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» Authors » Sajad Sabzi

Sajad Sabzi

Explore the profile of Sajad Sabzi including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 12
Citations 32
Followers 0
Related Specialties
Biotechnology
Social Sciences
General Medicine
Top 10 Co-Authors
Razieh Pourdarbani
Jose Luis Hernandez-Hernandez
Juan Ignacio Arribas
Mario Hernandez-Hernandez
Gines Garcia-Mateos
Yousef Abbaspour-Gilandeh
Mohammad H Rohban
Jose Miguel Molina-Martinez
Juan I Arribas
Vali Rasooli Sharabiani
Published In
Plants (Basel)
Foods
Heliyon
Appl Opt
Comput Biol Med
Affiliations
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Recent Articles
1.
Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection
Pourdarbani R, Sabzi S, Zohrabi R, Garcia-Mateos G, Fernandez-Beltran R, Molina-Martinez J, et al.
J Food Sci . 2023 Oct; 88(12):5149-5163. PMID: 37876302
Recent advances in hyperspectral imaging (HSI) have demonstrated its ability to detect defects in fruit that may not be visible in RGB images. HSIs can be considered 3D images containing...
2.
Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique
Hadipour-Rokni R, Asli-Ardeh E, Jahanbakhshi A, Esmaili Paeen-Afrakoti I, Sabzi S
Comput Biol Med . 2023 Feb; 155:106611. PMID: 36774891
Plant pests and diseases play a significant role in reducing the quality of agricultural products. As one of the most important plant pathogens, pests like Mediterranean fruit fly cause significant...
3.
Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods
Rasooli Sharabiani V, Sabzi S, Pourdarbani R, Szymanek M, Michalek S
Foods . 2021 Dec; 10(12). PMID: 34945518
Fruits provide various vitamins to the human body. The chemical properties of fruits provide useful information to researchers, including determining the ripening time of fruits and the lack of nutrients...
4.
Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models
Pourdarbani R, Sabzi S, Rohban M, Garcia-Mateos G, Arribas J
Appl Opt . 2021 Nov; 60(30):9560-9569. PMID: 34807100
The present study aims to estimate nitrogen (N) content in tomato (Solanum lycopersicum L.) plant leaves using optimal hyperspectral imaging data by means of computational intelligence [artificial neural networks and...
5.
Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data
Pourdarbani R, Sabzi S, Arribas J
Heliyon . 2021 Sep; 7(9):e07942. PMID: 34589622
Nondestructive estimation of fruit properties during their ripening stages ensures the best value for producers and vendors. Among common quality measurement methods, spectroscopy is popular and enables physicochemical properties to...
6.
Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting
Sabzi S, Pourdarbani R, Rohban M, Fuentes-Penna A, Hernandez-Hernandez J, Hernandez-Hernandez M
Plants (Basel) . 2021 May; 10(5). PMID: 33946780
Improper usage of nitrogen in cucumber cultivation causes nitrate accumulation in the fruit and results in food poisoning in humans; therefore, mandatory evaluation of food products becomes inevitable. Hyperspectral imaging...
7.
Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques
Imanian K, Pourdarbani R, Sabzi S, Garcia-Mateos G, Arribas J, Molina-Martinez J
Foods . 2021 May; 10(5). PMID: 33946235
Potatoes are one of the most demanded products due to their richness in nutrients. However, the lack of attention to external and, especially, internal defects greatly reduces its marketability and...
8.
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
Rasooli Sharabiani V, Sabzi S, Pourdarbani R, Solis-Carmona E, Hernandez-Hernandez M, Hernandez-Hernandez J
Plants (Basel) . 2020 Dec; 9(12). PMID: 33291348
Non-destructive estimation of the internal properties of fruits and vegetables is very important, because better management can be provided for subsequent operations. Researchers and scientists around the world are focusing...
9.
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
Pourdarbani R, Sabzi S, Hernandez-Hernandez M, Hernandez-Hernandez J, Gallardo-Bernal I, Herrera-Miranda I
Plants (Basel) . 2020 Nov; 9(11). PMID: 33198098
Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit...
10.
An automatic visible-range video weed detection, segmentation and classification prototype in potato field
Sabzi S, Abbaspour-Gilandeh Y, Arribas J
Heliyon . 2020 Jun; 6(5):e03685. PMID: 32490222
Weeds might be defined as destructive plants that grow and compete with agricultural crops in order to achieve water and nutrients. Uniform spray of herbicides is nowadays a common cause...