Digital twin-enhanced phenotyping for Nitrogen Use Efficiency

Technology
In development
University
Scouted & summarized by Halo AI

TWIN-NUE provides a digital twin-enhanced phenotyping framework that combines 3D laser scanning, drone-based sensing, and genomics to predict and optimize Nitrogen Use Efficiency in crops. By simulating plant responses to nitrogen, the platform accelerates breeding for sustainable forage and cereal production.

Overview

The TWIN-NUE project is developing an advanced digital twin-enhanced phenotyping framework designed to optimize Nitrogen Use Efficiency (NUE) in forage grasses and oats. By integrating high-resolution 3D laser-scanning phenotyping with drone-based field sensing and genomics, the project creates virtual models that simulate crop trait dynamics under various nitrogen regimes. This research aims to accelerate the breeding of nitrogen-efficient crops, reducing fertilizer waste and environmental impact while maintaining high yields for the livestock feed sector.

Technical specifications

The framework utilizes the Norwegian Plant Phenotyping Infrastructure (PheNo), including the TraitFinder multispectral 3D laser scanner, which provides non-invasive, daily measurements of canopy architecture, chlorophyll status, and biomass accumulation. Key capabilities include:

  • Construction of AI-driven digital twin models using 3D point cloud and multispectral data.
  • Integration of genomic and transcriptomic datasets to conduct genome-to-phenome analysis.
  • Validation of greenhouse-derived predictions against large-scale field measurements from UAVs, LiDAR-equipped robots, and wireless in-soil sensors.
  • Utilization of machine learning methods, such as CNNs and LSTM models, to simulate and predict plant responses to nitrogen variations.
Technology readiness level

The technology is currently in development (TRL 4). The TWIN-NUE project is an active, multi-year research initiative (2026–2029) hosted at the Norwegian University of Life Sciences. It is currently building out its digital twin simulation environment and establishing phenotyping protocols, with its core infrastructure, such as the TraitFinder system, being deployed for experimental use within the university's research facilities.

Generated Jul 8, 2026. Please verify key information.

About Norwegian University of Life Sciences

NMBU is a comprehensive public research university with about 8,400 students and 1,900 employees, combining broad academic scope with an applied, sustainability-oriented character. Its Ås campus, roughly 40 km south of Oslo, is part of Norway’s leading biosciences cluster and is co-located with NIBIO, Nofima, and the Norwegian Veterinary Institute. Laboratories, experimental facilities, and a modern veterinary building give companies and public-sector partners practical access to research and expertise. Research is supported by the Research Council of Norway, the European Union, and other competitive external sources. Ard Innovation, NMBU’s technology transfer office, supports intellectual property, licensing, commercialization, and startup formation.

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