Using pattern recognition for estimating cultivar coefficients of a

By M. B. Aval, Gerrit Hoogenboom. 2009

128 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/11a8abff3fb2831e72d8b32e3f90f98f7a8f1b8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Agronomy and Crop Science

1. Siza D. Tumbo
2. N. Amuri
3. S. Mourice
4. C. Rweyemamu

In Ecology, Evolution, Behavior and Systematics

1. Siza D. Tumbo
2. N. Amuri
3. Wim Cornelis
4. S. Mourice
5. C. Rweyemamu

In Plant Science

1. Siza D. Tumbo
2. N. Amuri
3. Wim Cornelis
4. S. Mourice
5. C. Rweyemamu

Citations in the corpus

• Maize Cultivar Specific Parameters for Decision Support System for Agrotechnology Transfer (DSSAT) Application in Tanzania (2014, methodology): “Bannayan and Hoogenboom [13] employed pattern recognition technique, which is based on similarity measures to estimate crop cultivar coefficients for maize.”
• Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric k‐Nearest Neighbor Approach (2013, methodology): “In this study, we used the k-NN technique, which has been considered one of the most attractive pattern-recognition algorithms by several researchers (e.g., Buishand and Brandsma, 2001; Bannayan and Hoogenboom, 2009).”