相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Prediction of dry matter content of recently harvested 'Hass' avocado fruits using hyperspectral imaging
Jhon Jairo Vega Diaz et al.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2021)
Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins
Lei Feng et al.
FRONTIERS IN NUTRITION (2021)
Quality estimation of nuts using deep learning classification of hyperspectral imagery
Yifei Han et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
An automated non-destructive prediction of peroxide value and free fatty acid level in mixed nut samples
Iman Tahmasbian et al.
LWT-FOOD SCIENCE AND TECHNOLOGY (2021)
A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification
Long Wen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Determination of 'Hass' avocado ripeness during storage by a smartphone camera using artificial neural network and support vector regression
Byeong-Hyo Cho et al.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION (2021)
Does global food trade close the dietary nutrient gap for the world's poorest nations?
Ozge Geyik et al.
GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT (2021)
Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat
Iman Tahmasbian et al.
REMOTE SENSING (2021)
A Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes
Michael B. Farrar et al.
REMOTE SENSING (2021)
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
Leon Amadeus Varga et al.
2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (2021)
Determination of Hass Avocado Ripeness During Storage Based on Smartphone Image and Machine Learning Model
Byeong-Hyo Cho et al.
FOOD AND BIOPROCESS TECHNOLOGY (2020)
Rapid Determination of Nutrient Concentrations in Hass Avocado Fruit by Vis/NIR Hyperspectral Imaging of Flesh or Skin
Wiebke Kamper et al.
REMOTE SENSING (2020)
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods
Guy S. Handelman et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
Multiple Feature Reweight DenseNet for Image Classification
Ke Zhang et al.
IEEE ACCESS (2019)
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
Zilong Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Avocado by-products: Nutritional and functional properties
Rafael G. Araujo et al.
TRENDS IN FOOD SCIENCE & TECHNOLOGY (2018)
Avocado: characteristics, health benefits and uses
Patricia Fonseca Duarte et al.
CIENCIA RURAL (2016)
Factors associated with postharvest ripening heterogeneity of 'Hass' avocados (Persea americana Mill)
Ignacia Hernandez et al.
FRUITS (2016)
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Yushi Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
A Review of Destructive and Non-destructive Methods for Determining Avocado Fruit Maturity
Lembe Samukelo Magwaza et al.
FOOD AND BIOPROCESS TECHNOLOGY (2015)
Hyperspectral imaging to classify and monitor quality of agricultural materials
S. Mahesh et al.
JOURNAL OF STORED PRODUCTS RESEARCH (2015)
Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning
Jun Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2013)
Avocado consumption is associated with better diet quality and nutrient intake, and lower metabolic syndrome risk in US adults: results from the National Health and Nutrition Examination Survey (NHANES) 2001-2008
Victor L. Fulgoni et al.
NUTRITION JOURNAL (2013)
Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques
Juan Gomez-Sanchis et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression
Mohammed Kamruzzaman et al.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES (2012)
Prediction of beef quality attributes using VIS/NIR hyperspectral scattering imaging technique
Jianhu Wu et al.
JOURNAL OF FOOD ENGINEERING (2012)
Dimensionality reduction based on clonal selection for hyperspectral imagery
Liangpei Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)
Near-infrared hyperspectral. reflectance imaging for detection of bruises on pickling cucumbers
Diwan P. Ariana et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2006)
Hyperspectral scattering for assessing peach fruit firmness
RF Lu et al.
BIOSYSTEMS ENGINEERING (2006)
Measurement of avocado softening at various temperatures using ultrasound
U Flitsanov et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2000)