1. Introduction
  - Importance of predicting crop yields for agricultural decision-making
  - Objectives of the study
2. Agroecosystem modeling principles
  - Overview of agroecosystem modeling approaches
  - Factors influencing crop yield predictions
3. Model development and validation
  - Selection of agroecosystem model(s) for the study
  - Calibration and validation of the model(s) using field data
4. Predicting crop yields under varying environmental conditions
  - Simulation of crop yields under different climate scenarios
  - Assessment of the impacts of soil and water management on crop productivity
5. Applications of agroecosystem modeling in decision-making
  - Use of model predictions for optimizing crop management practices
  - Potential for using models in climate change adaptation strategies