Hybrid Deep Learning-based Models for Crop Yield Prediction
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 learning-based models to evaluate...
Main Authors: | Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
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Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2022.2031823 |
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