S. Sabzi

发表

Non-Destructive Estimation of Physicochemical Properties and Detection of Ripeness Level of Apples Using Machine Vision

J. Paliwal, M. Nadimi, Y. Abbaspour‐Gilandeh, 2022, International Journal of Fruit Science.

One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves

J. L. Hernández-Hernández, M. Rohban, R. Pourdarbani, 2021, Applied Sciences.

Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields

Juan Ignacio Arribas, Sajad Sabzi, Yousef Abbaspour-Gilandeh, 2020, Plants.

Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data

J. I. Arribas, R. Pourdarbani, D. Kalantari, 2020 .

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique

E. A. Asli-Ardeh, A. Jahanbakhshi, E. Askari Asli‐Ardeh, 2023, Comput. Biol. Medicine.

Estimation of the Constituent Properties of Red Delicious Apples Using a Hybrid of Artificial Neural Networks and Artificial Bee Colony Algorithm

J. L. Hernández-Hernández, Yousef Abbaspour‐Gilandeh, Sajad Sabzi, 2020, Agronomy.

Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties

Sajad Sabzi, R. Pourdarbani, Sanaz Jarolmasjed, 2020, Applied Sciences.

An Automatic Non-Destructive Method for the Classification of the Ripeness Stage of Red Delicious Apples in Orchards Using Aerial Video

J. M. Molina-Martínez, A. Ruiz-Canales, Ginés García-Mateos, 2019, Agronomy.

Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy

J. Paliwal, M. Rohban, R. Pourdarbani, 2022, Ain Shams Engineering Journal.

Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy

G. García-Mateos, J. Molina-Martínez, D. Parras-Burgos, 2022, Food and Bioprocess Technology.

A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties

J. L. Hernández-Hernández, J. I. Arribas, Sajad Sabzi, 2020, Foods.

Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques

J. I. Arribas, R. Pourdarbani, G. García-Mateos, 2021, Foods.

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions

Ginés García-Mateos, Sajad Sabzi, Razieh Pourdarbani, 2019, Remote. Sens..

Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging

J. I. Arribas, M. Rohban, R. Pourdarbani, 2023, Algorithms.

Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions

Ginés García-Mateos, Juan Ignacio Arribas, Sajad Sabzi, 2021 .

A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars

Amir Mosavi, Sajad Sabzi, Yousef Abbaspour-Gilandeh, 2020 .

Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network

Thomas Panagopoulos, Sajad Sabzi, Razieh Pourdarbani, 2020, Applied Sciences.

A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms

Ginés García-Mateos, Sajad Sabzi, Yousef Abbaspour-Gilandeh, 2018, Comput. Ind..

Machine vision system for the automatic segmentation of plants under different lighting conditions

Sajad Sabzi, Yousef Abbaspour-Gilandeh, Hossein Javadikia, 2017 .

Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages

J. I. Arribas, Sajad Sabzi, R. Pourdarbani, 2020 .

Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data

J. I. Arribas, Yousef Abbaspour‐Gilandeh, Sajad Sabzi, 2020, Tarım Bilimleri Dergisi.

A new approach for visual identification of orange varieties using neural networks and metaheuristic algorithms

Ginés García-Mateos, Sajad Sabzi, Yousef Abbaspour-Gilandeh, 2017 .

A Video Image Segmentation System for the Fruit-trees in Multi-stage Outdoors Orchard under Natural Conditions

Sajad Sabzi, Yousef Abbaspour-Gilandeh, J. I. Arribas, 2019 .

Using video processing to classify potato plant and three types of weed using hybrid of artificial neural network and partincle swarm algorithm

Sajad Sabzi, Yousef Abbaspour-Gilandeh, Yousef Abbaspour‐Gilandeh, 2018, Measurement.

Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves

G. García-Mateos, J. Molina-Martínez, Raziyeh Pourdarbani, 2022, Remote. Sens..

An automatic visible-range video weed detection, segmentation and classification prototype in potato field

J. I. Arribas, Yousef Abbaspour‐Gilandeh, Sajad Sabzi, 2020, Heliyon.

A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges

Juan Ignacio Arribas, Sajad Sabzi, J. I. Arribas, 2018, Comput. Ind..

Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data

J. I. Arribas, R. Pourdarbani, S. Sabzi, 2021, Heliyon.

Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data

J. L. Hernández-Hernández, V. R. Sharabiani, Sajad Sabzi, 2020, Plants.

Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

J. L. Hernández-Hernández, Yousef Abbaspour‐Gilandeh, Sajad Sabzi, 2019, Agronomy.

Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods

V. R. Sharabiani, R. Pourdarbani, M. Szymanek, 2021, Foods.

Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images

G. García-Mateos, J. Molina-Martínez, Raziyeh Pourdarbani, 2023, Electronics.

Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants

J. I. Arribas, Sajad Sabzi, J. Paliwal, 2022, Journal of Near Infrared Spectroscopy.

The Use of the Combination of Texture, Color and Intensity Transformation Features for Segmentation in the Outdoors with Emphasis on Video Processing

Sajad Sabzi, Yousef Abbaspour-Gilandeh, J. L. Hernández-Hernández, 2019, Agriculture.

Segmentation of Apples in Aerial Images under Sixteen Different Lighting Conditions Using Color and Texture for Optimal Irrigation

J. M. Molina-Martínez, A. Ruiz-Canales, Ginés García-Mateos, 2018, Water.

From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging

J. I. Arribas, M. Rohban, R. Pourdarbani, 2023, Horticulturae.

Interpretation of Hyperspectral Images Using Integrated Gradients to Detect Bruising in Lemons

J. Paliwal, R. Pourdarbani, M. Nadimi, 2023, Horticulturae.

Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method

Ginés García-Mateos, Sajad Sabzi, Razieh Pourdarbani, 2020, Comput. Electron. Agric..

A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value

Juan Ignacio Arribas, Sajad Sabzi, Hossein Javadikia, 2020, Measurement.

A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images

Sajad Sabzi, Razieh Pourdarbani, J. I. Arribas, 2020, Comput..

The use of soft computing to classification of some weeds based on video processing

Sajad Sabzi, Yousef Abbaspour-Gilandeh, Hossein Javadikia, 2017, Appl. Soft Comput..

Automatic Classification of Chickpea Varieties Using Computer Vision Techniques

R. Pourdarbani, G. García-Mateos, A. Ruiz-Canales, 2019, Agronomy.

Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images

G. García-Mateos, Raziyeh Pourdarbani, S. Sabzi, 2024, Horticulturae.