Estimation of nitrogen content in wheat from proximal hyperspectral data using machine learning and explainable artificial intelligence (XAI) approach
Crossref DOI link: https://doi.org/10.1007/s40808-021-01243-z
Published Online: 2021-07-22
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Singh, Harpinder http://orcid.org/0000-0001-8178-9354
Roy, Ajay
Setia, R. K.
Pateriya, Brijendra
Text and Data Mining valid from 2021-07-22
Version of Record valid from 2021-07-22
Article History
Received: 12 April 2021
Accepted: 10 July 2021
First Online: 22 July 2021
Declarations
:
: The authors have no conflict of interest to declare that are relevant to the content of this article.