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Related Experiment Videos

Modelling soil productivity and pollution.

D J Greenwood1, A Walker

  • 1AFRC Institute of Horticultural Research, Wellesbourne, Warwick, U.K.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 29, 1990
PubMed
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Predictive models for soil and plant processes offer significant benefits for agriculture worldwide. These models aid in optimizing agronomic practices, preventing land-use disasters, and reducing environmental pollution.

Area of Science:

  • Agricultural Science
  • Environmental Science
  • Soil Science

Background:

  • Predictive models for soil and plant processes offer substantial benefits for both developing and developed nations.
  • These models can enhance agronomic practices, mitigate land-use change disasters, minimize waste and pollution, and inform legislation.

Purpose of the Study:

  • To review recent advances in predictive modeling for soil and plant processes.
  • To highlight the practical applications and potential of these models in agriculture and environmental management.

Main Methods:

  • Analysis of relationships between national yields and factors like fertilizer application.
  • Application of physical and chemical laws to predict chemical and water behavior in soil.
  • Development and utilization of semi-empirical quantitative relations for soil and plant processes.

Related Experiment Videos

  • Formulation and application of computer models for field scenarios.

    • Main Results:

    • Strong correlations exist between average national yields and single factors like fertilizer application.
    • Rigorous deduction from physical and chemical laws yields predictive equations for soil chemical and water behavior.
    • Widely applicable quantitative relations for key soil and plant processes have been identified.
    • Computer models are being formulated and used for practical field situations.

    Conclusions:

    • Predictive models are crucial for advancing sustainable agriculture and environmental stewardship.
    • There is a critical need to translate research outcomes into practical, widely applicable tools for end-users.
    • Further development and dissemination of these models can significantly improve agricultural efficiency and environmental protection.