selected publications
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article
- Understanding plant phenotypes in crop breeding through explainable AI. Plant Biotechnology Journal. 2025
- Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning. Remote Sensing. 2024
- Genomics‐based plant disease resistance prediction using machine learning. Plant Pathology. 2024
- Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield. Remote Sensing. 2024
- DNABERT-based explainable lncRNA identification in plant genome assemblies. Computational and structural biotechnology journal. 2023
- MCE-ST. International Journal of Applied Earth Observation and Geoinformation. 2023
- Segmentation of Sandplain Lupin Weeds from Morphologically Similar Narrow-Leafed Lupins in the Field. Remote Sensing. 2023
- Evaluating Plant Gene Models Using Machine Learning. Plants (Basel, Switzerland). 2022
- Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction. BMC Plant Biology. 2022
- Plant Genotype to Phenotype Prediction Using Machine Learning. Frontiers in Genetics. 2022
- SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification. Remote Sensing. 2022
- Maize yield prediction at an early developmental stage using multispectral images and genotype data for preliminary hybrid selection. Remote Sensing. 2021
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges. Plant Physiology. 2021
- A high-performance spectral-spatial residual network for hyperspectral image classification with small training data. Remote Sensing. 2020
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