Crispness evaluation of Korla pear based on explainable machine learning: Instrumental mechanical-acoustic synchronously at high sampling rate
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new instrumental method for predicting fruit crispness by fusing mechanical-acoustic signals. The advanced extreme gradient boosting (XGBoost) model accurately assesses pear freshness and texture.
Area Of Science
- Food Science
- Instrumental Analysis
- Machine Learning
Background
- Fruit crispness is vital for texture evaluation, freshness, and consumer acceptance.
- Objective instrumental methods are needed to complement sensory analysis of fruit texture.
Purpose Of The Study
- To develop and validate a novel instrumental method for predicting fruit crispness.
- To enhance the accuracy and reliability of crispness prediction using machine learning.
Main Methods
- Synchronous mechanical-acoustic signal acquisition at a high sampling rate (51,200 Hz).
- Data-level fusion of mechanical-acoustic signals to mimic human perception.
- Feature extraction (26 features) and machine learning model development (XGBoost).
- Shapley Additive Explanations (SHAP) for model interpretability and feature selection.
Main Results
- The extreme gradient boosting (XGBoost) model demonstrated superior performance in crispness prediction.
- An interpretable model using 14 positively contributing features achieved high accuracy (R_P^2 = 0.92, RMSEP = 0.32, RPD = 3.66).
- The proposed method significantly improved crispness prediction accuracy, stability, and reliability.
Conclusions
- Synchronous high-sampling-rate acquisition, data-level fusion, and positive feature selection enhance instrumental crispness prediction.
- The developed method offers a reliable approach for objective crispness measurement in pears.
- This technique is potentially applicable to a wide range of fruits and vegetables.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...