Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications
| Autor: | Johnathon M. Shook, Sambuddha Ghosal, Asheesh K. Singh, Luis G. Riera, Soumik Sarkar, Baskar Ganapathysubramanian, Tianshuang Gao, Arti Singh, Matthew E. Carroll, Zhisheng Zhang, Sourabh Bhattacharya |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine Rank (linear algebra) Yield (finance) Agricultural engineering QH426-470 01 natural sciences Field (computer science) SB1-1110 Reduction (complexity) 03 medical and health sciences Genetics Cultivar Plant breeding Mathematics Image fusion business.industry Deep learning fungi Botany food and beverages Plant culture 030104 developmental biology QK1-989 Artificial intelligence business Agronomy and Crop Science Research Article 010606 plant biology & botany |
| Zdroj: | Plant Phenomics, Vol 2021 (2021) Plant Phenomics |
| ISSN: | 2643-6515 |
| Popis: | Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean ( Glycine max L. (Merr.)) pod counting to enable genotype seed yield rank prediction from in-field video data collected by a ground robot. To meet this goal, we developed a multiview image-based yield estimation framework utilizing deep learning architectures. Plant images captured from different angles were fused to estimate the yield and subsequently to rank soybean genotypes for application in breeding decisions. We used data from controlled imaging environment in field, as well as from plant breeding test plots in field to demonstrate the efficacy of our framework via comparing performance with manual pod counting and yield estimation. Our results demonstrate the promise of ML models in making breeding decisions with significant reduction of time and human effort and opening new breeding method avenues to develop cultivars. |
| Databáze: | OpenAIRE |
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