Build a python-based Bayesian model to be implemented on map data

I need some help on an agricultural decision-making project which needs a Bayesian model implementation. The indications given by various indicators need to be fed as the input of the Bayesian model and a final decision need to be taken by the Bayesian model accordingly. The data is in map form with 1m spatial resolution. You might get a better idea when you will see the data yourself. I want to discuss this with you so that we can go ahead accordingly. Budget can be decided based on our discussion.

I am attaching a few input files for example.

Please let me know if we can have a discussion on this.

Skills: Python, Statistics, Machine Learning (ML), Statistical Analysis

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Project ID: #27908518