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About CWM Lecture Notes
This document provides an overview of different types of crop weather modeling approaches. It discusses statistical models, dynamic simulation models, mechanistic process models, operational models, and systems analysis models. The key types are: - Statistical models use long-term data to develop regression functions between variables like rainfall and yield, but these often fail in individual years due to weather variability. - Dynamic simulation models compute daily crop growth values using relationships between growth parameters and environmental conditions. - Mechanistic process models provide detailed descriptions of biological and physiological processes influencing growth. - Operational models simulate growth for field operations using empirical or mathematical relationships depending on data availability.
Detailed Information
| Author: | ['Ashish Sonawane'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 223 |
| Language: | English |
| Format: | |
| Price: | FREE |
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