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Crop monitoring by means of an on-line early warning system

(2006) Acta Horticulturae. 718. p.183-188
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Abstract
Modern horticulture is driven by quality and yield, which are highly dependent on plant health status. Today the grower can only react and intervene when symptoms become visible but in most cases with already irrecoverable damage. The challenge is to monitor the plant's physiological status in a continuous way to anticipate unfavourable environmental conditions more rapidly. The objective of the reported research was to develop real-time mathematical algorithms to monitor plant stress as a basis for an on-line early-warning system. Truss tomato plants (Lycopersicon esculentum Mill. 'Clothilde') were cultivated inside two greenhouse compartments. During the growing season several severe and moderate stress conditions such as an increased and decreased indoor temperature were applied alternately in between the two compartments. In total 17 stress experiments were executed, duplicated over two compartments. The stress intensity was function of the outdoor climate and the duration of the applied stressor such that the achieved minimal indoor temperature ranged from 12.8 degrees C to 16 degrees C for the cold shock and the maximal indoor temperature ranged from 27.6 degrees C to 36.7 degrees C for the heat shock. Climate and plant variables were sampled every 20 seconds. Leaf temperature was measured as a plant response and was on-line modelled as function of climate variables with a black-box model approach. The plant health status was evaluated by the calculated steady state gain of the black box model. Depending on stress intensity and health status of the plant in combination with the environmental conditions changes in plant status could be detected, some minutes after stress situations were applied. Visible damage occurred hours later after the stress conditions were applied.
Keywords
black box, early warning, crop monitoring, Lycopersicon esculentum, phytomonitoring, speaking plant

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Citation

Please use this url to cite or link to this publication:

Chicago
Dekock, J, J-M Aerts, D Berkmans, Kristof Vermeulen, Kathy Steppe, Raoul Lemeur, K Janssen, P Bleyaert, J Westra, and T Rieswijk. 2006. “Crop Monitoring by Means of an On-line Early Warning System.” In Acta Horticulturae, ed. LFM Marcelis, G van Straten, C Stanghellini, and E Heuvelink, 718:183–188. Leuven, Belgium: International Society for Horticultural Science (ISHS).
APA
Dekock, J., Aerts, J.-M., Berkmans, D., Vermeulen, K., Steppe, K., Lemeur, R., Janssen, K., et al. (2006). Crop monitoring by means of an on-line early warning system. In L. Marcelis, G. van Straten, C. Stanghellini, & E. Heuvelink (Eds.), Acta Horticulturae (Vol. 718, pp. 183–188). Presented at the 3rd International symposium on Models for Plant Growth, Environmental Control and Farm Management in Protected Cultivation, Leuven, Belgium: International Society for Horticultural Science (ISHS).
Vancouver
1.
Dekock J, Aerts J-M, Berkmans D, Vermeulen K, Steppe K, Lemeur R, et al. Crop monitoring by means of an on-line early warning system. In: Marcelis L, van Straten G, Stanghellini C, Heuvelink E, editors. Acta Horticulturae. Leuven, Belgium: International Society for Horticultural Science (ISHS); 2006. p. 183–8.
MLA
Dekock, J, J-M Aerts, D Berkmans, et al. “Crop Monitoring by Means of an On-line Early Warning System.” Acta Horticulturae. Ed. LFM Marcelis et al. Vol. 718. Leuven, Belgium: International Society for Horticultural Science (ISHS), 2006. 183–188. Print.
@inproceedings{408047,
  abstract     = {Modern horticulture is driven by quality and yield, which are highly dependent on plant health status. Today the grower can only react and intervene when symptoms become visible but in most cases with already irrecoverable damage. The challenge is to monitor the plant's physiological status in a continuous way to anticipate unfavourable environmental conditions more rapidly. 
The objective of the reported research was to develop real-time mathematical algorithms to monitor plant stress as a basis for an on-line early-warning system. 
Truss tomato plants (Lycopersicon esculentum Mill. 'Clothilde') were cultivated inside two greenhouse compartments. During the growing season several severe and moderate stress conditions such as an increased and decreased indoor temperature were applied alternately in between the two compartments. In total 17 stress experiments were executed, duplicated over two compartments. The stress intensity was function of the outdoor climate and the duration of the applied stressor such that the achieved minimal indoor temperature ranged from 12.8 degrees C to 16 degrees C for the cold shock and the maximal indoor temperature ranged from 27.6 degrees C to 36.7 degrees C for the heat shock. Climate and plant variables were sampled every 20 seconds. 
Leaf temperature was measured as a plant response and was on-line modelled as function of climate variables with a black-box model approach. The plant health status was evaluated by the calculated steady state gain of the black box model. 
Depending on stress intensity and health status of the plant in combination with the environmental conditions changes in plant status could be detected, some minutes after stress situations were applied. Visible damage occurred hours later after the stress conditions were applied.},
  author       = {Dekock, J and Aerts, J-M and Berkmans, D and Vermeulen, Kristof and Steppe, Kathy and Lemeur, Raoul and Janssen, K and Bleyaert, P and Westra, J and Rieswijk, T},
  booktitle    = {Acta Horticulturae},
  editor       = {Marcelis, LFM and van Straten, G and Stanghellini, C and Heuvelink, E},
  isbn         = {9789066056091},
  issn         = {0567-7572},
  keyword      = {black box,early warning,crop monitoring,Lycopersicon esculentum,phytomonitoring,speaking plant},
  language     = {eng},
  location     = {Wageningen, The Netherlands},
  pages        = {183--188},
  publisher    = {International Society for Horticultural Science (ISHS)},
  title        = {Crop monitoring by means of an on-line early warning system},
  url          = {http://www.actahort.org/books/718/718\_20.htm},
  volume       = {718},
  year         = {2006},
}

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