A Lightweight Deep Learning Framework for Long-Term Weather Forecasting in Olive Precision Agriculture

In this paper, a lightweight deep learning-based time series forecasting model is developed to predict the daily temperature values for one year ahead. The predictive model is an encoder-decoder model with a single LSTM layer for each of the encoder and decoder. Unlike the existing literature of time series forecasting, the proposed framework is designed to be lightweight to be deployed on low-com...