Third COMPUTER VISION PROBLEMS IN PLANT PHENOTYPING (CVPPP) seminar will be held in Venice at the end of October 2017 and the International Conference on computer vision (ICCV) Co organized. The conference is organized by the University of Edinburgh in the UK, Germany and the UK University of Nottingham Research Center juelich.
Following the 2014 International Conference on computer vision (ECCV) and the 2015 British machine vision Conference (BMVC) during the CVPPP conference successfully held the third session of the conference was to continue to discuss the problems and challenges in computer vision research field of plant phenotype, while sharing the latest technology. Plant phenotypic analysis focuses on differences in plant structure and function (phenotype) caused by genotypic differences (i.e., genetic code differences) and environmental factors. Plant phenotypic knowledge is an important component of knowledge based biological economy, and it is crucial to the production of grain, feed, fiber and fuel.
Traditional phenotypic data are manually measured, and graphical analysis has been used more widely in phenotypic analysis. High throughput, anti transformation, accuracy and reliability are the basic requirements of graphic analysis, but these applications need to be different from the common tasks in the field of computer vision.
Plants are complex self regulatory bodies, and their complexity will increase over time. Typical phenotypic problems include measurement of size, shape, 3D apparent structure, and other structural traits of plants and their organs. In many cases, we need to make quantitative description of plant community, the core problems including reliable detection and multi label on the structure of similar objects (multi-label) segmentation and reconstruction of the mirror, and the overlapping surface characteristic. Quantitative description of the growth of these complex organisms is critical, and appropriate tracking, optical flow and (or) scene flow estimation methods are needed. The tracked object will change its appearance over time. In some cases, plants can obtain images under controlled conditions, but they are more likely to be more challenging to the natural environment, such as greenhouse or field, then the automatic acquisition agreement, access to a large number of images.
Invited object:
• computer vision specialists who are interested in emerging areas are able to access the field of computer vision, but demand varies
• scientists who have the expertise in image processing and are interested in computer vision
CVPPP meeting
Time: October 23, 2017, 28-29 October
Location: Italy, Venice
Official website: https://www.plant-phenotyping.org/CVPPP2017
ICCV meeting
Time: 22-27 October 2017
Location: Italy, Venice
Official website: http://iccv2017.thecvf.com/
About Polytron Technologies Inc in Shanghai
Shanghai Ze Quan Polytron Technologies Inc (Zealquest Scientific Technology Co., Ltd.) was founded in 2000, is a high-tech enterprise specializing in high-end scientific equipment research and development, system integration, technology promotion, sales, research and consulting services. The company is headquartered in Puxi, Beijing, has branch offices in Guangzhou, Shanghai, Chengdu, Wuhan, respectively, representative offices. February 2014 in Shanghai Pudong Sunqiao Modern Agricultural Park Investment in the construction of Asia's first AgriPheno high-throughput plant genotype phenotype - breeding service platform, to provide comprehensive sample collection and Cultivation for plant research and breeding units, experimental design and project cooperation, and phenotypic data and bioinformatics analysis of integrated services. Since the formal operation in April 2015, two years has more than 30 platform to undertake foreign government research services including the Shanghai Municipal Agricultural Commission, science and technology, and business services, made in Shanghai and many customers nationwide recognition.
Combined with the existing Agripheno platform laboratory, greenhouse cultivation and basic research conditions, company to respond positively to the development direction of Shanghai municipal government Chongming building a world-class ecological island, at the beginning of 2017 Zealquest in Chongming city town investment set up a branch, the expansion of construction field intelligent breeding service platform and intelligent agricultural IOT cloud agriculture "on the platform", the development mode of ecological village, rural energy, demonstration and implementation of company independent research and development of advanced agricultural building infrastructure, greenhouse and field intelligent "multi factor" regulation of cultivation and management mode; the only field in Asia based high-throughput phenotypic analysis system of Agripheno intelligent breeding service platform improve, Shanghai seed industry commercial breeding process, and serve the national and foreign related breeding scientific research units.
For more information, please click to consult:
Official website: www.zealquest.com
Agripheno platform: www.agripheno.com
Urban Agriculture Network: www.agritech17.com
