I have a dataset of crop yield in 15 years. For each year I have around 5000 samples of classification data. I want to apply RNN to make a prediction in such a way that when I feed the features the crop it predicts also takes into account the previous years. I applied simple ANN to each year and soon will apply RNN to it but since the data will have 12 samples i don't know what to do. Can you give a basic idea how i should approach the problem?
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