Ángel Maresma

According to our database, Ángel Maresma authored at least 4 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2020

Accuracy of NDVI-derived corn yield predictions is impacted by time of sensing.

Ángel Maresma, Lindsay Chamberlain, Aristotelis C. Tagarakis, Tulsi Kharel, Greg Godwin, Karl J. Czymmek, Elson Shields, Quirine M. Ketterings

Comput. Electron. Agric., 2020

2018

Use of Multispectral Airborne Images to Improve In-Season Nitrogen Management, Predict Grain Yield and Estimate Economic Return of Maize in Irrigated High Yielding Environments.

Ángel Maresma, Jaume Lloveras, José A. Martínez-Casasnovas

Remote. Sens., 2018

Erratum: Maresma, A., et al. Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (<i>Zea mays</i> L.) from a Standard UAV Service. <i>Remote Sens.</i> 2017, <i>9</i>, 648.

Ángel Maresma, Mar Ariza, Elías Martínez, Jaume Lloveras, José A. Martínez-Casasnovas

Remote. Sens., 2018

2016

Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (<i>Zea mays</i> L.) from a Standard UAV Service.

Ángel Maresma, Mar Ariza, Elías Martínez, Jaume Lloveras, José A. Martínez-Casasnovas

Remote. Sens., 2016