| Evaluation of support vector machine and artificial neural networks in weed detection using shape features A Bakhshipour, A Jafari Computers and Electronics in Agriculture 145, 153-160, 2018 | 282 | 2018 |
| Weed segmentation using texture features extracted from wavelet sub-images A Bakhshipour, A Jafari, SM Nassiri, D Zare Biosystems Engineering 157, 1-12, 2017 | 180 | 2017 |
| Prediction of banana quality indices from color features using support vector regression A Sanaeifar, A Bakhshipour, M De La Guardia Talanta 148, 54-61, 2016 | 143 | 2016 |
| Recent advances in E-monitoring of plant diseases A Mohammad-Razdari, D Rousseau, A Bakhshipour, S Taylor, J Poveda, ... Biosensors and Bioelectronics 201, 113953, 2022 | 51 | 2022 |
| Evaluation of data mining strategies for classification of black tea based on image-based features A Bakhshipour, A Sanaeifar, SH Payman, M de la Guardia Food analytical methods 11, 1041-1050, 2018 | 41 | 2018 |
| Application of decision trees and fuzzy inference system for quality classification and modeling of black and green tea based on visual features A Bakhshipour, H Zareiforoush, I Bagheri Journal of Food Measurement and Characterization 14 (3), 1402-1416, 2020 | 39 | 2020 |
| Physical properties of cumin and caraway seeds D Zare, A Bakhshipour, G Chen International Agrophysics 27 (4), 491-494, 2013 | 36 | 2013 |
| Vision based features in moisture content measurement during raisin production A Bakhshipour, A Jafari, A Zomorodian World Appl. Sci. J 17 (17), 860-869, 2012 | 31 | 2012 |
| Cascading feature filtering and boosting algorithm for plant type classification based on image features A Bakhshipour IEEE Access 9, 82021-82030, 2021 | 23 | 2021 |
| Development of an expert vision-based system for inspecting rice quality indices SH Payman, A Bakhshipour, H Zareiforoush Quality Assurance and Safety of Crops & Foods 10 (1), 103-114, 2018 | 19 | 2018 |
| Advancing precision agriculture: The potential of deep learning for cereal plant head detection A Sanaeifar, ML Guindo, A Bakhshipour, H Fazayeli, X Li, C Yang Computers and Electronics in Agriculture 209, 107875, 2023 | 18 | 2023 |
| Mathematical and intelligent modeling of stevia (Stevia Rebaudiana) leaves drying in an infrared‐assisted continuous hybrid solar dryer A Bakhshipour, H Zareiforoush, I Bagheri Food Science & Nutrition 9 (1), 532-543, 2021 | 18 | 2021 |
| Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features A Bakhshipour, H Zareiforoush Plant methods 16 (1), 153, 2020 | 11 | 2020 |
| Sustainable second-generation biofuel production potential in a developing country case study A Nikkhah, I Bagheri, C Psomopoulos, SH Payman, H Zareiforoush, ... Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 …, 2023 | 10 | 2023 |
| Inspection of quince slice dehydration stages based on extractable image features A Jafari, A Bakhshipour | 10 | 2014 |
| Monitoring Botrytis cinerea Infection in Kiwifruit Using Electronic Nose and Machine Learning Techniques N Haghbin, A Bakhshipour, S Mousanejad, H Zareiforoush Food and Bioprocess Technology 16 (4), 749-767, 2023 | 9 | 2023 |
| Recognition of pomegranate on tree and stereoscopic locating of the fruit A Bakhshipour, A Jafari, SM Hosseini American-Eurasian Journal of Agricultural & Environmental Sciences 12 (10 …, 2012 | 8 | 2012 |
| Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics N Haghbin, A Bakhshipour, H Zareiforoush, S Mousanejad Plant Methods 19 (1), 53, 2023 | 7 | 2023 |
| An overview to current status of waste generation, management and potentials for waste-to-energy (Case study: Rasht City, Iran) A Bakhshipour, I Bagheri, C Psomopoulos, H Zareiforoush Caspian Journal of Environmental Sciences 19 (1), 159-171, 2021 | 7 | 2021 |
| Integration of Color Features and Artificial Neural Networks for In-Field Recognition of Saffron Flower A Jafari, A Bakhshipour, R Hemmatian Iran Agricultural Research 33 (1), 2014 | 6 | 2014 |
Abdolabbas JafariLincoln University, Lincoln Agritech Ltd.Verified email at lincolnagritech.co.nz
