An Integrated Lightweight Neural Network Design and FPGA-Accelerated Edge Computing for Chili Pepper Variety and Origin Identification via an E-Nose
A chili pepper variety and origin detection system that integrates a field-programmable gate array (FPGA) with an electronic nose (e-nose) is proposed in this paper to address the issues of variety confusion and origin ambiguity in the chili pepper market. The system uses the AIRSENSE PEN3 e-nose fr...
Saved in:
| Main Authors: | Ziyu Guo, Yong Yin, Haolin Gu, Guihua Peng, Xueya Wang, Ju Chen, Jia Yan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Foods |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-8158/14/15/2612 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effect of Foliar Spraying with Boron and Ascorbic Acid on Growth and Yield Traits of Chili Pepper Grown in Plastic House
by: Adnan Ghazi Salman Al-nussirawi, et al.
Published: (2024-12-01) -
Design of a Chili Pepper Harvesting Device for Hilly Chili Fields
by: Weikang Han, et al.
Published: (2025-04-01) -
Study of Microwave Technique in Hot Pepper Seed by Different Solvents with an Assessing Antioxidant and Antibacterial Properties
by: Holem H. Balaky, et al.
Published: (2021-06-01) -
The Effect of Planting Media and Liquid Organic Fertilizer Interval on the Growth and Yield of Chili Peppers
by: Haryuni, et al.
Published: (2025-04-01) -
Aflatoxin Contamination and Aflatoxin-producing Strain Screening in Dried Red Chili Peppers From Different Origins
by: Yaoyao Su, et al.
Published: (2025-08-01)