Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach

A CNN-RNN Framework for Crop Yield Prediction

(2020) Saeed Khaki et al.   Frontiers in Plant Science

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

Maize yield and nitrate loss prediction with machine learning algorithms

(2019) Mohsen Shahhosseini et al.   Environmental Research Letters

Classification of Crop Tolerance to Heat and Drought—A Deep Convolutional Neural Networks Approach

(2019) Saeed Khaki et al.   Agronomy-Basel

Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance

(2018) Juan Manuel González-Camacho et al.   Plant Genome

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation

(2017) Chaoran Cui et al.   ACM Transactions on Intelligent Systems and Technology

Genome-enabled prediction using probabilistic neural network classifiers

(2016) Juan Manuel González-Camacho et al.   BMC GENOMICS

Genome-based prediction of test cross performance in two subsequent breeding cycles

(2012) Nina Hofheinz et al.   THEORETICAL AND APPLIED GENETICS