How to devlop a crop yield prediciton model? The tools, languages and libraries selected were Python, Flutter, Pycharm, Anaconda, Jupyter Notebook, Sckit-learn, Matplotlib and Pandas. Im not exactly sure how this selection of tools is used to create a crop predicition model because im just a beginner and is doing this as part of a project. I would highly appreciate it if someone can explain why each tool or library is used and an explanation how the implementation is done step by step.The goal of this model is to predict the best suited crops in a selelcted land area and the yield of that crop based on soil type, land size and maybe the weather. A dataset was also chosen. It would be really helpful if someone can give a detailed explanation of how each tool, language, framework and library is used to make the model and the entire detailed explanation of the implementation process.