Non-invasive sensing techniques to phenotype multiple apple tree architectures-Reference-Cited by-同舟云学术

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Non-invasive sensing techniques to phenotype multiple apple tree architectures

Published:2021-03 Issue: Volume: Page:
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Zhang Chongyuan,Serra Sara,Quirós-Vargas Juan,Sangjan Worasit,Musacchi Stefano,Sankaran Sindhuja

Funder

Washington Tree Fruit Research Commission

NIFA

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference56 articles.

1. The role of branch architecture in assimilate production and partitioning: the example of apple (Malus domestica);Fanwoua;Front Plant Sci,2014

2. Light interception and partitioning between shoots in apple cultivars influenced by training;Stephan;Tree Physiol,2008

3. Light interception in apple trees influenced by canopy architecture manipulation;Willaume;Trees,2004

4. Branch age and angle as crucial drivers of leaf photosynthetic performance and fruiting in high-density planting: a study case in spur-type apple “Vallee Spur” (Malus domestica);Yang;Sci Hortic,2019

5. Orchard training systems influence early canopy development and light microclimate within apple tree canopies;Kappel;Can J Plant Sci,1993

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2. Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction;International Journal of Remote Sensing;2024-02-20

3. New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles;Frontiers in Horticulture;2023-10-11

4. The genetic basis of apple shape and size unraveled by digital phenotyping;2023-08-27

5. Studies on physiological and productive effects of multi-leader training systems and Prohexadione-Ca applications on apple cultivar 'WA 38′;Scientia Horticulturae;2023-03

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