4.7 Article

Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics

Journal

REMOTE SENSING
Volume 13, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/rs13234908

Keywords

ground penetrating radar; cassava; branching; power spectrum; root biomass; radargram

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Inadequate means to measure early storage root bulking in cassava have prompted a study to evaluate the capability of ground penetrating radar (GPR) for non-destructive assessment of cassava root biomass. Different methods of processing the GPR radargram were tested, with a simple model without interaction producing the best prediction accuracy. Results demonstrate the potential for GPR technology to be adopted by cassava breeding programs for selecting early stage root bulking to increase crop yield.
Cassava as a world food security crop still suffers from an inadequate means to measure early storage root bulking (ESRB), a trait that describes early maturity and a key characteristic of improved cassava varieties. The objective of this study is to evaluate the capability of ground penetrating radar (GPR) for non-destructive assessment of cassava root biomass. GPR was evaluated for this purpose in a field trial conducted in Ibadan, Nigeria. Different methods of processing the GPR radargram were tested, which included time slicing the radargram below the antenna surface in order to reduce ground clutter; to remove coherent sub-horizontal reflected energy; and having the diffracted energy tail collapsed into representative point of origin. GPR features were then extracted using Discrete Fourier Transformation (DFT), and Bayesian Ridge Regression (BRR) models were developed considering one, two and three-way interactions. Prediction accuracies based on Pearson correlation coefficient (r) and coefficient of determination (R-2) were estimated by the linear regression of the predicted and observed root biomass. A simple model without interaction produced the best prediction accuracy of r = 0.64 and R-2 = 0.41. Our results demonstrate that root biomass can be predicted using GPR and it is expected that the technology will be adopted by cassava breeding programs for selecting early stage root bulking during the crop growth season as a novel method to dramatically increase crop yield.

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