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Bioeconomic evaluation of extended season and year-round tomato production in Norway using supplemental light

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Listed:
  • Naseer, Muhammad
  • Persson, Tomas
  • Righini, Isabela
  • Stanghellini, Cecilia
  • Maessen, Henk
  • Ruoff, Peter
  • Verheul, Michel J.

Abstract

For high latitude countries like Norway, one of the biggest challenges associated with greenhouse production is the limited availability of natural light and heat, particularly in winters. This can be addressed by changes in greenhouse design elements including energy saving equipment and supplemental lighting, which, however, also can have a huge impact on investments, economic performance, resources used and environmental consequences of the production.

Suggested Citation

  • Naseer, Muhammad & Persson, Tomas & Righini, Isabela & Stanghellini, Cecilia & Maessen, Henk & Ruoff, Peter & Verheul, Michel J., 2022. "Bioeconomic evaluation of extended season and year-round tomato production in Norway using supplemental light," Agricultural Systems, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:agisys:v:198:y:2022:i:c:s0308521x22000270
    DOI: 10.1016/j.agsy.2022.103391
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    References listed on IDEAS

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    1. Singh, R.D. & Tiwari, G.N., 2010. "Energy conservation in the greenhouse system: A steady state analysis," Energy, Elsevier, vol. 35(6), pages 2367-2373.
    2. Mehdi Mahdavian & Naruemon Wattanapongsakorn, 2017. "Optimizing Greenhouse Lighting for Advanced Agriculture Based on Real Time Electricity Market Price," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, February.
    3. Rohani, Abbas & Taki, Morteza & Abdollahpour, Masoumeh, 2018. "A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)," Renewable Energy, Elsevier, vol. 115(C), pages 411-422.
    4. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    5. Anthony Lamb & Rhys Green & Ian Bateman & Mark Broadmeadow & Toby Bruce & Jennifer Burney & Pete Carey & David Chadwick & Ellie Crane & Rob Field & Keith Goulding & Howard Griffiths & Astley Hastings , 2016. "The potential for land sparing to offset greenhouse gas emissions from agriculture," Nature Climate Change, Nature, vol. 6(5), pages 488-492, May.
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    Cited by:

    1. Min, Xinyuan & Sok, Jaap & de Zwart, Feije & Oude Lansink, Alfons, 2024. "Multi-stakeholder multi-objective greenhouse design optimization," Agricultural Systems, Elsevier, vol. 215(C).

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