Ignacio Antonio Ciampitti

According to our database, Ignacio Antonio Ciampitti authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On-farm soybean seed protein and oil prediction using satellite data.

Carlos Hernandez, Adrian A. Correndo, Peter Kyveryga, Aaron Prestholt, Ignacio Antonio Ciampitti

Comput. Electron. Agric., September, 2023

Mapping crop rotation by satellite-based data fusion in Southern Brazil.

Luan Pierre Pott, Telmo Jorge Carneiro Amado, Raí Augusto Schwalbert, Geomar Mateus Corassa, Ignacio Antonio Ciampitti

Comput. Electron. Agric., August, 2023

The urgency for investment on local data for advancing food assessments in Africa: A review case study for APSIM crop modeling.

Ana J. P. Carcedo, Nilson Vieira Junior, Lucia Marziotte, Adrian A. Correndo, Alemo Araya, P. V. Vara Prasad, Doohong Min, Zachary P. Stewart, Aliou Faye, Ignacio Antonio Ciampitti

Environ. Model. Softw., March, 2023

The soiltestcorr R package: An accessible framework for reproducible correlation analysis of crop yield and soil test data.

Adrian A. Correndo, Austin Pearce, Carl H. Bolster, John T. Spargo, Deanna Osmond, Ignacio Antonio Ciampitti

SoftwareX, February, 2023

Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion.

Adrián Lapaz Olveira, Hernán Saínz Rozas, Mauricio Castro-Franco, Walter Carciochi, Luciana Nieto, Mónica Balzarini, Ignacio Antonio Ciampitti, Nahuel Reussi Calvo

Remote. Sens., February, 2023

2022

metrica: an R package to evaluate prediction performance of regression and classification point-forecast models.

Adrian A. Correndo, Luiz H. Moro Rosso, Carlos Hernández, Leonardo M. Bastos, Luciana Nieto, Dean P. Holzworth, Ignacio Antonio Ciampitti

J. Open Source Softw., November, 2022

Remote Sensing on Alfalfa as an Approach to Optimize Production Outcomes: A Review of Evidence and Directions for Future Assessments.

Danilo Tedesco, Luciana Nieto, Carlos Hernández, Juan F. Rybecky, Doohong Min, Ajay Sharda, Kevin J. Hamilton, Ignacio Antonio Ciampitti

Remote. Sens., 2022

Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification.

Luciana Nieto, Rasmus Houborg, Ariel Zajdband, Arin Jumpasut, P. V. Vara Prasad, Brad J. S. C. Olson, Ignacio Antonio Ciampitti

Remote. Sens., 2022

Crop type classification in Southern Brazil: Integrating remote sensing, crop modeling and machine learning.

Luan Pierre Pott, Telmo Jorge Carneiro Amado, Raí Augusto Schwalbert, Geomar Mateus Corassa, Ignacio Antonio Ciampitti

Comput. Electron. Agric., 2022

2021

Current Status and Future Opportunities for Grain Protein Prediction Using On- and Off-Combine Sensors: A Synthesis-Analysis of the Literature.

Leonardo M. Bastos, Andre Froes de Borja Reis, Ajay Sharda, Yancy Wright, Ignacio Antonio Ciampitti

Remote. Sens., 2021

2018

Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques.

Sebastian Varela, Pruthvidhar Reddy Dhodda, William H. Hsu, P. V. Vara Prasad, Yared Assefa, Nahuel R. Peralta, Terry Griffin, Ajay Sharda, Allison Ferguson, Ignacio Antonio Ciampitti

Remote. Sens., 2018

2016

Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield.

Nahuel R. Peralta, Yared Assefa, Juan Du, Charles J. Barden, Ignacio Antonio Ciampitti

Remote. Sens., 2016