2021/10/11 by Marissa Bezemer, Bezemer, Marissa, Neil V. Budko +1
Agricultural and Biological Sciences · Chemistry · Environmental Science · #78A46 #80A23 #Biological Physics (physics.bio-ph) #Classical Physics (physics.class-ph) #FOS: Physical sciences #Greenhouse Technology and Climate Control #Plant Water Relations and Carbon Dynamics #Spectroscopy and Chemometric Analyses
paper · pdf · doi:10.48550/arxiv.2110.05220
openalex publication_date 2021/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.