Listar por autor "Abbaspour_Gilandeh, Yousef"
Mostrando ítems 1-6 de 6
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A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.
Mirzazadeh, Ali; Azizi, Afshin; Abbaspour_Gilandeh, Yousef; Hernández-Hernández, José Luis; Hernández Hernández, Mario; Gallardo Bernal, Iván (Agronomy, 2021-11)Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study ... -
Evaluation of the Changes in Thermal, Qualitative, and Antioxidant Properties of Terebinth (Pistacia atlantica) Fruit underDifferentDryingMethods.
Abbaspour_Gilandeh, Yousef; Kaveh, Mohammad; Hamideh Fatemi; Hernández-Hernández, José Luis; Fuentes_Penna, Alejandro; Hernández Hernández, Mario (Agronomy, 2020-09)This study aims to investigate the effect of different drying methods on the thermal, qualitative, and antioxidant properties and pH of terebinth. To perform the experiments in this study, the hot air (HA), infrared (IR), ... -
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 ... -
Prediction of Draft Force of a Chisel Cultivator Using Artificial Neural Networks and Its Comparison with Regression Model.
Abbaspour_Gilandeh, Yousef; Fazeli, Masoud; Roshanianfard, Ali; Hernández Hernández, Mario; Gallardo Bernal, Iván; Hernández-Hernández, José Luis (Agronomy, 2020-02)In this study, artificial neural networks (ANNs) were used to predict the draft force of a rigid tine chisel cultivator. The factorial experiment based on the randomized complete block design (RCBD) was used to obtain the ... -
Quality Assessment of Components of Wheat Seed Using Different Classifications Models.
Fazel Niari, Zargham; Afkari_Sayyah, Amir H.; Abbaspour_Gilandeh, Yousef; Herrera Miranda, Israel; Hernández-Hernández, José Luis; Hernández Hernández, Mario (Jinsong Bao, 2022-04)To use machine vision technology in visual quality control of cereal seeds, sufficient knowledge is necessary. In this work, the capability of machine visual systems, equipped with industrial digital cameras for the ... -
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 ...