High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was conducted. Frequent LiDAR measurements were performed...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-11-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fpls.2017.02002/full |
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| author | Simon Madec Fred Baret Benoît de Solan Samuel Thomas Dan Dutartre Stéphane Jezequel Matthieu Hemmerlé Gallian Colombeau Alexis Comar |
| author_facet | Simon Madec Fred Baret Benoît de Solan Samuel Thomas Dan Dutartre Stéphane Jezequel Matthieu Hemmerlé Gallian Colombeau Alexis Comar |
| author_sort | Simon Madec |
| collection | DOAJ |
| description | The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was conducted. Frequent LiDAR measurements were performed along the growth cycle using a phénomobile unmanned ground vehicle. UAV equipped with a high resolution RGB camera was flying the experiment several times to retrieve the digital surface model from structure from motion techniques. Both techniques provide a 3D dense point cloud from which the plant height can be estimated. Plant height first defined as the z-value for which 99.5% of the points of the dense cloud are below. This provides good consistency with manual measurements of plant height (RMSE = 3.5 cm) while minimizing the variability along each microplot. Results show that LiDAR and structure from motion plant height values are always consistent. However, a slight under-estimation is observed for structure from motion techniques, in relation with the coarser spatial resolution of UAV imagery and the limited penetration capacity of structure from motion as compared to LiDAR. Very high heritability values (H2> 0.90) were found for both techniques when lodging was not present. The dynamics of plant height shows that it carries pertinent information regarding the period and magnitude of the plant stress. Further, the date when the maximum plant height is reached was found to be very heritable (H2> 0.88) and a good proxy of the flowering stage. Finally, the capacity of plant height as a proxy for total above ground biomass and yield is discussed. |
| first_indexed | 2024-12-11T09:01:51Z |
| format | Article |
| id | doaj.art-539dfb864da94ff0925326a9e6f531b0 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-11T09:01:51Z |
| publishDate | 2017-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-539dfb864da94ff0925326a9e6f531b02022-12-22T01:13:44ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2017-11-01810.3389/fpls.2017.02002304033High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR EstimatesSimon Madec0Fred Baret1Benoît de Solan2Samuel Thomas3Dan Dutartre4Stéphane Jezequel5Matthieu Hemmerlé6Gallian Colombeau7Alexis Comar8INRA, UMR EMMAH, Avignon, FranceINRA, UMR EMMAH, Avignon, FranceARVALIS – Institut du végétal, Avignon, FranceARVALIS – Institut du végétal, Avignon, FranceHIPHEN, Avignon, FranceARVALIS – Institut du végétal, Avignon, FranceHIPHEN, Avignon, FranceINRA, UMR EMMAH, Avignon, FranceHIPHEN, Avignon, FranceThe capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was conducted. Frequent LiDAR measurements were performed along the growth cycle using a phénomobile unmanned ground vehicle. UAV equipped with a high resolution RGB camera was flying the experiment several times to retrieve the digital surface model from structure from motion techniques. Both techniques provide a 3D dense point cloud from which the plant height can be estimated. Plant height first defined as the z-value for which 99.5% of the points of the dense cloud are below. This provides good consistency with manual measurements of plant height (RMSE = 3.5 cm) while minimizing the variability along each microplot. Results show that LiDAR and structure from motion plant height values are always consistent. However, a slight under-estimation is observed for structure from motion techniques, in relation with the coarser spatial resolution of UAV imagery and the limited penetration capacity of structure from motion as compared to LiDAR. Very high heritability values (H2> 0.90) were found for both techniques when lodging was not present. The dynamics of plant height shows that it carries pertinent information regarding the period and magnitude of the plant stress. Further, the date when the maximum plant height is reached was found to be very heritable (H2> 0.88) and a good proxy of the flowering stage. Finally, the capacity of plant height as a proxy for total above ground biomass and yield is discussed.http://journal.frontiersin.org/article/10.3389/fpls.2017.02002/fullplant heighthigh throughputunmanned aerial vehiclesdense point cloudLiDARphenotyping |
| spellingShingle | Simon Madec Fred Baret Benoît de Solan Samuel Thomas Dan Dutartre Stéphane Jezequel Matthieu Hemmerlé Gallian Colombeau Alexis Comar High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates Frontiers in Plant Science plant height high throughput unmanned aerial vehicles dense point cloud LiDAR phenotyping |
| title | High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates |
| title_full | High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates |
| title_fullStr | High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates |
| title_full_unstemmed | High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates |
| title_short | High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates |
| title_sort | high throughput phenotyping of plant height comparing unmanned aerial vehicles and ground lidar estimates |
| topic | plant height high throughput unmanned aerial vehicles dense point cloud LiDAR phenotyping |
| url | http://journal.frontiersin.org/article/10.3389/fpls.2017.02002/full |
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