Recently Prof Baret has become involved in close range remote sensing techniques with application to high throughput phenotyping through PHENOBLE, BREEDWHEAT and PHENOME projects. This uses both UAVs as well as robotic vehicles with functional imaging capabilities along with 3D models to describe the detailed canopy architecture and its dynamics along the growth cycle. He has authored more than 210 peer reviewed international journal articles, more than 40 in the last five years, which are highly cited, with index h=48 (Web of science) or h = 121 (Google Scholar) and is a member of the editorial board of Remote Sensing of the Environment journal (IF=4.6). More recently, he has joined the scientific advisory committee of the AKER project (sugar-beet phenotyping) and is participating in the executive committee of the PHENOME project, and the French Plant Phenotyping Network.