TY  - GEN 
AU  - Palacios Riquelme, Diego Fermín
AU  - Arzamendia López, Mario Eduardo
AU  - Gregor Recalde, Derlis Orlando
AU  - Cikel Jara, Kevin Daniel
AU  - León Ovelar, Laura Regina
AU  - Villagra Riquelme, Marcos Daniel
A4  - Universidad Nacional de Asunción. Facultad de Ingeniería
PY  - 2021
SN  - 2624-7402
UR  - http://hdl.handle.net/20.500.14066/3590
AB  - This work presents an alternative method, referred to as Productivity Index or PI, to quan tify the production of hydroponic tomatoes using computer vision and neural networks, in contrast to other well-known metrics, such as weight and count. This...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute
KW  - 8. Agricultura
KW  - 8.4. Producción y tecnología en la industria alimentaria
KW  - Artificial neural networks
KW  - Digital image processing
KW  - Precision agriculture
TI  - Definition and application of a computational parameter for the quantitative production of hydroponic tomatoes based on artificial neural networks and digital image processing
DO  - 10.3390/agriengineering3010001
VL  - 3
ER  -