Articles
Smart sensing and imaging systems for a digital twin of apple production
Article number
1395_14
Pages
103 – 110
Language
English
Abstract
The imagined digital twins for perennial horticulture will require physical sensing systems able to close the loop between the physical and virtual orchards.
Plant & Food Research have embarked on work to build a digital twin of apple production and supply chain ecosystems.
Smart Sensing and Imaging Systems is a programme within this work which aims to deliver the technology advances in field-deployable measurement devices.
We are exploring technologies to deliver tree-level metrics suitable for functional-structural plant modelling at an orchard scale.
Focusing principally on 3D reconstruction using rigidly mounted camera arrays we hope to develop automated systems for organ-level segmentation and measurement.
We are developing micro-climate sensors to be able to explore high spatial frequency metrics of the environment, particularly for air conditions and light radiation.
A proximal sensor system for rapid non-destructive assessment of fruit quality is also under development, as are field-deployable molecular and volatile measurement tools to enable plant-as-a-sensor type signals in the orchard.
Plant & Food Research have embarked on work to build a digital twin of apple production and supply chain ecosystems.
Smart Sensing and Imaging Systems is a programme within this work which aims to deliver the technology advances in field-deployable measurement devices.
We are exploring technologies to deliver tree-level metrics suitable for functional-structural plant modelling at an orchard scale.
Focusing principally on 3D reconstruction using rigidly mounted camera arrays we hope to develop automated systems for organ-level segmentation and measurement.
We are developing micro-climate sensors to be able to explore high spatial frequency metrics of the environment, particularly for air conditions and light radiation.
A proximal sensor system for rapid non-destructive assessment of fruit quality is also under development, as are field-deployable molecular and volatile measurement tools to enable plant-as-a-sensor type signals in the orchard.
Authors
R.J. Oliver, K.M. Chooi
Keywords
proximal sensing, functional-structural plant modelling, perennial crop imaging
Groups involved
- Division Temperate Tree Nuts
- Division Vine and Berry Fruits
- Division Temperate Tree Fruits
- Division Precision Horticulture and Engineering
- Division Plant-Environment Interactions in Field Systems
- Division Tropical and Subtropical Fruit and Nuts
- Working Group Precision Management of Orchards and Vineyards
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