Rebecca J. Nelson
Plant Science · 2004–2017
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Plant Science — 50 citations into it
Whom Rebecca J. Nelson trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. G. Arnal Barbedo (in Plant Science)
Papers from Rebecca J. Nelson's perspective
Ordered by how strongly the researchers Rebecca J. Nelson trusts endorse each paper. Same corpus, a different order for every researcher.
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Deep Learning
- Machine Learning for High-Throughput Stress Phenotyping in Plants. (Trends in Plant Science)
- Money matters (II): costs of maize inbred line conversion schemes at CIMMYT using conventional and marker-assisted selection (Molecular breeding)
- Money matters (I): costs of field and laboratory procedures associated with conventional and marker-assisted maize breeding at CIMMYT (Molecular breeding)
- Dwarf8 polymorphisms associate with variation in flowering time (Nature Genetics)
- fw2.2: a quantitative trait locus key to the evolution of tomato fruit size. (Science)
- Using Deep Learning for Image-Based Plant Disease Detection
- The ecological risks and benefits of genetically engineered plants. (Science)
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Their papers
- Biotechnology in the developing world: a case for increased investments in orphan crops (2004) — 228 citations
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning. (2017) — 353 citations
- Maize HapMap2 identifies extant variation from a genome in flux (2012) — 594 citations
- Shades of gray: the world of quantitative disease resistance. (2009) — 688 citations