Stepping-up IPM decision support for crop protection

Selected data sets made available to end-users for DSS validation (opens in new window)

A curated data set based on deliverables D4.2 and D4.4 comprising septoria in wheat, downy mildew in grapes, aphids in cereals and vegetables, and three insects pests in vegetables. For any pest × crop interaction at least 3 years of data from at least 2 countries will be present. The data set will be made available through WP3.

DSS evaluated for economic and environmental benefits: weeds (opens in new window)

We will evaluate the value of prediction in terms of economics and environment for DSSs related to weeds using data gathered in D4.6

DSS tested for validity: aphids and vegetable pests (opens in new window)

The phenology of insect pests, predicted by DSS models from data on crop (cultivar, growth stage) and weather (temperature), will be compared to observed insect phenology and the validity of predictions assessed.

List of contributions to national network activities (opens in new window)

IPM Decisions will disseminate project results and demonstrate the Platform in several national network activities. The report will give an overview of these activities and number of visitors reached.

Data set for DSS evaluation collected: apple scab and potato late blight (opens in new window)

Field data collated for apple scab in apple (>3 years, 3 countries) and potato late blight in potatoes (>3 years, 4 countries), together with concurrent weather data (assisted by WP2).

Scientific publications (opens in new window)

Coordinate overall Scientific publications from the project.The consortium will follow the Horizon 2020 guidelines on open access to scientific publication and research data. Open access publishing or self-archiving will be the preferred options. Peer-reviewed research papers will be published in journals or platforms that provide green open access. Copies will be deposited within appropriate subject and institution repositories. Where feasible, publications from the project will also be deposited in openAIRE. Most of our academic partners have self-archiving repositories within their organisations.

Report: Impact of DDS on pest management and pesticide usage in EU (opens in new window)

Section for report summarising the environmental and economic implications of implimentation of DSS in EU agriculture, using scenarios of uptake to understand how differing levels of uptake will impact the cost of production, as well as wider environmental impacts. Analysis will be done using a combination of quantitative and qualativie information.

Description of the general outline methods for DSS evaluation of the value of a prediction (opens in new window)

We will develop systematic and generic methods to evaluate disease, pest and weed DSS tools in terms of the value of prediction. These methods focus on economic and environmental value of DSS. The general method will be documented.

Contributions to EIP Agri, mo48 and 60 (opens in new window)

The EIP website will be used for disseminating the results of IPM Decisions, by newsletters and practical abstracts. This report gives an overview of all the content we published on the EIP website.

Final report (opens in new window)

Delivery of final report

DSS evaluated for economic and environmental benefits: aphids and vegetable pests (opens in new window)

We will evaluate the value of prediction in terms of economics and environment for DSSs related to aphids and vegetable pests using data gathered in D4.4

DSS evaluated for economic and environmental benefits: apple scab and potato late blight (opens in new window)

We will evaluate the 'value of prediction' in terms of economics and environment for DSSs related to apple scab and potato late blight using data gathered in D4.1.

Biannual review of gender equality (opens in new window)

End of project summary of Gender review

List with contributions to SUD (opens in new window)

List with contributions to SUD. After the first half year of the project and at the end the project will prepare a presentation for the EU working group of experts on Sustainable Use of Pesticides, with the purpose to inform regulating authorities in member states about options for taking advantage of the project output for national pesticide action plans on sustainable use of pesticides.

First country list with demonstration activities, number of visitors reached (opens in new window)

IPM decisons will disseminate the results of the project through demonstrations of the platform. This deliverable will be a report with an overview of these demonstrations per country and the number of visitors reached.

Project reports in agreement with EC (opens in new window)
List of promotion activities through regular activities by project partners (opens in new window)

Project partners will use their own network to inform potential users about project results. This report gives an overview, per country, about activities and the number of potential users reached.

Paper: On the methods related to value of prediction (opens in new window)

Write paper(s) on the method developed to quantify the 'value of DSS prediction' and its application to case study DSSs.

DSS tested for validity: septoria and wine downy mildew (opens in new window)

Disease epidemics, predicted by DSS models from data on crop (cultivar, growth stage) and weather (temperature, humidity), will be compared to observed disease epidemics and the validity of predictions assessed.

