Crop yield prediction with deep convolutional neural networks

Petteri Nevavuori; Nathaniel Narra; Tarmo Lipping

doi:10.1016/j.compag.2019.104859

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Crop yield prediction with deep convolutional neural networks

Petteri Nevavuori Nathaniel Narra Tarmo Lipping

Year: 2019 Journal: Computers and Electronics in Agriculture Vol: 163 Pages: 104859-104859 Publisher: Elsevier BV

DOI: 10.1016/j.compag.2019.104859

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Keywords:

Mean absolute percentage error Convolutional neural network RGB color model Artificial intelligence Hyperparameter Computer science Machine learning Deep learning Normalized Difference Vegetation Index Crop yield Artificial neural network Pattern recognition (psychology) Statistics Mathematics Leaf area index Agronomy

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Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Remote Sensing in Agriculture

Physical Sciences → Environmental Science → Ecology

Water Quality Monitoring Technologies

Physical Sciences → Environmental Science → Water Science and Technology

Crop yield prediction with deep convolutional neural networks

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