Improving spatial transferability of deep learning models for small-field crop yield prediction

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Improving spatial transferability of deep learning models for small-field crop yield prediction

Stefan Stiller - Personal Name; Kathrin Grahmann - Personal Name; Gohar Ghazaryan - Personal Name; Masahiro Ryo - Personal Name;

Predicting crop yield using deep learning (DL) and remote sensing is a promising technique in agriculture. In smallholder agriculture (

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55 621.3678 Perpustakaan BIG (Eksternal Harddisk) Available

Detail Information

Series Title: ISPRS Open Journal of Photogrammetry and Remote Sensing
Call Number: 621.3678
Publisher: Amsterdam : Elsevier., 2024
Collation: 11 hlm PDF, 7.586 KB
Language: Inggris
ISBN/ISSN: 1872-8235
Classification: 621.3678
Content Type: text
Media Type: -
Carrier Type: -
Edition: Vol.12, April 2024
Subject(s): Convolutional neural network
UAV
Smallholder farming
Crop yield
Spatial cross validation
External validation
Specific Detail Info: -
Statement of Responsibility: -

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Improving spatial transferability of deep learning models for small-field crop yield prediction
Predicting crop yield using deep learning (DL) and remote sensing is a promising technique in agriculture. In smallholder agriculture (
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