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...

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Autori principali:	Seyed Mahdi Mirhoseini Nejad, Dariush Abbasi-Moghadam, Alireza Sharifi, Nizom Farmonov, Khilola Amankulova, Mucsi Laszlz
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2023-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	3D-CNN ConvLSTM forecasting LSTM attention skip connection
Accesso online:	https://ieeexplore.ieee.org/document/9956008/
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