Milad Eskandari

Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean

Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan et al. · Frontiers in Plant Science · 2021 · 231 citations · Full text

Agriculture, Plant Breeding, Plant Sciences +17

Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices

Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari · Remote Sensing · 2021 · 79 citations · Full text

Agriculture, Agronomy, Plant Breeding +17

Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components

Mohsen Yoosefzadeh-Najafabadi, Milad Eskandari, Sepideh Torabi et al. · International Journal of Molecular Sciences · 2022 · 68 citations · Full text

Agriculture, Plant Breeding, Plant Sciences +13

Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits

Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari · PLoS ONE · 2021 · 62 citations · Full text

Agriculture, Agronomy, Crop Sciences +16

Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods

Mohsen Yoosefzadeh-Najafabadi, Sepideh Torabi, Dan Tulpan et al. · Frontiers in Plant Science · 2021 · 60 citations · Full text

Agriculture, Crop Sciences, Plant Breeding +17