Sajad Sabzi

发表

Non-intrusive image processing Thompson orange grading methods

J. I. Arribas, Yousef Abbaspour‐Gilandeh, Sajad Sabzi, 2017, 2017 56th FITCE Congress.

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.

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.

Developing a Machine Vision System to Detect Weeds from Potato Plant

Sajad Sabzi, Hossein Javadikia, Yousef Abbaspour Gilandeh, 2018 .

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.

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

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

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 .

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.

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.

Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm

J. L. Hernández-Hernández, Sajad Sabzi, R. Pourdarbani, 2020, Plants.

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.

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.

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.