| A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms S Sabzi, Y Abbaspour-Gilandeh, G Garcia-Mateos Computers in Industry 98, 80-89, 2018 | 128 | 2018 |
| Weed classification for site-specific weed management using an automated stereo computer-vision machine-learning system in rice fields M Dadashzadeh, Y Abbaspour-Gilandeh, T Mesri-Gundoshmian, S Sabzi, ... Plants 9 (5), 559, 2020 | 64 | 2020 |
| A new approach for visual identification of orange varieties using neural networks and metaheuristic algorithms S Sabzi, Y Abbaspour-Gilandeh, G García-Mateos Information processing in agriculture 5 (1), 162-172, 2018 | 59 | 2018 |
| An automatic visible-range video weed detection, segmentation and classification prototype in potato field S Sabzi, Y Abbaspour-Gilandeh, JI Arribas Heliyon 6 (5), 2020 | 58 | 2020 |
| Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique R Hadipour-Rokni, EA Asli-Ardeh, A Jahanbakhshi, S Sabzi Computers in Biology and Medicine 155, 106611, 2023 | 55 | 2023 |
| Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data R Pourdarbani, S Sabzi, D Kalantari, R Karimzadeh, E Ilbeygi, JI Arribas Biosystems Engineering 195, 136-151, 2020 | 53 | 2020 |
| Machine vision system for the automatic segmentation of plants under different lighting conditions S Sabzi, Y Abbaspour-Gilandeh, H Javadikia Biosystems Engineering 161, 157-173, 2017 | 53 | 2017 |
| A combined method of image processing and artificial neural network for the identification of 13 Iranian rice cultivars Y Abbaspour-Gilandeh, A Molaee, S Sabzi, N Nabipur, S Shamshirband, ... Agronomy 10 (1), 117, 2020 | 49 | 2020 |
| Mass modeling of Bam orange with ANFIS and SPSS methods for using in machine vision S Sabzi, P Javadikia, H Rabani, A Adelkhani Measurement 46 (9), 3333-3341, 2013 | 45 | 2013 |
| Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different … R Pourdarbani, S Sabzi, D Kalantari, JI Arribas Chemometrics and Intelligent Laboratory Systems 206, 104147, 2020 | 37 | 2020 |
| A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties R Pourdarbani, S Sabzi, D Kalantari, JL Hernández-Hernández, JI Arribas Foods 9 (2), 113, 2020 | 37 | 2020 |
| Using video processing to classify potato plant and three types of weed using hybrid of artificial neural network and partincle swarm algorithm S Sabzi, Y Abbaspour-Gilandeh Measurement 126, 22-36, 2018 | 37 | 2018 |
| Non-destructive estimation of physicochemical properties and detection of ripeness level of apples using machine vision S Sabzi, M Nadimi, Y Abbaspour-Gilandeh, J Paliwal International Journal of Fruit Science 22 (1), 628-645, 2022 | 36 | 2022 |
| An automatic non-destructive method for the classification of the ripeness stage of red delicious apples in orchards using aerial video S Sabzi, Y Abbaspour-Gilandeh, G García-Mateos, A Ruiz-Canales, ... Agronomy 9 (2), 84, 2019 | 36 | 2019 |
| Comparison of different classifiers and the majority voting rule for the detection of plum fruits in garden conditions R Pourdarbani, S Sabzi, M Hernández-Hernández, ... Remote sensing 11 (21), 2546, 2019 | 33 | 2019 |
| Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions S Sabzi, R Pourdarbani, MH Rohban, G García-Mateos, JI Arribas Chemometrics and Intelligent Laboratory Systems 217, 104404, 2021 | 30 | 2021 |
| Convolutional neural networks for estimating the ripening state of fuji apples using visible and near-infrared spectroscopy B Benmouna, G García-Mateos, S Sabzi, R Fernandez-Beltran, ... Food and Bioprocess Technology 15 (10), 2226-2236, 2022 | 28 | 2022 |
| A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value S Sabzi, H Javadikia, JI Arribas Measurement 152, 107298, 2020 | 27 | 2020 |
| Automatic classification of chickpea varieties using computer vision techniques R Pourdarbani, S Sabzi, VM García-Amicis, G García-Mateos, ... Agronomy 9 (11), 672, 2019 | 27 | 2019 |
| A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges S Sabzi, JI Arribas Computers in Industry 99, 69-82, 2018 | 27 | 2018 |
