-
Trait Association for Flowering Time in Lentil from Global Multi-Environment Data Using GWAS and Machine Learning
Upadhyaya, SR; Al-Mamun, HA; Danilevicz, MF; Mohamedikbal, S; Bennamoun, M; Batley, J; Bett, KE; Edwards, D
-
Understanding plant phenotypes in crop breeding through explainable AI
Danilevicz, MF; Upadhyaya, SR; Batley, J; Bennamoun, M; Bayer, PE; Edwards, D
-
Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large-scale soybean dataset
Al-Mamun, HA; Danilevicz, MF; Marsh, JI; Gondro, C; Edwards, D
-
Application of machine learning and genomics for orphan crop improvement
Macnish, TR; Danilevicz, MF; Bayer, PE; Bestry, MS; Edwards, D
-
Image-based crop disease detection using machine learning
Dolatabadian, A; Neik, TX; Danilevicz, MF; Upadhyaya, SR; Batley, J; Edwards, D
-
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates
Washburn, JD; Varela, JI; Xavier, A; Chen, QY; Ertl, D; Gage, JL; Holland, JB; Lima, DC; Romay, MC; Lopez-Cruz, M; de los Campos, G; Barber, W;...
-
Genomics-based plant disease resistance prediction using machine learning
Upadhyaya, SR; Danilevicz, MF; Dolatabadian, A; Neik, TX; Zhang, FN; Al-Mamun, HA; Bennamoun, M; Batley, J; Edwards, D
-
Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean
Mohamedikbal, S; Al-Mamun, HA; Marsh, JI; Upadhyaya, S; Danilevicz, MF; Nguyen, HT; Valliyodan, B; Mahan, A; Batley, J; Edwards, D
-
Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield
Shamsuddin, D; Danilevicz, MF; Al-Mamun, HA; Bennamoun, M; Edwards, D
-
Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning
Mckay, M; Danilevicz, MF; Ashworth, MB; Rocha, RL; Upadhyaya, SR; Bennamoun, M; Edwards, D
-
Segmentation of Sandplain Lupin Weeds from Morphologically Similar Narrow-Leafed Lupins in the Field
Danilevicz, MF; Rocha, RL; Batley, J; Bayer, PE; Bennamoun, M; Edwards, D; Ashworth, MB
-
DNABERT-based explainable lncRNA identification in plant genome assemblies
Danilevicz, MF; Gill, M; Fernandez, CGT; Petereit, J; Upadhyaya, SR; Batley, J; Bennamoun, M; Edwards, D; Bayer, PE
-
The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics
Zandberg, JD; Fernandez, CT; Danilevicz, MF; Thomas, WJW; Edwards, D; Batley, J
-
Plant Genotype to Phenotype Prediction Using Machine Learning
Danilevicz, MF; Gill, M; Anderson, R; Batley, J; Bennamoun, M; Bayer, PE; Edwards, D
-
Genetic and Genomic Resources for Soybean Breeding Research
Petereit, J; Marsh, J; Bayer, PE; Danilevicz, MF; Thomas, WJW; Batley, J; Edwards, D
-
Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species
Fernandez, CGT; Nestor, BJ; Danilevicz, MF; Gill, M; Petereit, J; Bayer, PE; Finnegan, PM; Batley, J; Edwards, D
-
Expanding Gene-Editing Potential in Crop Improvement with Pangenomes
Fernandez, CGT; Nestor, BJ; Danilevicz, MF; Marsh, J; Petereit, J; Bayer, PE; Batley, J; Edwards, D
-
The application of pangenomics and machine learning in genomic selection in plants
Bayer, PE; Petereit, J; Danilevicz, MF; Anderson, R; Batley, J; Edwards, D
-
Resources for image-based high-throughput phenotyping in crops and data sharing challenges
Danilevicz, MF; Bayer, PE; Nestor, BJ; Bennamoun, M; Edwards, D
-
Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection
Danilevicz, MF; Bayer, PE; Boussaid, F; Bennamoun, M; Edwards, D
