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Bibliographic Details
Main Authors: Bezemer, Marissa, Budko, Neil
Format: Preprint
Published: 2021
Subjects:
Online Access:https://arxiv.org/abs/2110.05220
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author Bezemer, Marissa
Budko, Neil
author_facet Bezemer, Marissa
Budko, Neil
contents The possibility to use diurnal temperature variations for nondestructive monitoring of growing tubers is investigated by numerically simulating the data collected with a grid of passive thermal sensors placed in the ground and sampled at regular intervals. A qualitative linear imaging algorithm that produces an approximate projected view of the tubers is proposed and an effective inversion method is applied to recover the volume fraction of tubers. In particular, it is shown that a correlation-based cost functional outperforms the usual least-squares metric, although, requiring additional steps to deal with the non-uniqueness of the solution.
format Preprint
id arxiv_https___arxiv_org_abs_2110_05220
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Exploiting diurnal temperature variations to monitor the growth of tubers
Bezemer, Marissa
Budko, Neil
Classical Physics
Biological Physics
80A23, 78A46
The possibility to use diurnal temperature variations for nondestructive monitoring of growing tubers is investigated by numerically simulating the data collected with a grid of passive thermal sensors placed in the ground and sampled at regular intervals. A qualitative linear imaging algorithm that produces an approximate projected view of the tubers is proposed and an effective inversion method is applied to recover the volume fraction of tubers. In particular, it is shown that a correlation-based cost functional outperforms the usual least-squares metric, although, requiring additional steps to deal with the non-uniqueness of the solution.
title Exploiting diurnal temperature variations to monitor the growth of tubers
topic Classical Physics
Biological Physics
80A23, 78A46
url https://arxiv.org/abs/2110.05220