Nicolas Federico Martin

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Emailnfmartinillinoisedu

Education/Academic qualification

Crop Sciences, PhD, University of Illinois Urbana-Champaign

Jan 1 2003 → May 1 2006

Award Date: May 1 2006

Keywords

S Agriculture (General)
Analytics

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31 Article
5 Conference contribution
1 Conference article
1 Review article

Yield environment changes the ranking of soybean genotypes
Abdala, L. J., Tamagno, S., Ruiz, A., Schwalbert, R. A., Correndo, A. A. & Martin, N., Feb 1 2025, In: Field Crops Research. 321, 109661.
Research output: Contribution to journal › Article › peer-review
Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm
Pérez, O., Diers, B. & Martin, N. F., Dec 2024, In: Remote Sensing. 16, 23, 4343.
Research output: Contribution to journal › Article › peer-review

Open Access
Spatial and temporal variability of corn response to nitrogen and seed rates
Alesso, C. A. & Martin, N. F., May 1 2024, In: Agronomy Journal. 116, 3, p. 897-916 20 p.
Research output: Contribution to journal › Article › peer-review

Open Access
The nitrogen value of cover crops: How much N can cover crops replace?
Marcillo, G. S., Thapa, R., Mirsky, S. B. & Martin, N., Dec 2024, In: Agricultural and Environmental Letters. 9, 2, e70006.
Research output: Contribution to journal › Article › peer-review

Open Access
Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties
Gilbert, C. & Martin, N., 2024, In: Frontiers in Plant Science. 15, 1310461.
Research output: Contribution to journal › Article › peer-review

Open Access

Management zone maps of little use to corn growers, study finds
Martin, N. F.
10/16/23
1 Media contribution
Press/Media: Research

Nicolas Federico Martin

Personal profile

Education/Academic qualification

Keywords

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Yield environment changes the ranking of soybean genotypes

Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm

Spatial and temporal variability of corn response to nitrogen and seed rates

The nitrogen value of cover crops: How much N can cover crops replace?

Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties

Management zone maps of little use to corn growers, study finds

Nicolas Federico Martin

Personal profile

Education/Academic qualification

Keywords

Fingerprint

Collaborations and top research areas from the last five years

Research output

Yield environment changes the ranking of soybean genotypes

Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm

Spatial and temporal variability of corn response to nitrogen and seed rates

The nitrogen value of cover crops: How much N can cover crops replace?

Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties

Press/Media

Management zone maps of little use to corn growers, study finds