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Sensing the future: novel agronomy for resilient farming systems

Project description

New method to uncover deep stored water

Beneath Earth’s surface, there is groundwater – one of the world’s most precious natural resources. It provides an important source of water for organisms in many ecosystems, from plants to animals, especially during droughts. Efficient water use is vital for future agronomic systems, especially in semi-arid and temperate systems. The EU-funded SenseFuture project will utilise novel approaches for continuous deep water sensing to unprecedented depths. Specifically, it will combine aerial canopy temperature imaging and autonomous root phenotyping using convolutional neural networks (CNN). The findings will contribute to formulation of a better decision-support system for farmers and breeders that can assist in overcoming numerous related challenges.

Objective

Future food production relies on efficient water use. This research project will focus on optimizing the utilisation of deep stored water in novel emerging agronomic systems in both semi-arid and temperate systems that incorporate three emerging agronomic interventions that lead to increased systems resilience; (i) altered crop phenology (earlier sowing of slower maturing crops); (ii) dual-purpose crops (used for grazing and grain); and (iii) summer cover crops. The project will utilise novel approaches for continuous deep water sensing to unprecedented depths combined with aerial canopy temperature imaging and autonomous root phenotyping using Convolutional Neural Network (CNN). Novel automated data capture on dynamics of water availability and deep root growth under various farming practices and contrasting soils and environments will also provide a validated dataset for model simulation. As a result, the project will contribute to formulation of a better decision-support system for farmers and breeders that can assist overcoming one of mankinds greatest challenges. The overall project also aligns with the Sustainable Development Goals (SDGs), especially, Goal 2 (sustainable agriculture), Goal 6 (sustainable water management) and Goal 13 (urgent action for climate change) which EU has adopted and committed to implement. As such it is an excellent research and training opportunity for a Marie Skodowska-Global Fellow.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2019

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Coordinator

KOBENHAVNS UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 293 129,28
Address
NORREGADE 10
1165 KOBENHAVN
Denmark

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Region
Danmark Hovedstaden Byen København
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 293 129,28

Partners (1)

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