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  11. Digital Twins In Agriculture: Orchestration And Applications

Digital Twins in Agriculture: Orchestration and Applications

Marc Escribà-Gelonch1, Shu Liang1,2,3, Pieter van Schalkwyk4

  • 1Higher Polytechnic Engineering School, University of Lleida, Lleida 25001, Spain.

Journal of Agricultural and Food Chemistry
|May 6, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Digital Twins offer precision farming by creating virtual crop replicas for real-time management. This technology enhances decision-making, boosting sustainability and resource savings in agriculture.

Area of Science:

  • Agricultural Science
  • Computer Science
  • Engineering

Background:

  • Digital Twins are transforming precision farming by creating virtual replicas of crops and farm operations.
  • This technology integrates with Agriculture 4.0 advancements for enhanced farm management.
  • It offers significant potential for optimizing resource use and increasing sustainability.

Purpose of the Study:

  • To critically review Digital Twin technology within the context of precision agriculture.
  • To analyze the application of Digital Twins across the agricultural lifecycle.
  • To identify the benefits, limitations, and challenges of implementing Digital Twins in farming.

Main Methods:

  • Review of existing literature and case studies on Digital Twin applications in agriculture.
Keywords:
Digital TwinsIndustry 4.0Internet of Thingsagriculture 4.0

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  • Analysis of Digital Twin integration with precision agriculture and Agriculture 4.0 concepts.
  • Structured organization of findings based on agricultural lifecycle stages (edaphic, phytotechnologic, postharvest, infrastructure).

    • Main Results:

    • Digital Twins enable real-time monitoring and management of agronomic aspects like irrigation, fertilization, and pest control.
    • Case studies demonstrate direct benefits in agricultural production and supply chain efficiency.
    • Identified benefits include increased sustainability and savings in water, fertilizer, and pesticide use.

    Conclusions:

    • Digital Twins represent a significant advancement for precision farming, supporting data-driven decision-making.
    • Successful implementation requires addressing challenges related to data management and operational complexity.
    • The technology holds substantial promise for improving agricultural productivity and resource efficiency.
    precise agriculture