Number of followers and friends on social media after 3, 4 and 5 years (opens in new window)

IPM Decisions will be active on social media. In this report we will give an overview of followers and friends on these media, at the end of year 3, 4 and 5.

DSS tested for validity: weeds (opens in new window)

We will parameterise and validate IPMwise for winter wheat in Greece. Using data on weed abundance of species across seasons, along with the relevant management information we will evaluate the WMSS predictions of changes in weed densities using data from across Europe.

DSS evaluated for economic and environmental benefits: septoria and wine downy mildew (opens in new window)

We will evaluate the value of prediction in terms of economics and environment for DSSs related to septoria and downy mildew using data gathered in D4.3

Data set for DSS validation collected: aphids and vegetable pests (opens in new window)

Field data collated for aphids in cereals and vegetables (>3 years, 5 countries) and other insect pests in vegetables (3 pest species, >3 years, 5 countries), together with concurrent weather data (assisted by WP2).

Data set for DSS validation collected: septoria and wine downy mildew (opens in new window)

Field data collated for septoria in wheat (>3 years, 6 countries) and downy mildew in grapes (3 years, 2 countries), together with concurrent weather data (assisted by WP2).

Catalogue of DSS collated with details on inputs, outputs and functionality (opens in new window)

An updated and extended version of the ENDURE catalogue of DSS: Updated to current DSS and extended with information on which models are incorporated, model inputs and outputs, model logic and mathematics, and the empirical evidence supporting the models.

List of contributions to EUFRAS activities, number of visitors reached (opens in new window)

EUFRAS is the European Forum for Agricultural and Rural Advisory services. IPM Decisions will disseminate project results through EURFAS network meetings. The report will give an overview of these activities, including the number of visitors reached.

List with communication material, including templates (opens in new window)

We will develop templates and several communcation materials that can be used by the partners for the dissemination and demonstration of project results. This report will list all these materials and templates.

Publications in peer reviewed journals (opens in new window)

2-3 manuscripts for publication in peer reviewed journals.

Second country list with demonstration activities, number of visitors reached (opens in new window)

An update of D6.7.

Report on the incentives and barriers to uptake DSS by different end-user types (opens in new window)

Based on the results of the econometric model delivered in D5.3, and the qualitatitive information collected from sessions with stakeholders, a document will be developed aiming at informing the partners of this project and actual and potential developers of DSS on the factors favoring and hindering the use of a particular DSS feature by a particular type of end-user.

List of contributions to dissemination through PAN European partners (opens in new window)

Report with an overview of the international activities for the dissemination of project results and demonstration of the Platform.

Scientific paper on interactions between end-users characteristics and structural-performance features of assessed DSS (opens in new window)

A model using advanced data-analysis techniques will be developed associating statistically behavioural and environmental traits of the end users with their probability of acceptance or aversion to specific features of the DSS available. The output will be written in the form of a scientific article targetting a high impact open access outlet.

Data set for DSS validation collected: weeds (opens in new window)

Field data collated for major arable weed species (>3 years, 5 countries) together with available management data (for example cultivation type, crop rotation and herbicide application)

Standard formats for weather data and other model input data (opens in new window)

Formats completed

Weather data repository and management API - production version (opens in new window)

"Data ""completed"". Bugs removed."

DSS validation method available to end-users (opens in new window)

The methods developed for value of prediction will be coded and made available to the end users of the platform

API for interaction with repository of model metadata - final version (opens in new window)

"Data ""completed"". Bugs removed."

Standard formats for model result output (opens in new window)

Formats completed

Stakeholder map (stakeholder list with users) per country (opens in new window)

IPM decisions will cooperate with stakeholders from the beginning. D6.1 will have a list of key stakeholders per country, identified by the project partners, by type of DSS and sectors they work for/in

Library of open-source widgets and snippets for dashboards (opens in new window)

A source code repository will be made available on the project platform. This repository will contain all of the source code for all of the components used within the dashboards (where it is possible to make the source code available). Each set of source code will be accompanied by a text file containing a description of the component and how it works and the functions contained within the source code. The repository will publish all of the available source code onto the web platform for the project so that it can be accessed by anoyone wishing to use it.

