• Doctor en Informática
    Universidad de Murcia, España
  • Maestro en Ciencias Computacionales
    Instituto Tecnológico de Toluca
  • Licenciado en Informática
    Instituto Tecnológico de Chilpancingo
  • Otros cursos

    Diplomado para la formación de Tutores.

  • Perfil PRODEP (2006-2024)
  • Sistema Nacional de Investigadores Nivel 1 (2021-2024).
  • Sistema Estatal de Investigadores (2013 – 2022).

 

Publicaciones

Año

Artículo

2022

Pourdarbani, R., Ardabili, S., Akbarpouran, E., & Hernandez-Hernandez, J. L. (2022). Exergo-Environmental Optimization of a Diesel Engine. Acta Technologica Agriculturae, 25(3), 157-168. 

Joudi-Sarighayeh, F., Abbaspour-Gilandeh, Y., Kaveh, M., & Hernández-Hernández, J. L. (2022). The Optimization of the Physical–Thermal and Bioactive Properties of Pumpkin Slices Dried in a Hybrid Microwave–Convective Dryer Using the Response Surface Method. Agronomy, 12(10), 2291. 

Fazel-Niari, Z., Afkari-Sayyah, A. H., Abbaspour-Gilandeh, Y., Herrera-Miranda, I., Hernández-Hernández, J. L., & Hernández-Hernández, M. (2022). Quality Assessment of Components of Wheat Seed Using Different Classifications Models. Applied Sciences, 12(9), 4133

Hasanzadeh, B.; Abbaspour-Gilandeh, Y.; Soltani-Nazarloo, A.; Hernández-Hernández, M.; Gallardo-Bernal, I.; Hernández-Hernández, J. L. (2022). Non-Destructive Detection of Fruit Quality Parameters Using Hyperspectral Imaging, Multiple Regression Analysis and Artificial Intelligence. Horticulturae 2022, 8, 598.

2021

Moinfar, A., Shahgholi, G., Abbaspour-Gilandeh, Y., Herrera-Miranda, I., Hernández-Hernández, J. L., & Herrera-Miranda, M. A. (2021). Investigating the effect of the tractor drive system type on soil behavior under tractor tires. Agronomy, 11(4), 696.

Bernal-Catalán, E., Cruz-Gámez, E., Montero-Valverde, J. A., Hernández Reyna, R., & Hernandez-Hernández, J. L. (2021). Detection of Exudates and Microaneurysms in the Retina by Segmentation in Fundus Images. Revista mexicana de ingeniería biomédica, 42(2).    dx.doi.org/10.17488/RMIB.42.2.6   JCR-Q4

Sabzi, S., Pourdarbani, R., Rohban, M. H., Fuentes-Penna, A., Hernández-Hernández, J. L., & Hernández-Hernández, M. (2021). Classification of cucumber leaves based on nitrogen content using the hyperspectral imaging technique and majority voting. Plants, 10(5), 898.  

 Martínez-Arroyo, M., Bello-Ambario, V., Montero-Valverde, J. A., Cruz-Gámez, E. D. L., Hernández-Hernández, M., & Hernández-Hernández, J. L. (2021, November). Emotional Corpus, Feature Extraction and Emotion Classification Using the Parameterized Voice Signal. In International Conference on Technologies and Innovation (pp. 51-64). Springer, Cham

Mirzazadeh, A., Azizi, A., Abbaspour-Gilandeh, Y., Hernández-Hernández, J. L., Hernández-Hernández, M., & Gallardo-Bernal, I. (2021). A novel technique for classifying bird damage to rapeseed plants based on a deep learning algorithm. Agronomy, 11(11), 2364.   

Pourdarbani, R., Sabzi, S., Rohban, M. H., Hernández-Hernández, J. L., Gallardo-Bernal, I., Herrera-Miranda, I., & García-Mateos, G. (2021). One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves. Applied Sciences, 11(24), 11853.   

2020

Pourdarbani, R., Sabzi, S., Kalantari, D., Hernández-Hernández, J. L., & Arribas, J. I. (2020). A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties. Foods, 9(2), 113. 

Abbaspour-Gilandeh, Y., Sabzi, S., Benmouna, B., García-Mateos, G., Hernández-Hernández, J. L., & Molina-Martínez, J. M. (2020). Estimation of the constituent properties of red delicious apples using a hybrid of artificial neural networks and artificial bee colony algorithm. Agronomy, 10(2), 267.  

Abbaspour-Gilandeh, Y., Fazeli, M., Roshanianfard, A., Hernández-Hernández, M., Gallardo-Bernal, I., & Hernández-Hernández, J. L. (2020). Prediction of draft force of a chisel cultivator using artificial neural networks and its comparison with regression model. Agronomy, 10(4), 451. 

Dadashzadeh, M., Abbaspour-Gilandeh, Y., Mesri-Gundoshmian, T., Sabzi, S., Hernández-Hernández, J. L., Hernández-Hernández, M., & Arribas, J. I. (2020). Weed classification for site-specific weed management using an automated stereo computer-vision machine-learning system in rice fields. Plants, 9(5), 559.  

Abbaspour-Gilandeh, Y., Fazeli, M., Roshanianfard, A., Hernández-Hernández, J. L., Fuentes Penna, A., & Herrera-Miranda, I. (2020). Effect of different working and tool parameters on performance of several types of cultivators. Agriculture, 10(5), 145.  

