Browsing by Author "Sabzi, Sajad"
Now showing items 1-7 of 7
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A Byte Pattern Based Method for File Compression.
Hernández-Hernández, José Luis; Hernández Hernández, Mario; Sabzi, Sajad; Paredes Valverde, Mario Andres; Fuentes Penna, Alejandro (Communications in Computer and Information Science book, 2019-08)This research presents a method to allows the data compression from a file containing any type of information by combining the pattern theory with the theory of data compression. This proposal can reduce the storage space ... -
Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.
Sabzi, Sajad; Pourdarbani, Razieh; Rohban, Mohammad Hossein; Fuentes_Penna, Alejandro; Hernández-Hernández, José Luis; Hernández Hernández, Mario (Plants, 2021-04)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 ... -
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
Pourdarbani, Razieh; Sabzi, Sajad; Hernández Hernández, Mario; Hernández-Hernández, José Luis; García_Mateos, Ginés; Kalantari, Davood; Molina Martínez, José Miguel (Remote Sens, 2019-10)Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific ... -
Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most EffectiveWavelengths Using Hybrid Artificial Neural Network-Imperialist Competitive Algorithm.
Pourdarbani, Razieh; Sabzi, Sajad; Hernández Hernández, Mario; Hernández-Hernández, José Luis; Gallardo Bernal, Iván; Herrera Miranda, Israel (Plants, 2020-11)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 growth, ... -
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, Vali; Sabzi, Sajad; Pourdarbani, Razieh; Solis Carmona, Edgardo; Hernández Hernández, Mario; Hernández-Hernández, José Luis (Plants, 2020-12)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 ... -
Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network.
Abbaspour_Gilandeh, Yousef; Sabzi, Sajad; Hernández Hernández, Mario; Hernández-Hernández, José Luis; Azadshahraki, Farzad (Agronomy, 2019-11)Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry. The reason for this development is that the estimation is ... -
Weed Classification for Site-SpecificWeed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
Dadashzadeh, Mojtaba; Abbaspour_Gilandeh, Yousef; Mesri Gundoshmian, T.; Sabzi, Sajad; Hernández-Hernández, José Luis; Hernández Hernández, Mario; Arribas, Juan (Plants, 2020-04)Site-specific weed management and selective application of herbicides as eco-friendly techniques are still challenging tasks to perform, especially for densely cultivated crops, such as rice. This study is aimed at developing ...