This research investigates the application of laser-induced breakdown spectroscopy (LIBS) and machine learning (ML) for detecting elemental composition of food, using rice as an example.
Yuzhu Liu
Advertisement
Articles by Yuzhu Liu
In this paper, a system based on laser induced breakdown spectroscopy (LIBS) and back propagation (BP) method was developed for the composition and traceability analysis of crop burning smoke.
Advertisement
Latest Updated Articles
Laser Induced Breakdown Spectroscopy Combined with a Tuned Back Propagation Algorithm for Oil Crop Straw Combustion Smoke Detection and TraceabilityPublished: November 8th 2024 | Updated: November 19th 2025
- Laser Induced Breakdown Spectroscopy Combined with a Tuned Back Propagation Algorithm for Oil Crop Straw Combustion Smoke Detection and Traceability
Published: November 8th 2024 | Updated: November 19th 2025
In-situ Detection of Rice Using Laser Induced Breakdown Spectroscopy and Machine LearningPublished: March 20th 2025 | Updated:
Advertisement
Advertisement
Trending on Spectroscopy Online
1
New Review Highlights Spectroscopy Breakthroughs in Monitoring Pharmaceutical Fermentation
2
The Advantages of LIBS for Forensic Analysis of Bones and Fossils
3
Best of the Week: Analyzing Bone Chemistry, Pharmaceutical Fermentation, Drug Intelligence
4
Spectroscopy and Chemometrics Pave the Way for Safer, Higher-Quality Food
5
