Crop yield model has been a big leap in remote sensing and understanding the crop health. By understanding the crop health, we can relate yield accordingly. Different crop yielding models have been built to justify their results; all of the models go through a rigid process of testing. The yield of every model is not a proper result but an estimate, which is accurate enough to plan further. The majority of the models rely on NDVI or a vegetation index to work with. In this chapter, we are going to work with a crop model to calculate the yield of the state of Indiana. The yield is to be calculated of corn and soybeans of the year 2023. The model used in the chapter was a predefined model that was used for the state of Illinois, and now further we will check its accuracy on the state of Indiana. The output of the model was 224 bushels minimum, whereas the average was 204 bushels for the corn for the year 2023 (August). The output for the corn was highest with 56 bushels per acre, while the initial yield was 61 bushels per acre. The model does give us an insight into the yield that is to be procured. But we should generally consider it as an estimate but not the initial result of the harvest.