Exploiting diurnal temperature variations to monitor the growth of tubers
Abstract We propose to use diurnal temperature variations for nondestructive monitoring of growing tubers and investigate the feasibility by numerically simulating the data collected with a grid of passive thermal sensors placed in the ground and sampled at regular time intervals. A qualitative line...
Saved in:
| Main Authors: | Marissa Bezemer, Neil Budko |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | Journal of Mathematics in Industry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13362-025-00178-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scanning Acoustic Microscope for 3D imaging
by: Krzysztof DYNOWSKI, et al.
Published: (2008-01-01) -
Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors
by: Vikas R. Bhat, et al.
Published: (2025-07-01) -
Spatio-Temporal neighbors adaptive learning with two-point differences for ocean subsurface temperature reconstruction from 1960 to 2022
by: An Wang, et al.
Published: (2025-08-01) -
Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information
by: Gelson F. Souza‐Junior, et al.
Published: (2024-07-01) -
Semantic–Electromagnetic Inversion With Pretrained Multimodal Generative Model
by: Yanjin Chen, et al.
Published: (2024-11-01)