DSS Adaptation Dashboard for farmers, advisors and interest groups (opens in new window)

The source code for web-based integration dashboard for farmers, advisors and interest groups will have been written, using the specification from D3.1. The source code for the web services suporting the dashboard will have been written (D3.11, D3.13). The text for the dashboards and its accompanying help system will have been written. The dashboard will have been tested to ensure that it is working correctly before being published on the project web platform for farmers, advisors and other interested groups to use.

DSS Comparison Dashboard for farmers, advisors and interest groups (opens in new window)

The source code for web-based comparison dashboard for farmers, advisors and interest groups will have been written, using the specification from D3.1. The source code for the web services suporting the dashboard will have been written (D3.11, D3.13). The text for the dashboards and its accompanying help system will have been written. The dashboard will have been tested to ensure that it is working correctly before being published on the project web platform for farmers, advisors and other interested groups to use.

DSS Integration dashboard for researchers and interest groups (opens in new window)

The scientific workflows framework will have been developed for selected datasources and DSS tools (D3.7, D3.12 ). A web-based interface that allows the user to access the scientific workflows framework, via a Python library (D3.8) will have been developed and the source code for the web-based interface made available via the project web platform repository. The interface will have been tested using selected DSS tools and data sources to ensure that the workflows and Python libraries are functioning as expected. On succesful completion of the testing phase, the web-based interfacee will be made available to researchers and interested groups via the project web platform.

DSS Use Dashboard for farmers and advisors (opens in new window)

The source code for web-based dashboard for farmers and advisors will have been written, following the specificaiton developed in D3.1. The source code for the web services suporting the dashboard will have been written (D3.11, D3.13). The text for the dashboards and its accompanying help system will have been written. The dashboard will have been tested to ensure that it is working correctly before being published on the project web platform for farmerS abd advisors to use.

Web services providing access to dashboards source code and key information on DSS tools and data (opens in new window)

Using the description of web services required from D3.1, the source code for the web services that manage access to the dashboards and handle the user requests initiated via the dashboards will have been written. The web service code will have been tested using unit testing and via exposure of the dashboards to selected project partners and stakeholders. The source code will have been placed in the project repository along with appropriate documentation describing the functions that the code provides and how to use the code.

Python-based libraries of tools and data sources (opens in new window)

A set of wrappers for the data sources and DSS tools listed in the web catalogue (D3.12) will be developed in the Python programming language. The source code of the wrappers, along with accompanying metadata and information about what the wrappers do and how they integrate into the scientific workflows framework, will be placed in the source code repository of the project web platform and made freely available to platform users.

A web-based portal for the platform with user authentication (opens in new window)

A design for the website for the project will be developed in consultation with the project partners and key stakeholders. The source code for the website will be written in a high level programming language and will include user authentication via usernames and passwords to access the website. All of the intial content of the website will have been written, including a description of the project and key information about each workpackage and the anticipated deliverables.

Scientific workflows framework for integration of DSS tools, data manipulation algorithms and data sources (opens in new window)

A decomposition scheme will be developed based on the OpenAlea scheme used for plant-pathogen structural models. The scheme is a tool to break down the existing DSS tools into macro components that can be combined together to provide novel DSS tools. A full description of the decomposition scheme will be produced, together with a guide on how to use the scientific workflow framework to build novel DSS.

Library of data manipulation algorithms (opens in new window)

"For the core data manipulations identified from WP2, a set of algorithms will have been identified using a literature search. The algorithms will have been written in a high level programming language (C#) and tested using unit testing. The source code will then be placed into the repository for the project and the algorithms published via the web platform. "

Participate in the Open Research Data Pilot (opens in new window)

Participation in the Open Research Data Pilot

Data management plan agreement (opens in new window)

Data management plan agreement will be drawn up in discussion with the PME and other relevant project participants. This will detail how data will be collected, stored, and accessed in line with the GDPR. This will be a live document updated over the course of the project to reflect any changes or additions.