Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale predictions. The regional-scale crop yield predictions...

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Bibliographic Details
Main Authors: Martin Engen, Erik Sandø, Benjamin Lucas Oscar Sjølander, Simon Arenberg, Rashmi Gupta, Morten Goodwin
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
farm-scale crop yield prediction
deep learning
hybrid neural network
convolutional neural network
recurrent neural network
Sentinel-2 satellite remote sensing data
Online Access:https://www.mdpi.com/2073-4395/11/12/2576

Internet

https://www.mdpi.com/2073-4395/11/12/2576

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