Steps of Modelling
9 output analysis
10 Report on Model
Analysis problem
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Steps of Modelling: Principles, Applications, and Limitations in Agricultural Systems, Study notes of Geography
The steps involved in modelling, focusing on agricultural systems. It covers principles such as simplicity, learning from past experiences, and creating conceptual models. The document also discusses the use of modelling as a research tool, the optimization of agricultural inputs, and policy analysis. It highlights the importance of considering best management practices, yield costing, and sustainable agriculture. The document also mentions the limitations of modelling, including interaction, reality, and knowledge, and the need for calibration, validation, and model verification.
What you will learn
- How can modelling be used in agricultural systems?
- How can modelling be used for policy analysis in agriculture?
- What are the limitations of modelling in agricultural systems?
- What are the best management practices in agricultural modelling?
- What are the principles of successful simulation in modelling?
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2019/2020
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Steps of Modelling
9 output analysis 10 Report on Model Analysis problem
- (^) Dodel design solution
- (^) Results and conclusion
- (^) Recomandations
- (^) Separate Data from software
- (^) Trust your creative juice/s
- (^) Fit to the universal constraints
- (^) Distill your own principles
Modelling of Agricultural systems
- (^) Complexity
- (^) Models in Agriculture---corelation regression
- (^) Mathes …
Optimisation --- Ag inputs
- (^) Algorithm
- (^) Optimisiong
- (^) Crop models------- forage harvest, whole plant wwater plant
- (^) Soyabean, cotton
- (^) Slam spice,cottam
Uses and limitations
- (^) Model use
- (^) Research tool
- (^) Research understanding
- (^) Integration knowledge across disciplines
- (^) Improvement in documentation
- (^) Genetic improvement
- (^) Yield analysis--canegro
Policy analysis
- (^) Best management practices
- (^) Yield forcosting
- (^) Introduction of new crop[[[[[[[[===============
- (^) global climate chanage
- (^) Co2 warming
Limitations
- (^) Interaction
- (^) Reality
- (^) Knowledge
- (^) Degree of subject=== model quality
- (^) New situation---calibration, validation, model verification
- (^) Mechanistic model
- (^) Meterological data --- required most models
STCT--- soil T and Crop resp
- (^) Sustainable Agriculture
- (^) Coorelation studies—IARI--
- (^) ( soil fertility, Fertilizer added/applied., OM—Fertilizerue and efficiency---2000 trials—
- (^) Fertilizer use and efficiency… increased..
- (^) Objective--- recomand ferts—agroclimatic zones--- desired yield level