This approach is based on the phylogeny of species and physico-chemical descriptors of pesticides, with both kinds of information combined in a bilinear model. We propose a statistical modelling approach to predict tolerances associated with untested species-substance pairs, by using models fitted to tested pairs.
In order agricultural specialists correctly to select the right pesticide for given pesticide treatment (situation), the using of data visualizations software in their education and practice is extremely important and provide as effective pesticide treatments and respectively pest management and good yields, as correct and safe application of the pesticides towards non-target organisms and environment.ĭirect estimation of species' tolerance to pesticides and other toxic organic substances is a combinatorial problem, because of the large number of species-substance pairs.
Most often these data are provided by various sources-plant protection products labels, on-line databases provided by government, non-government or business institutions and summarizing and rationalize all data is extremely difficult without graphical data visualization. The key feature in the educational process in the Pesticide Science is students to be able to understand rationalize and summarize the large sets of information corcerning the correct using of the plant protection products, their physio-chemcal properties, classification accrding to the resistance management and tagret organisms). The software became increasingly popular among the journalists, writers, bloggers, students, professors, hobbyists, critics, citizens and more. The visualizations can be embedded into web pages and blogs, they can be shared via social media or email, and they can be made available for download to other users.
Tableau Public is a free service that lets anyone publish interactive data visualizations to the web. For such purposes, different kind of software products for decision making and data visualization, which gained enormous popularity during recent years, can be used successfully to facilitate this process and ensure the correct, profitable and environmentally safe selection of the plant protection products.
However taking the right decision about using given pesticide, respectively-plant protection product is a lot of complication process due to numerous properties as an octanol-water coefficient, vapour pressure, leaching potential, mode of action, formulation and others, plus necessity to be taken into account the BBCH intervals for the application. Due to BBCH codes, the agronomist can surely and safely apply pesticides. From 2001 BBCH became officially standard in the agricultural and biological science and practice. The abbreviation of the scale is also said to unofficially represent the four companies that initially sponsored its development. BBCH officially stands for "Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie". The only one of these tools that allows users to create visualisations that can be shared with others and embedded into websites is Tableau Public.BBCH-scale is a scale used to identify the phenological development stages of a plant. Tableau Public: Software installed locally that allows Tableau visualisations to be created and saved into the Cloud (the Tableau Cloud), this is available as a free download.Tableau Reader: Software installed locally that allows Tableau visualisations to be viewed on your machine, this is available as a free download.
Tableau Desktop: Software installed locally that allows Tableau visualisations to be created and saved on your computer, University of Oxford does not have a site-wide license for this software.
Tableau has a large portfolio of tools available, it's worth disambiguating these: The primary benefit of using Tableau over other tools is its ability to automatically suggest charts and maps from your data, and the ease with which the data can be filtered and grouped interactively. Tableau is an exceptionally popular and powerful point-and-click tool for creating interactive dashboards and storyboards - it is particularly popular in the "business intelligence" community.