Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Monica Danilevicz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large-scale soybean dataset
Al-Mamun, H. A., Danilevicz, M. F., Marsh, J. I., Gondro, C. & Edwards, D., 10 Sept 2024, (E-pub ahead of print) In: Plant Genome. 20 p., e20503.Research output: Contribution to journal › Article › peer-review
Open Access -
Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning
Mckay, M., Danilevicz, M. F., Ashworth, M. B., Rocha, R. L., Upadhyaya, S. R., Bennamoun, M. & Edwards, D., 6 Jun 2024, In: Remote Sensing. 16, 11, 19 p., 2041.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Genomics-based plant disease resistance prediction using machine learning
Upadhyaya, S. R., Danilevicz, M. F., Dolatabadian, A., Neik, T. X., Zhang, F., Al-Mamun, H. A., Bennamoun, M., Batley, J. & Edwards, D., Dec 2024, In: Plant Pathology. 73, 9, p. 2298-2309 12 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
Image-based crop disease detection using machine learning
Dolatabadian, A., Neik, T. X., Danilevicz, M. F., Upadhyaya, S. R., Batley, J. & Edwards, D., 27 Sept 2024, (E-pub ahead of print) In: Plant Pathology.Research output: Contribution to journal › Review article › peer-review
Open Access -
Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean
Mohamedikbal, S., Al-Mamun, H. A., Marsh, J. I., Upadhyaya, S., Danilevicz, M. F., Nguyen, H. T., Valliyodan, B., Mahan, A., Batley, J. & Edwards, D., 7 Nov 2024, (E-pub ahead of print) In: Plant Genome. 17 p., e20528.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
-
Segmentation of sandplain lupin weeds from morphologically similar narrow-leafed lupins in the field
Furaste Danilevicz, M. (Creator), Rocha, R. L. (Creator), Batley, J. (Creator), Bayer, P. (Creator), Bennamoun, M. (Creator), Edwards, D. (Creator) & Ashworth, M. (Creator), Figshare, 2023
DOI: 10.6084/m9.figshare.21746669.v1, https://figshare.com/articles/dataset/Segmentation_of_sandplain_lupin_weeds_from_morphologically_similar_narrow-leafed_lupins_in_the_field/21746669/1
Dataset
-
Segmentation of sandplain lupin weeds from morphologically similar narrow-leafed lupins in the field
Furaste Danilevicz, M. (Creator), Lujan Rocha, R. (Creator), Batley, J. (Creator), Bayer, P. (Creator), Bennamoun, M. (Creator), Edwards, D. (Creator) & Ashworth, M. (Creator), Figshare, 2023
DOI: 10.6084/m9.figshare.21746669, https://figshare.com/articles/dataset/Segmentation_of_sandplain_lupin_weeds_from_morphologically_similar_narrow-leafed_lupins_in_the_field/21746669
Dataset