period, we investigated the response of different plant processes of tomato to dynamic microclimatic greenhouse conditions. The final aim was to develop a decision support system that helps growers to find an optimal balance between energy consumption, plant response and fruit yield. To this end, an integrated plant model, including stem, leaves, roots and fruits, was developed in which the various plant processes are mechanistically described. The plant model was calibrated and extensively validated on datasets collected throughout the different growing seasons in different research facilities in Flanders. This plant model was finally integrated into an existing greenhouse climate model and validated with data from the greenhouse climate and energy consumption. After validation, this integrated model was used to run scenarios on growing strategies and their impact on energy consumption, plant photosynthesis and fruit growth.
Keywords
mechanistic modelling, Solanum lycopersicum, fruit growth, LVDT, greenhouse climate model, model calibration, model validation, energy, STEM DIAMETER VARIATIONS, MODEL-ASSISTED ANALYSIS, FRUIT-GROWTH, SAP FLOW, WATER, DEFICIT, CARBON

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MLA
Hanssens, Jochen, et al. “A Decision Support System for Tomato Growers Based on Plant Responses and Energy Consumption.” Acta Horticulturae, edited by Jung Eek Son et al., International Society for Horticultural Science (ISHS), 2014, pp. 501–08.
APA
Hanssens, J., De Swaef, T., Pinxteren, D., Marien, H., Wittemans, L., Desmedt, J., & Steppe, K. (2014). A decision support system for tomato growers based on plant responses and energy consumption. In J. E. Son, I. B. Lee, & M. M. Oh (Eds.), Acta Horticulturae (pp. 501–508). Leuven, Belgium: International Society for Horticultural Science (ISHS).
Chicago author-date
Hanssens, Jochen, Tom De Swaef, Dave Pinxteren, Herman Marien, Lieve Wittemans, Johan Desmedt, and Kathy Steppe. 2014. “A Decision Support System for Tomato Growers Based on Plant Responses and Energy Consumption.” In Acta Horticulturae, edited by Jung Eek Son, In Bok Lee, and Myung Min Oh, 501–8. Leuven, Belgium: International Society for Horticultural Science (ISHS).
Chicago author-date (all authors)
Hanssens, Jochen, Tom De Swaef, Dave Pinxteren, Herman Marien, Lieve Wittemans, Johan Desmedt, and Kathy Steppe. 2014. “A Decision Support System for Tomato Growers Based on Plant Responses and Energy Consumption.” In Acta Horticulturae, ed by. Jung Eek Son, In Bok Lee, and Myung Min Oh, 501–508. Leuven, Belgium: International Society for Horticultural Science (ISHS).
Vancouver
1.
Hanssens J, De Swaef T, Pinxteren D, Marien H, Wittemans L, Desmedt J, et al. A decision support system for tomato growers based on plant responses and energy consumption. In: Son JE, Lee IB, Oh MM, editors. Acta Horticulturae. Leuven, Belgium: International Society for Horticultural Science (ISHS); 2014. p. 501–8.
IEEE
[1]
J. Hanssens et al., “A decision support system for tomato growers based on plant responses and energy consumption,” in Acta Horticulturae, Jeju, South Korea, 2014, pp. 501–508.
@inproceedings{4430618,
  abstract     = {The importance of plant water status for a good production and quality of tomato fruits (Solanum lycopersicum L.) has been emphasized by many authors. Currently, different new energy-saving technologies and growing strategies are under investigation to cope with the increasing fossil fuel prices. However, these technologies and growing strategies typically alter the greenhouse climate, thereby affecting the plants' response. Hence, the question arises how to adapt the microclimate to reduce the energy consumption of greenhouse tomato cultivation without compromising fruit yield or quality. Nowadays, the use of plant-based methods to steer the climate is of high interest and it was demonstrated that monitoring of stem diameter variations and fruit growth provides crucial information on both the plant water and carbon status. However, interpretation of these data is not straightforward and, hence, mechanistic modelling is necessary for an unambiguous interpretation of the dynamic plant response. During a 4-year research period, we investigated the response of different plant processes of tomato to dynamic microclimatic greenhouse conditions. The final aim was to develop a decision support system that helps growers to find an optimal balance between energy consumption, plant response and fruit yield. To this end, an integrated plant model, including stem, leaves, roots and fruits, was developed in which the various plant processes are mechanistically described. The plant model was calibrated and extensively validated on datasets collected throughout the different growing seasons in different research facilities in Flanders. This plant model was finally integrated into an existing greenhouse climate model and validated with data from the greenhouse climate and energy consumption. After validation, this integrated model was used to run scenarios on growing strategies and their impact on energy consumption, plant photosynthesis and fruit growth.},
  author       = {Hanssens, Jochen and De Swaef, Tom and Pinxteren, Dave and Marien, Herman and Wittemans, Lieve and Desmedt, Johan and Steppe, Kathy},
  booktitle    = {Acta Horticulturae},
  editor       = {Son, Jung Eek and Lee, In Bok and Oh, Myung Min},
  isbn         = {9789462610248},
  issn         = {0567-7572},
  keywords     = {mechanistic modelling,Solanum lycopersicum,fruit growth,LVDT,greenhouse climate model,model calibration,model validation,energy,STEM DIAMETER VARIATIONS,MODEL-ASSISTED ANALYSIS,FRUIT-GROWTH,SAP FLOW,WATER,DEFICIT,CARBON},
  language     = {eng},
  location     = {Jeju, South Korea},
  pages        = {501--508},
  publisher    = {International Society for Horticultural Science (ISHS)},
  title        = {A decision support system for tomato growers based on plant responses and energy consumption},
  url          = {http://www.actahort.org/books/1037/1037_62.htm},
  year         = {2014},
}

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