Hybrid Deep Learning-based Models for Crop Yield Prediction

Hybrid Deep Learning-based Models for Crop Yield Prediction

<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved. In this study, we developed deep lear...

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Bibliographic Details
Main Author: Alexandros Oikonomidis (12050497) (author)
Other Authors: Cagatay Catal (6897842) (author), Ayalew Kassahun (8849540) (author)
Published: 2022
Subjects:
Information and computing sciences
Artificial intelligence
Crop Yield Prediction
Hybrid Deep Learning-based Models
Convolutional Neural Networks (CNN)
Deep Neural Networks (DNN)
CNN-XGBoost
Recurrent Neural Networks (RNN)
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