Im relatively new to machine learning. I have a dataset in which I would like to predict on. I work with plants. In my case I have measurements of predictor variables over time (plant height, plant reflectance, etc) and would like to predict yield of that crops. Yield (my response) only has one measurement. All the time series models I have seen have response variable measurements over time, which I do not in my experiment (not possible). That being said, is there a model then that could learn the pattern of my predictor variables over time to predict my one response variable (yield)?

Thank you, -TP



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