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Robotic Sensing and Stimuli Provision for Guided Plant Growth
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Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Sensor architecture and task classification for agricultural vehicles and environments.

Francisco Rovira-Más1

  • 1Departamento de Ingeniería Rural y Agroalimentaria, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain. frovira@dmta.upv.es

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary

Autonomous agricultural vehicles are advancing rapidly due to GPS and electronics. This study proposes a sensor architecture for enhanced safety and operation in smart farming.

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Area of Science:

  • Agricultural Engineering
  • Robotics
  • Sensor Systems

Background:

  • The increasing autonomy of agricultural vehicles is driven by advancements in global positioning satellite (GPS) systems and computing technology.
  • Agricultural vehicles are at the forefront of integrating commercial automatic navigation systems among self-propelled ground machines.
  • Despite progress, challenges remain in sensor selection, data processing, and control strategies for intelligent agricultural vehicles.

Purpose of the Study:

  • To analyze typical agricultural environments and propose an optimized sensor architecture for autonomous vehicles.
  • To address the complexity of intelligent vehicle design by focusing on sensor networks and coordination.
  • To develop a sensor architecture supporting safety, operational information, and automatic actuation layers.
Keywords:
intelligent vehiclesoff-road autonomous vehiclesprecision agricultureroboticssensor architecture

Related Experiment Videos

Last Updated: May 26, 2026

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Main Methods:

  • Analysis of diverse agricultural field environments and operational situations.
  • Proposal of a sensor architecture integrating four subsystems: global localization, feedback control and vehicle pose, non-visual monitoring, and local perception.
  • Design of an architecture aligned with three functional layers: safety, operative information, and automatic actuation.

Main Results:

  • A novel sensor architecture tailored for autonomous agricultural vehicles has been designed and analyzed.
  • The proposed architecture effectively groups sensors into specialized subsystems for comprehensive vehicle awareness.
  • The architecture supports layered vehicle tasks, enhancing safety, providing operational insights, and enabling automatic control.

Conclusions:

  • The developed sensor architecture is crucial for the future deployment of advanced autonomous agricultural vehicles.
  • The architecture's success is demonstrated by its implementation and testing in various agricultural vehicles over ten years.
  • Key strengths include its capacity for redundancy integration and practical incorporation of emerging technologies.