An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth

no code implementations • 7 Dec 2020 • Bashar Alhnaity, Stefanos Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson

Finally, a recurrent neural network including LSTM and an attention mechanism is proposed for modelling long-term dependencies in the time series data.

Time Series Time Series Analysis

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments

no code implementations • 1 Jul 2019 • Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos Kollias

Effective plant growth and yield prediction is an essential task for greenhouse growers and for agriculture in general.

regression