Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

In recent years, national economies are highly affected by crop yield predictions. By early prediction, the market price can be predicted, importing, and exporting plan can be provided, social, and economic effects of waste products can be minimized, and a program can be presented for humanitarian f...

Full description

Bibliographic Details
Main Authors: Seyed Mahdi Mirhoseini Nejad, Dariush Abbasi-Moghadam, Alireza Sharifi, Nizom Farmonov, Khilola Amankulova, Mucsi Laszlz
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3D-CNN
ConvLSTM
forecasting
LSTM attention
skip connection
Online Access:https://ieeexplore.ieee.org/document/9956008/

Internet

https://ieeexplore.ieee.org/document/9956008/

Similar Items