欧亚国际

    作为较先进的室外表型和近地遥感设备供应商，专注于为第四次农业革命提供有效农业和表型研究一站式解决方案的Hiphen公司，剥离在法国农业科学院，依托其强大科研实力开启暴力发文章以及市场推广模式，较近发表的文章参见下文，我们会陆续对文章进展进行较新。北京欧亚国际科技有限公司作为Hiphen总代理，全面负责其系列产品在中国的市场的推广、销售和售后服务。

   Liu, S., Baret, F., Allard, D., Jin, X., Andrieu, B., Burger, P., ... & Comar, A. (2017). A method to estimate plant density and plant spacing heterogeneity: application to wheat crops. Plant Methods, 13(1), 38. doi: 10.1186/s13007-017-0187-1

    Plant density and its non-uniformity drive the competition among plants as well as with weeds. They need thus to be estimated with small uncertainties accuracy. An optimal sampling method is proposed to estimate the plant density in wheat crops from plant counting and reach a given precision. 

    Jay, S., Gorretta, N., Morel, J., Maupas, F., Bendoula, R., Rabatel, G., ... & Baret, F. (2017). Estimating leaf chlorophyll content in sugar beet canopies using millimeter-to centimeter-scale reflectance imagery. Remote Sensing of Environment, 198, 173-186. http://doi.org/10.1016/j.rse.2017.06.008 

    Accurate estimation of leaf chlorophyll content (Cab) from remote sensing is of tremendous significance to monitor the physiological status of vegetation or to estimate primary production. Many vegetation indices (VIs) have been developed to retrieve Cab at the canopy level from meter- to decameter-scale reflectance observations. However, most of these VIs may be affected by the possible confounding influence of canopy structure. The objective of this study is to develop methods for Cab estimation using millimeter to centimeter spatial resolution reflectance imagery acquired at the field level. 

    Jin, X., Liu, S., Baret, F., Hemmerlé, M., & Comar, A. (2017). Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery. Remote Sensing of Environment, 198, 105-114. http://doi.org/10.1016/j.rse.2017.06.007 

    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. Finally, the capacity of plant height as a proxy for total above ground biomass and yield is discussed. 

    Baret, F., Madec, S., Irfan, K., Lopez, J., Comar, A., Hemmerlé, M., ... & Tixier, M. H. (2017). Leaf rolling in maize crops: from leaf scoring to canopy level measurements for phenotyping. bioRxiv, 201665.http://doi.org/10.1101/201665 

    Leaf rolling in maize crops is one of the main plant reactions to water stress that may be visually scored in the field. However, the leaf scoring did not reach the high-throughput desired by breeders for efficient phenotyping. This study investigates the relationship between leaf rolling score and the induced canopy structure changes that may be accessed by high-throughput remote sensing techniques.  

    Liu, S., Baret, F., Andrieu, B., Burger, P., & Hemmerle, M. (2017). Estimation of wheat plant density at early stages using high resolution imagery. Frontiers in plant science, 8. http://dx.doi.org/10.3389/fpls.2017.00739 

    Crop density is a key agronomical trait used to manage wheat crops and estimate yield. Visual counting of plants in the field is currently the most common method used. However, it is tedious and time consuming. The main objective of this work is to develop a machine vision based method to automate the density survey of wheat at early stages 

    Liu, S., Baret, F., Boudon, F., Fournier, C., Andrieu, B., Abichou, M., Hemmerle, M., & De Solan, B. (2016, November). Estimating canopy characteristics from ground-based LiDAR measurement assisted with 3D Adel-Wheat model. In FSPMA2016, International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, IEEE (p. np). 

      Functional structural plant modeling (FSPM) integrates the physiological and morphological information from organizational scales to the canopy level. The combination of new phenotyping techniques with FSPMs is expected therefore to estimate a set of FSPMs parameters corresponding to traits of interest. LiDAR (Light Detection And Ranging) is recently exploited for detailed 3D description of the canopy structure, especially over dense canopies with small elements such as wheat and barley. In this work, we propose to use a model-assisted phenotyping approach to improve our understanding of the interaction between laser beam and canopy.

    Gouache, D., Beauchêne, K., Mini, A., Fournier, A., De Solan, B., Baret, F., & Comar, A. (2016, June). Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry. In SPIE Commercial+ Scientific Sensing and Imaging (pp. 986604-986604). International Society for Optics and Photonics. http://dx.doi.org/10.1117/12.2229389

    Digital and image analysis technologies in greenhouses have become commonplace in plant science research and started to move into the plant breeding industry. However, the core of plant breeding work takes place in fields. We will present successive technological developments that have allowed the migration and application of remote sensing approaches at large into the field of crop genetics and physiology research, with a number of projects that have taken place in France.