1 citations · 1 across the 1 of their papers we have counts for
3 papers
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection
Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki +1
Precise crop yield prediction is essential for improving agricultural practices and ensuring crop resilience in varying climates. Integrating weather data across the growing season…
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang
Experimental corn hybrids are created in plant breeding programs by crossing two parents, so-called inbred and tester, together. Identification of best parent combinations for cros…
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang
Environmental stresses such as drought and heat can cause substantial yield loss in agriculture. As such, hybrid crops that are tolerant to drought and heat stress would produce mo…