Predicting in-season maize (Zea mays L.) yield potential using crop sensors and climatological data
Crossref DOI link: https://doi.org/10.1038/s41598-020-68415-2
Published Online: 2020-07-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Dhillon, Jagmandeep
Aula, Lawrence
Eickhoff, Elizabeth
Raun, William
Text and Data Mining valid from 2020-07-10
Version of Record valid from 2020-07-10
Article History
Received: 24 January 2020
Accepted: 24 June 2020
First Online: 10 July 2020
Competing interests
: The authors declare no competing interests.