Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks

Research article (International Journal of Applied Earth Observation and Geoinformation, 2021) · cited 131× · AI/ML
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Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks

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Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks is a scholarly article[1].

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  • Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/crop-yield-prediction-from-multi-spectral-multi-temporal-remotely-sensed-imagery-using-recurrent-3d-convolutional-neural
MLA “Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crop-yield-prediction-from-multi-spectral-multi-temporal-remotely-sensed-imagery-using-recurrent-3d-convolutional-neural.
BibTeX @misc{4ortxyz_crop-yield-prediction-from-multi-spectral-multi-temporal-remotely-sensed-imagery-using-recurrent-3d-convolutional-neural_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/crop-yield-prediction-from-multi-spectral-multi-temporal-remotely-sensed-imagery-using-recurrent-3d-convolutional-neural}, note = {Accessed: 2026-05-24}}
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