Allard de Wit
Plant Science · 2007–2021
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Plant Science — 28 citations into it
- Ecology — 26 citations into it
- Ecology, Evolution, Behavior and Systematics — 17 citations into it
- Global and Planetary Change — 14 citations into it
- Artificial Intelligence — 7 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Allard de Wit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cédric Bacour
- Jerome H. Friedman
- David P. Anderson
- David Ruppert
- Teuvo Kohonen
- Christoph von der Malsburg
- Andrew Crane-Droesch
- W. Verhoef
Who trusts Allard de Wit overall
Papers from Allard de Wit's perspective
Ordered by how strongly the researchers Allard de Wit trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Greedy function approximation: A gradient boosting machine.
- Deep Learning
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Nearest neighbor pattern classification
- Scikit-learn: Machine Learning in Python
- A training algorithm for optimal margin classifiers
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
- Derivation of the red edge index using the MERIS standard band setting
Their papers
- Predicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model (2021) — 50 citations
- Machine learning for large-scale crop yield forecasting (2020) — 312 citations
- Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS experiment (2011) — 156 citations
- A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (2007) — 648 citations