Ignacio Antonio Ciampitti

Orcid: 0000-0001-9619-5129

According to our database1, Ignacio Antonio Ciampitti authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Enhancing Alfalfa Biomass Prediction: An Innovative Framework Using Remote Sensing Data.
Remote. Sens., September, 2024

Detection of Maize Crop Phenology Using Planet Fusion.
Remote. Sens., August, 2024

2023
On-farm soybean seed protein and oil prediction using satellite data.
Comput. Electron. Agric., September, 2023

Mapping crop rotation by satellite-based data fusion in Southern Brazil.
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.
Environ. Model. Softw., March, 2023

The soiltestcorr R package: An accessible framework for reproducible correlation analysis of crop yield and soil test data.
SoftwareX, February, 2023

Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion.
Remote. Sens., February, 2023

2022
metrica: an R package to evaluate prediction performance of regression and classification point-forecast models.
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.
Remote. Sens., 2022

Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification.
Remote. Sens., 2022

Crop type classification in Southern Brazil: Integrating remote sensing, crop modeling and machine learning.
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.
Remote. Sens., 2021

2018
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques.
Remote. Sens., 2018

2016
Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield.
Remote. Sens., 2016


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