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An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture

Agriculture

An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture

S. Kim and S. Heo

This groundbreaking study conducted by Steven Kim and Seong Heo investigates the creation of an agricultural digital twin utilizing mandarins as a model crop. By aggregating data from Jeju Island and performing detailed analyses, the research demonstrates the potential of digital twins for individualized agricultural practices.

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Playback language: English
Abstract
This study explores the creation of an agricultural digital twin (DT) using mandarins as a model crop. Data from various sources across Jeju Island were aggregated using an Open API, visualized, and analyzed at regional, inter-orchard, and intra-orchard scales. Intra-orchard analysis showed a substantially greater explanation of fruit quality variation than inter-orchard analysis. The results demonstrate the potential of agricultural DTs for micro-precision and individualized agriculture, enabling customized plant treatment.
Publisher
Nature Communications
Published On
Feb 20, 2024
Authors
Steven Kim, Seong Heo
Tags
agricultural digital twin
mandarins
data aggregation
fruit quality
precision agriculture
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