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...

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Bibliographic Details
Main Authors: Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2022.2031823

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