Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms von Farmonov, Nizom, Amankulova, Khilola, Szatmari, Jozsef, Sharifi, Alireza, Abbasi-Moghadam, Dariush, Mirhoseini Nejad, Seyed Mahdi, Mucsi, Laszlo

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ConvLSTM-ViT: A Deep Neural Network for Crop Yield Prediction Using Earth Observations and Remotely Sensed Data von Mirhoseini Nejad, Seyed Mahdi, Abbasi-Moghadam, Dariush, Sharifi, Alireza

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Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches von Nejad, Seyed Mahdi Mirhoseini, Abbasi-Moghadam, Dariush, Sharifi, Alireza, Farmonov, Nizom, Amankulova, Khilola, Laszlz, Mucsi

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Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery von Nejad, Seyed Mahdi Mirhoseini, Abbasi-Moghadam, Dariush, Sharifi, Alireza, Tariq, Aqil

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