| Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean M Yoosefzadeh-Najafabadi, HJ Earl, D Tulpan, J Sulik, M Eskandari Frontiers in plant science 11, 624273, 2021 | 172 | 2021 |
| Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant … M Hesami, R Naderi, M Tohidfar, M Yoosefzadeh-Najafabadi Plant methods 16, 1-15, 2020 | 76 | 2020 |
| Application of adaptive neuro-fuzzy inference system-non-dominated sorting genetic Algorithm-II (ANFIS-NSGAII) for modeling and optimizing somatic embryogenesis of Chrysanthemum M Hesami, R Naderi, M Tohidfar, M Yoosefzadeh-Najafabadi Frontiers in plant science 10, 869, 2019 | 75 | 2019 |
| Using hybrid artificial intelligence and evolutionary optimization algorithms for estimating soybean yield and fresh biomass using hyperspectral vegetation indices M Yoosefzadeh-Najafabadi, D Tulpan, M Eskandari Remote Sensing 13 (13), 2555, 2021 | 60 | 2021 |
| Effect of plant growth regulators on indirect shoot organogenesis of Ficus religiosa through seedling derived petiole segments M Hesami, MH Daneshvar, M Yoosefzadeh-Najafabadi, M Alizadeh Journal of Genetic Engineering and Biotechnology 16 (1), 175-180, 2018 | 59 | 2018 |
| Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits M Yoosefzadeh-Najafabadi, D Tulpan, M Eskandari Plos one 16 (4), e0250665, 2021 | 54 | 2021 |
| An efficient in vitro shoot regeneration through direct organogenesis from seedling-derived petiole and leaf segments and acclimatization of Ficus religiosa M Hesami, MH Daneshvar, M Yoosefzadeh-Najafabadi Journal of Forestry Research 30, 807-815, 2019 | 44 | 2019 |
| Establishment of a protocol for in vitro seed germination and callus formation of Ficus religiosa L., an important medicinal plant M Hesami, MH Daneshvar, M Yoosefzadeh-Najafabadi Jundishapur Journal of Natural Pharmaceutical Products 13 (4), 2018 | 39 | 2018 |
| Genome-wide association studies of soybean yield-related hyperspectral reflectance bands using machine learning-mediated data integration methods M Yoosefzadeh-Najafabadi, S Torabi, D Tulpan, I Rajcan, M Eskandari Frontiers in plant science 12, 777028, 2021 | 38 | 2021 |
| Machine learning-assisted approaches in modernized plant breeding programs M Yoosefzadeh Najafabadi, M Hesami, M Eskandari Genes 14 (4), 777, 2023 | 37 | 2023 |
| Optimizing sterilization conditions and growth regulator effects on in vitro shoot regeneration through direct organogenesis in Chenopodium quinoa M Hesami, R Naderi, M Yoosefzadeh-Najafabadi BioTechnologia. Journal of Biotechnology Computational Biology and …, 2018 | 37 | 2018 |
| Data-driven modeling in plant tissue culture M Hesami, R Naderi, M Yoosefzadeh-Najafabadi, M Rahmati J. Appl. Environ. Biol. Sci 7 (8), 37-44, 2017 | 36 | 2017 |
| Machine-learning-based genome-wide association studies for uncovering QTL underlying soybean yield and its components M Yoosefzadeh-Najafabadi, M Eskandari, S Torabi, D Torkamaneh, ... International Journal of Molecular Sciences 23 (10), 5538, 2022 | 35 | 2022 |
| Synergizing off-target predictions for in silico insights of CENH3 knockout in cannabis through CRISPR/CAS M Hesami, M Yoosefzadeh Najafabadi, K Adamek, D Torkamaneh, ... Molecules 26 (7), 2053, 2021 | 34 | 2021 |
| Using Advanced Proximal Sensing and Genotyping Tools Combined with Bigdata Analysis Methods to Improve Soybean Yield M Yoosefzadeh-Najafabadi University of Guelph, 2021 | 28* | 2021 |
| Growth, yield and enzyme activity response of watermelon accessions exposed to irrigation water déficit M Yoosefzadeh Najafabadi, F Soltani, H Noory, JC Díaz-Pérez International Journal of Vegetable Science 24 (4), 323-337, 2018 | 22 | 2018 |
| Optimizing genomic selection in soybean: An important improvement in agricultural genomics M Yoosefzadeh-Najafabadi, I Rajcan, M Eskandari Heliyon 8 (11), 2022 | 20 | 2022 |
| Genome-Wide Association Study Statistical Models: A Review M Yoosefzadeh Najafabadi, M Eskandari, F Belzile, D Torkamaneh Genome-Wide Association Studies 2481, 43–62, 2022 | 18 | 2022 |
| Using advanced proximal sensing and genotyping tools combined with bigdata analysis methods to improve soybean yield M Yoosefzadeh Najafabadi University of Guelph, 2021 | 16 | 2021 |
| High-Throughput Plant Breeding Approaches: Moving Along with Plant-Based Food Demands for Pet Food Industries M Yoosefzadeh Najafabadi, I Rajcan, M Vazin Frontiers in Veterinary Science, 2022 | 14 | 2022 |
Mohsen HesamiUniversity of GuelphVerified email at uoguelph.ca
