Miguel Villoslada Peciña - researchr alias

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Viewing Publication 1 - 4 from 4

2021

An Evaluation of the Effects of UAS Flight Parameters on Digital Aerial Photogrammetry Processing and Dense-Cloud Production Quality in a Scots Pine ForestRaul Sampaio de Lima, Mait Lang, Niall G. Burnside, Miguel Villoslada Peciña, Tauri Arumäe, Diana Laarmann, Raymond D. Ward, Ants Vain, Kalev Sepp. remotesensing, 13(6):1121, 2021. [doi]

The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance TrialsKai-Yun Li, Niall G. Burnside, Raul Sampaio de Lima, Miguel Villoslada Peciña, Karli Sepp, Ming-Der Yang, Janar Raet, Ants Vain, Are Selge, Kalev Sepp. remotesensing, 13(10):1994, 2021. [doi]

An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition ApproachesKai-Yun Li, Niall G. Burnside, Raul Sampaio de Lima, Miguel Villoslada Peciña, Karli Sepp, Victor Henrique Cabral Pinheiro, Bruno Rucy Carneiro Alves de Lima, Ming-Der Yang, Ants Vain, Kalev Sepp. remotesensing, 13(16):3190, 2021. [doi]

Machine Learning Classification and Accuracy Assessment from High-Resolution Images of Coastal WetlandsRicardo Martínez Prentice, Miguel Villoslada Peciña, Raymond D. Ward, Thaisa F. Bergamo, Chris B. Joyce, Kalev Sepp. remotesensing, 13(18):3669, 2021. [doi]

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