来自法国农业科学院的Fred教授在国际表型组织召集的会议上作了题为High-throughput estimates of the radiation interception and use efficiency in wheat crops的报告。

其中提到了法国农业科学院开发的基于多光谱成像系统的室外表型成像设备，如便携式多光谱成像系统、农机搭载多光谱成像系统、Phenomobile表型成像车等，目前这些系统已经由Hiphen公司商业化。报告视频详见https://www.bilibili.com/video/BV1kb4y1Q7zi

High-throughput estimates of the radiation interception and use efficiency in wheat crops

Abstract

Biomass results from the accumulation of the assimilates produced by the photosynthesis. The efficiency with which the incoming radiation is transformed into biomass depends on two terms: the radiation interception efficiency (RIE) and the Radiation use efficiency (RUE). The first term, RIE, quantifies the fraction of photosynthetically active radiation intercepted by the canopy. It can be accurately estimated in the field from high-throughput measurements of the green fraction (GF) at 0° and 45° inclined directions. GF can be estimated from several systems including high-resolution RGB cameras, LiDAR or multispectral cameras. The second term, RUE, quantifies the efficiency with which the intercepted radiation is transformed into biomass. Its computation requires measurements or estimates of the total biomass, which currently is difficult to get accurately from high-throughput observations. This presentation draws the main advantages and limits of these techniques.

Short Bio:

Frederic Baret received a PhD in the use of remote sensing for crop monitoring in 1986. He is currently research Director at INRAE, and invited professor at Nanjing Agricultural University. He coordinated several National and European projects. He is involved in the development of radiative transfer models at several scales (soil, leaf, canopy) and their use for the retrieval of vegetation biophysical variables. He developed retrieval algorithms (CYCLOPES, GEOV1, GEOV2, GEOV3, Sentinel-2) from satellite and airborne sensors as well as close range remote sensing. He is deeply involved in the validation of remote sensing products and chaired the CEOS/LPV working group. He recently expanded his activity on high throughput phenotyping with the development of measurement systems as well as interpretation methods. He is in charge of the development of phenotyping methods in field conditions within the French Plant Phenotyping Network (PHENOMEwww.phenome-emphasis.fr) project. This includes the application of IoTs (sensors on fixed positions), phenomobiles (fully automatic robot rover) as well as the development of drone observations. He authored more than 255 research papers (h=61 from WoK).