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)

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)

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., 2022)

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., 2023)

Detection of Maize Crop Phenology Using Planet Fusion. - Çaglar Senaras; Helen M. Grady; Akhil Singh Rana; Luciana Nieto; Ignacio Antonio Ciampitti; Piers Holden; Timothy Davis; Annett Wania (Remote. Sens., 2024)