Early frost detection in wheat using machine learning from vertical temperature distributions-Reference-Cited by-同舟云学术

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Early frost detection in wheat using machine learning from vertical temperature distributions

Published:2024-06 Issue: Volume:221 Page:108950
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Shammi Sayma^ORCID,Diepeveen Dean,Zander Sebastian,Jones Michael G.K.,Sohel Ferdous^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Simulating the impact of extreme heat and frost events on wheat crop production: A review;Barlow;Field Crops Res.,2015

2. Frost;Biddulph,2021

3. Bacterial ice nucleation activity in rainfall and on crop residues may explain why pre-frost rainfall and stubble retention increase frost damage in WA cropping systems;Biddulph,2021

4. Random forests;Breiman;Mach. Learn.,2001

5. Temperatures in the surface zone and within the crop;Cawood,1996

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1. Barley disease recognition using deep neural networks;European Journal of Agronomy;2024-11

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