| A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I) A Rohani, M Taki, M Abdollahpour Renewable Energy 115, 411-422, 2018 | 193 | 2018 |
| Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse M Taki, Y Ajabshirchi, SF Ranjbar, A Rohani, M Matloobi Energy and Buildings 110, 314-329, 2016 | 139 | 2016 |
| Solar thermal simulation and applications in greenhouse M Taki, A Rohani, M Rahmati-Joneidabad Information processing in agriculture 5 (1), 83-113, 2018 | 135 | 2018 |
| Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models M Taki, A Rohani, F Soheili-Fard, A Abdeshahi Journal of cleaner production 172, 3028-3041, 2018 | 134 | 2018 |
| Modeling and experimental validation of heat transfer and energy consumption in an innovative greenhouse structure M Taki, Y Ajabshirchi, SF Ranjbar, A Rohani, M Matloobi Information Processing in Agriculture 3 (3), 157-174, 2016 | 121 | 2016 |
| Exergoenvironmental damages assessment of horticultural crops using ReCiPe2016 and cumulative exergy demand frameworks F Mostashari-Rad, H Ghasemi-Mobtaker, M Taki, M Ghahderijani, A Kaab, ... Journal of Cleaner Production 278, 123788, 2021 | 110 | 2021 |
| Life cycle assessment to compare the environmental impacts of different wheat production systems M Taki, F Soheili-Fard, A Rohani, G Chen, H Yildizhan Journal of Cleaner Production 197, 195-207, 2018 | 95 | 2018 |
| Applied machine learning in greenhouse simulation; new application and analysis M Taki, SA Mehdizadeh, A Rohani, M Rahnama, M Rahmati-Joneidabad Information processing in agriculture 5 (2), 253-268, 2018 | 88 | 2018 |
| Energy consumption forecasting in agriculture by artificial intelligence and mathematical models E Bolandnazar, A Rohani, M Taki Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42 …, 2020 | 87 | 2020 |
| Assessment of tomato production process by cumulative exergy consumption approach in greenhouse and open field conditions: Case study of Turkey H Yildizhan, M Taki Energy 156, 401-408, 2018 | 70 | 2018 |
| Data supporting midpoint-weighting life cycle assessment and energy forms of cumulative exergy demand for horticultural crops F Mostashari-Rad, H Ghasemi-Mobtaker, M Taki, M Ghahderijani, Z Saber, ... Data in brief 33, 106490, 2020 | 63 | 2020 |
| Energy inputs–yield relationship and sensitivity analysis for tomato greenhouse production in Iran M Taki, R Abdi, M Akbarpour, HG Mobtaker Agricultural Engineering International: CIGR Journal 15 (1), 59-67, 2013 | 59 | 2013 |
| Energy consumption, input–output relationship and cost analysis for greenhouse productions in Esfahan Province of Iran M Taki, Y Ajabshirchi, HG Mobtaker, R Abdi American Journal of Experimental Agriculture 2 (3), 485-501, 2012 | 59 | 2012 |
| Evaluation the sustainable energy applications for fruit and vegetable productions processes; case study: Greenhouse cucumber production M Taki, H Yildizhan Journal of cleaner production 199, 164-172, 2018 | 54 | 2018 |
| Energy consumption and modeling of output energy with multilayer feed-forward neural network for corn silage in Iran M Taki, A Mahmoudi, HG Mobtaker, H Rahbari Agricultural Engineering International: CIGR Journal 14 (4), 93-101, 2012 | 47 | 2012 |
| Application of parametric and non-parametric method to analyzing of energy consumption for cucumber production in Iran M Taki, Y Ajabshirchi, A Mahmoudi Modern Applied Science 6 (1), 75, 2012 | 43 | 2012 |
| Prediction of output energy for wheat production using artificial neural networks in Esfahan province of Iran M Taki, Y Ajabshirchi, A Mahmoudi Journal of Agricultural Technology 8 (4), 1229-1242, 2012 | 41 | 2012 |
| Applied improved RBF neural network model for predicting the broiler output energies S Amini, M Taki, A Rohani Applied Soft Computing 87, 106006, 2020 | 38 | 2020 |
| Machine learning models for prediction the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) for waste-to-energy evaluation M Taki, A Rohani Case Studies in Thermal Engineering 31, 101823, 2022 | 37 | 2022 |
| Measuring the energy and environmental indices for apple (production and storage) by life cycle assessment (case study: Semirom county, Isfahan, Iran) S Naderi, MGN Raini, M Taki Environmental and sustainability indicators 6, 100034, 2020 | 37 | 2020 |
Abbas RohaniDepartment of Biosystems Engineering, Agriculture Ferdowsi University of Mashhad在 um.ac.ir 的电子邮件经过验证
