ORIGINAL RESEARCH
Accepted on 20 Mar 2026
- Frontiers in Plant Science
- Crop and Product Physiology
- Research Topics
- Intelligent Evolution: Practice and Breakthrough of Non-destructive Testing Technology for Fruits and Vegetables
Intelligent Evolution: Practice and Breakthrough of Non-destructive Testing Technology for Fruits and Vegetables
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Articles
ORIGINAL RESEARCH
Published on 20 Mar 2026
HASPNet: a hierarchically attentive signal-preserving network for papaya leaf disease classification with explainable deep learning
doi 10.3389/frai.2026.1734865
- 166 views
ORIGINAL RESEARCH
Published on 20 Mar 2026
The mango core quality non-destructive testing and comprehensive harvesting decision-making model based on portable near-infrared spectroscopy technology
doi 10.3389/fpls.2026.1772717
- 122 views
ORIGINAL RESEARCH
Published on 27 Feb 2026
Classification of Lupinus seeds into sweet and bitter categories using VIS–NIR spectroscopy and machine learning
doi 10.3389/frai.2026.1745720
- 368 views
ORIGINAL RESEARCH
Published on 01 Dec 2025
Modeling of table grape soluble solids content, titratable acidity and pH prediction during storage based on Vis-NIR spectroscopy
doi 10.3389/fpls.2025.1723949
- 1,182 views
- 1 citation
ORIGINAL RESEARCH
Published on 12 Nov 2025
Differential concentrations of NaCl and K2Cr2O7 stress conditions: biophoton characteristics and quality prediction feasibility analysis of fresh Nepeta cataria L. leaves
doi 10.3389/fpls.2025.1714452
- 1,109 views
Published in
Frontiers in Plant Science
Crop and Product Physiology
Other participating journals
Frontiers in Artificial Intelligence
- 4.7 impact factor
- 7.3 citescore
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