Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
November 30, 2025AgricultureOpen Access

Design and Experiment of a Variable-Rate Spraying System Based on RBFNN-SMC Control

View Full Paper
Ask AI
Bookmark
Share

Authors

CZChen ZhaoWZWei ZhangJLJinyang Li

Discussion

Loading...

Member takes

Overview

Experimental analysis demonstrates RBFNN-SMC control system achieves 3.2% average absolute error in weed control applications.

Key Points

  • RBFNN-SMC control system reduces steady-state error in variable-rate herbicide application.
  • Average absolute error of 3.2% indicates high precision in tracking target flow rates.
  • Control strategy implemented on a microcontroller for enhanced spraying performance.
  • Findings suggest improvements in weed control effectiveness with RBFNN-SMC compared to traditional methods.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/692b94581d383f2b2a378f65https://doi.org/10.3390/agriculture15232444
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy2024 · 4 citations
  2. 2Design and Evaluation of a Robust PID Controller for a Fully Implantable Artificial Pancreas2015 · 91 citations
  3. 3Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage2021 · 67 citations