IPM Decisions - Research outputs

As part of the development of the IPM Decisions platform, we carried out additional research and development both on the technical and social aspects relating to improving access to and uptake of decision support systems for IPM. The results of this work have been published, and links are provided below.

Research relating to the development and validation of IPM DSS:

Jørgensen, L.N., et al. (2020) Validation of risk models for control of leaf blotch diseases in wheat in the Nordic and Baltic countries. European Journal of Plant Pathology, 157, 599-613

Midingoyi C.A., et al. (2020) Reuse of process-based models: automatic transformation into many programming languages and simulation platforms. In silico Plants, 2(1)

Holst N. (2020) Mathematical models. In: Chantre G.R. & González-Andujar J.L. eds. Decision Support Systems for Weed Management. Berlin, Springer Verlag, 3-23

Andersson, B., et al. (2022) Comparison of models for leaf blotch disease management in wheat based on historical yield weather data in the Nordic-Baltic region. Agronomy for Sustainable Development 42-44

Jørgensen, L. N. et al. (2021) Using risk models for control of leaf blotch diseases in barley minimises fungicide use – experiences from the Nordic and Baltic countries. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 71:247-260

Jalli, M, et al. (2020) Yield increases due to fungicide control of leaf blotch diseases in wheat and barley as a basis for IPM decision-making in the Nordic-Baltic region. European Journal of Plant Pathology

Midingoyi, C.A., et al. (2023) Crop modeling frameworks interoperability through bidirectional source code transformation. Environment Modelling & Software

Akbarinia R. et al (2023) Life Science Workflow Services (LifeSWS): motivations and architecture, Transactions on Large-Scale Data- and Knowledge-Centered Systems, 14280, pp.1-24.

Helps J. et al (2024) A framework for evaluating the value of agricultural pest management decision support systems. European Journal of Plant Pathology

Research relating to the practical application of IPM DSS:

Ramsden, M. and O’Driscol A. (2022) Advances in decision support systems (DSS) for integrated pest management in horticultural crops. In book: Improving integrated pest management in horticulture.

Ramsden, M., et al. (2023) Advances in pest risk assessment techniques focusing on invertebrate pests of European outdoor crops. In book: Advances in monitoring of native and invasive insect pests of crops.

Leybourne D., et al. (2023) Online decision support systems, remote sensing and artificial intelligence applications for wheat pest management. In book: Advances in understanding insect pests affecting wheat and other cereals

Levionnois S., et al. (2023) Modelling the impact of proportion, sowing date, and architectural traits of a companion crop on foliar fungal pathogens of wheat in crop mixtures. Phytopathology.

Research relating to the incentives and barriers to the uptake of IPM DSS:

Marinko J., et al. (2023) Incentives and barriers to adoption of decision support systems in integrated pest management among farmers and farm advisors in Europe. International Journal of pest Management

Marinko, J., et al. (2024) Typology for Decision Support Systems in Integrated Pest Management and Its Implementation as a Web Application. Agronomy

Akaka J. et al (2024) Decision Support Systems adoption in pesticide management. Open Research Europe

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Integrated Pest Management (IPM) is based on a diversity of pest management measures (prevention, non-chemical control, best practices for optimizing pesticide efficiency, etc.). These are combined at the farm level to enable reduced reliance on pesticides, and therefore a decrease in the exposure of the environment and people to pesticides.

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Rothamsted Research is a world-leading, non-profit research centre that focuses on strategic agricultural science to the benefit of farmers and society worldwide.

IPM Decisions

The IPM Decisions project will create an online platform that is easy to use for the monitoring and management of pests. Access the platform now at https://platform.ipmdecisions.net/ Co-funded by the Horizon 2020 Framework Programme of the European Union Under grant agreement No 817617

IPMWORKS

An EU-Wide Farm Network Demonstrating and promoting cost-effective IPM Strategies.

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