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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Alexandros Oikonomidis (12050497) (author)
مؤلفون آخرون:	Cagatay Catal (6897842) (author), Ayalew Kassahun (8849540) (author)
منشور في:	2022
الموضوعات:	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)
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Hybrid Deep Learning-based Models for Crop Yield Prediction

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