Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
Submitted by Danilo Ricardo Yamane (danilo_yamane@yahoo.com.br) on 2019-01-28T17:15:40Z No. of bitstreams: 1 Tese Yamane (2018).pdf: 2814108 bytes, checksum: f2e102e5809427e8d3d26d0a59971542 (MD5) === Approved for entry into archive by Tatiana Camila Gricio (tatiana.gricio@unesp.br) on 2019-01-28T...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | English |
| Published: |
Universidade Estadual Paulista (UNESP)
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11449/180576 |