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Environmentally friendly fungal disease management in protected crop production using plant genetic resources and sensor technology (END-IT)

The aim of the project is to ensure high quality, value added food supply via minimal use of synthetic chemicals by integrating advanced technologies, optical radiation and exploitation of plant genetic resources.

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Ensuring an adequate food supply for the escalating human population is a great challenge. Crop losses and value degradation caused by plant diseases are major constraints to food security globally. Fungicides are important tools in management of plant diseases caused by fungal and oomycete pathogens. However, reliance on fungicides is not sustainable in the long run due to development of fungicide resistance, concerns regarding health effects and costs associated with pesticide removal from water resources. Integration and use of new, non-chemical strategies are therefore crucial for continued production of high-quality food in a sustainable manner.

The END-IT project focuses on systems and strategies for management of fungal diseases with non-chemical options. The project partners are BIOVIT-NMBU (project leader, plant genetic research, optical treatment of fungal diseases), SINTEF (fungal spore detection system), Wageningen University (screening and selection), NIBIO (socio-economic analysis), Bama Gruppen AS (end-user) and Gartnerhallen (end-user).

SINTEF's main contribution to END-IT is development of a technical solution for online detection and quantification of pathogen inoculum presence in the plant surroundings. The innovation includes development of a low-cost field microscope that can sample and image fungal spores which have diameters as small as 5 micrometres, and development of machine vision algorithms that can classify the spores. The system was tested in four different greenhouses during summer 2023. 

Field test in greenhouse with cucumber attacked by powdery mildew.
The developed microscope combines two types of illumination to make a composite red-green image that enhances the difference between spores and dust particles. The smaller fungal spores are around 5 x 10 micrometres in diameter.

The spore detection system will be combined with NMBU's work on optical treatment of fungal diseases, and together this will constitute an optical crop treatment system that ensures sustainable and environmentally friendly crop production of high-quality produce. Improved crop yield, reduced waste, and reduced use of fungicides will increase profitability to society.

Classification results for grey mould (Botrytis cinerea) and cucumber powdery mildew.

Key Factors

Project duration

2020 - 2024

Funded by

Matfondavtalen and Grofondet