Alibaba, M., Pourdarbani, R., Hasan Khoshgoftar Manesh, M., Herrera-Miranda, I., Gallardo-Bernal, I., & Hernández-Hernández, J. L. (2020). Conventional and Advanced Exergy-Based Analysis of Hybrid Geothermal–Solar Power Plant Based on ORC Cycle. Applied Sciences, 10(15), 5206.

Abbaspour-Gilandeh, Y., Kaveh, M., Fatemi, H., Hernández-Hernández, J. L., Fuentes-Penna, A., & Hernández-Hernández, M. (2020). Evaluation of the changes in thermal, qualitative, and antioxidant properties of terebinth (pistacia atlantica) fruit under different drying methods. Agronomy, 10(9), 1378.   

Gallardo-Bernal, I., Hernández-Hernández, J. L., Carmen Trejo-Ramírez, M. D., & Hernández-Hernández, M. (2020, November). Geographic Information System on Violence Against Women. In International Conference on Technologies and Innovation (pp. 205-220). Springer, Cham.   

Bravo-Reyna, J. L., Montero-Valverde, J. A., Martínez-Arroyo, M., & Hernández-Hernández, J. L. (2020, November). Recognition of the Damage Caused by the Cogollero Worm to the Corn Plant, Using Artificial Vision. In International Conference on Technologies and Innovation (pp. 111-122). Springer, Cham.   

Carranza-Flores, J. L., Martínez-Arroyo, M., Montero-Valverde, J. A., & Hernández-Hernández, J. L. (2020, November). Search for Damage of the Citrus Miner to the Lemon Leaf, Implementing Artificial Vision Techniques. In International Conference on Technologies and Innovation (pp. 85-97). Springer, Cham.   

Pourdarbani, R., Sabzi, S., Hernández-Hernández, M., Hernández-Hernández, J. L., Gallardo-Bernal, I., & Herrera-Miranda, I. (2020). 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. Plants, 9(11), 1547.  

Sharabiani, V. R., Sabzi, S., Pourdarbani, R., Solis-Carmona, E., Hernández-Hernández, M., & Hernández-Hernández, J. L. (2020). 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. Plants, 9(12), 1718.   

Abbaspour-Gilandeh, M., Shahgoli, G., Abbaspour-Gilandeh, Y., Herrera-Miranda, M. A., Hernández-Hernández, J. L., & Herrera-Miranda, I. (2020). Measuring and Comparing Forces Acting on Moldboard Plow and Para-Plow with Wing to Replace Moldboard Plow with Para-Plow for Tillage and Modeling It Using Adaptive Neuro-Fuzzy Interface System (ANFIS). Agriculture, 10(12), 633.  

2019

Sabzi, S., Abbaspour-Gilandeh, Y., Hernandez-Hernandez, J. L., Azadshahraki, F., & Karimzadeh, R. (2019). The use of the combination of texture, color and intensity transformation features for segmentation in the outdoors with emphasis on video processing. Agriculture, 9(5), 104. 

Pourdarbani, R., Sabzi, S., Hernández-Hernández, M., Hernández-Hernández, J. L., García-Mateos, G., Kalantari, D., & Molina-Martínez, J. M. (2019). Comparison of different classifiers and the majority voting rule for the detection of plum fruits in garden conditions. Remote sensing, 11(21), 2546.

Hernández-Hernández, J. L., Hernández-Hernández, M., Sabzi, S., Paredes-Valverde, M. A., & Penna, A. F. (2019, December). A Byte Pattern Based Method for File Compression. In International Conference on Technologies and Innovation (pp. 122-134). Springer, Cham. 

Hernández-Hernández, M., Hernández-Hernández, J. L., Maldonado, E. R., & Miranda, I. H. (2019, December). Modern code applied in stencil in edge detection of an image for architecture Intel Xeon Phi KNL. In International Conference on Technologies and Innovation (pp. 151-163). Springer, Cham. 

Abbaspour-Gilandeh, Y., Sabzi, S., Hernández-Hernández, M., Hernández-Hernández, J. L., & Azadshahraki, F. (2019). Nondestructive estimation of the chlorophyll b of apple fruit by color and spectral features using different methods of hybrid artificial neural network. Agronomy, 9(11), 735.  

2017

Hernández-Hernández, J. L., Hernández-Hernández, M., Feliciano-Morales, S., Álvarez-Hilario, V., & Herrera-Miranda, I. (2017, October). Search for optimum color space for the recognition of oranges in agricultural fields. In International Conference on Technologies and Innovation (pp. 296-307). Springer, Cham. 

González-Esquiva, J. M., García-Mateos, G., Escarabajal-Henarejos, D., Hernández-Hernández, J. L., Ruiz-Canales, A., & Molina-Martínez, J. M. (2017). A new model for water balance estimation on lettuce crops using effective diameter obtained with image analysis. Agricultural Water Management, 183, 116-122.  

González-Esquiva, J. M., García-Mateos, G., Hernández-Hernández, J. L., Ruiz-Canales, A., Escarabajal-Henerajos, D., & Molina-Martínez, J. M. (2017). Web application for analysis of digital photography in the estimation of irrigation requirements for lettuce crops. Agricultural water management, 183, 136-145.  

Hernández-Hernández, J. L., Ruiz-Hernández, J., García-Mateos, G., González-Esquiva, J. M., Ruiz-Canales, A., & Molina-Martínez, J. M. (2017). A new portable application for automatic segmentation of plants in agriculture. Agricultural Water Management, 183, 146-157.