Cargando…
Evaluation of Different Models for Non-Destructive Detection of Tomato Pesticide Residues Based on Near-Infrared Spectroscopy
In this study, the possibility of non-destructive detection of tomato pesticide residues was investigated using Vis/NIRS and prediction models such as PLSR and ANN. First, Vis/NIR spectral data from 180 samples of non-pesticide tomatoes (used as a control treatment) and samples impregnated with pest...
Autores principales: | Nazarloo, Araz Soltani, Sharabiani, Vali Rasooli, Gilandeh, Yousef Abbaspour, Taghinezhad, Ebrahim, Szymanek, Mariusz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123465/ https://www.ncbi.nlm.nih.gov/pubmed/33925882 http://dx.doi.org/10.3390/s21093032 |
Ejemplares similares
-
Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR
por: Rasooli Sharabiani, Vali, et al.
Publicado: (2022) -
Evaluation of engineering properties for waste control of tomato during harvesting and postharvesting
por: Jahanbakhshi, Ahmad, et al.
Publicado: (2019) -
The Quality of Infrared Rotary Dried Terebinth (Pistacia atlantica L.)-Optimization and Prediction Approach Using Response Surface Methodology
por: Kaveh, Mohammad, et al.
Publicado: (2021) -
Response Surface Methodology Approach for Predicting Convective/Infrared Drying, Quality, Bioactive and Vitamin C Characteristics of Pumpkin Slices
por: Joudi-Sarighayeh, Fatemeh, et al.
Publicado: (2023) -
Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods
por: Sharabiani, Vali Rasooli, et al.
Publicado: (2021)