LysipheN: a gravimetric IoT device for near real-time high-frequency crop phenotyping: a case study on common beans
Crossref DOI link: https://doi.org/10.1186/s13007-024-01170-x
Published Online: 2024-03-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pineda-Castro, Duvan
Diaz, Harold
Soto, Jonatan
Urban, Milan Oldřich
Text and Data Mining valid from 2024-03-14
Version of Record valid from 2024-03-14
Article History
Received: 23 August 2023
Accepted: 6 March 2024
First Online: 14 March 2024
Declarations
:
: Not applicable.