High-resolution satellite image to predict peanut maturity variability in commercial fields-Reference-Cited by-同舟云学术

High-resolution satellite image to predict peanut maturity variability in commercial fields

Published:2021-03-16 Issue:5 Volume:22 Page:1464-1478
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

dos Santos Adão Felipe^ORCID,Corrêa Lígia Negri^ORCID,Lacerda Lorena Nunes,Tedesco-Oliveira Danilo^ORCID,Pilon Cristiane^ORCID,Vellidis George^ORCID,da Silva Rouverson Pereira^ORCID

Funder

CNPQ

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-021-09791-1.pdf

Reference37 articles.

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2. Bindlish, E., Abbott, A.L., & Balota, M. (2017). Assessment of Peanut Pod Maturity, In: IEEE Winter Conference on Applications of Computer Vision, 688-–696. https://doi.org/10.1109/wacv.2017.82.

3. Boldor, D., Sanders, T., Swartzel, K., & Simunovic, J. (2002). Computer-assisted color classification of peanut pods. Peanut Science, 29(1), 41–46. https://doi.org/10.3146/pnut.29.1.0008.

4. Boote, K. J. (1982). Growth stages of peanut (Arachis hypogaea L.). Peanut Science, 9(1), 35–40.

5. Carley, D., Jordan, D., Dharmasri, L., Sutton, T., Brandenburg, R., & Burton, M. (2008). Peanut response to planting date and potential of canopy reflectance as an indicator of pod maturity. Agronomy Journal, 100(2), 376–380. https://doi.org/10.2134/agronj2006.0352.

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