Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

41.4K
The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
41.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Chu-Style Lacquerware Dataset: A Dataset for Digital Preservation and Inheritance of Chu-Style Lacquerware.

Sensors (Basel, Switzerland)·2025
Same author

SILF Dataset: Fault Dataset for Solar Insecticidal Lamp Internet of Things Node.

Sensors (Basel, Switzerland)·2025
Same author

A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs.

Sensors (Basel, Switzerland)·2023
Same author

Current Status and Prospects of Research on Sensor Fault Diagnosis of Agricultural Internet of Things.

Sensors (Basel, Switzerland)·2023
Same author

Two-Hop Energy Consumption Balanced Routing Algorithm for Solar Insecticidal Lamp Internet of Things.

Sensors (Basel, Switzerland)·2022
Same author

Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism.

Sensors (Basel, Switzerland)·2021
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Key Elements of Photo Attraction Bioassay for Insect Studies or Monitoring Programs
05:17

Key Elements of Photo Attraction Bioassay for Insect Studies or Monitoring Programs

Published on: July 26, 2018

8.1K

SILDSO: Dynamic Switching Optimization Scheme for Solar Insecticidal Lamp Based on Multi-Pest Phototactic Rhythm.

Heyang Yao1, Lei Shu2,3, Xing Yang4

  • 1College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent solar insecticidal lamp control system that optimizes pest management by considering insect behavior and energy levels. The new system significantly improves pest control rates and energy efficiency in smart agriculture applications.

Keywords:
Internet of Thingsenergy managementintelligent switch schememulti-pest phototactic rhythmsolar insecticidal lamp

More Related Videos

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K
Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring
19:14

Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring

Published on: July 12, 2014

15.0K

Related Experiment Videos

Last Updated: Jan 9, 2026

Key Elements of Photo Attraction Bioassay for Insect Studies or Monitoring Programs
05:17

Key Elements of Photo Attraction Bioassay for Insect Studies or Monitoring Programs

Published on: July 26, 2018

8.1K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K
Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring
19:14

Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring

Published on: July 12, 2014

15.0K

Area of Science:

  • Agricultural Science
  • Entomology
  • Smart Agriculture Technology

Background:

  • Grain crops are vital for China's food security, necessitating effective pest control.
  • Traditional solar insecticidal lamps have limitations in energy efficiency and adaptability to multiple pests.
  • Nocturnal phototactic pests like Cnaphalocrocis medinalis and Chilo suppressalis threaten rice yields.

Purpose of the Study:

  • To develop an intelligent switching control optimization scheme for solar insecticidal lamps.
  • To enhance pest control effectiveness and energy efficiency by integrating multi-pest phototactic rhythms.
  • To improve the adaptability of IoT-based solar insecticidal lamps in complex agricultural environments.

Main Methods:

  • Developed a multi-period intelligent switching control scheme based on multi-pest phototactic rhythms.
  • Integrated pest behavioral rhythms, energy consumption, and residual energy levels for dynamic optimization.
  • Employed rhythm modeling and dynamic adjustment mechanisms for precise control.

Main Results:

  • The dynamic switching control scheme improved the average insecticidal rate by 17.7%.
  • Effective insecticidal energy efficiency increased by approximately 66.1%.
  • Energy utilization rate was enhanced by about 38.5% compared to traditional methods.

Conclusions:

  • The proposed intelligent control scheme significantly boosts pest control precision and energy efficiency.
  • This technology promotes sustainable smart agriculture through optimized networked solar insecticidal lamps.
  • Provides a practical reference for intelligent pest management in diverse agricultural settings.