| Título |
Results on spatio-temporal estimation of temperature and soil moisture in La Colmena (Paraguay) |
| Autores |
MANZANO CRESPO, JOSÉ MARÍA, ORIHUELA ESPINA, DIEGO LUIS, Pacheco, Erid , PEREIRA MARTÍN, MARIO |
| Publicación externa |
No |
| Medio |
IFAC-PapersOnLine |
| Alcance |
Proceedings Paper |
| Naturaleza |
Científica |
| Impacto SJR |
0.35400 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144818799&doi=10.1016%2fj.ifacol.2022.11.150&partnerID=40&md5=76e146e588746f32fec44c164582d238 |
| Fecha de publicacion |
22/11/2022 |
| ISI |
000889052400046 |
| Scopus Id |
2-s2.0-85144818799 |
| DOI |
10.1016/j.ifacol.2022.11.150 |
| Abstract |
This paper presents results on spatio-temporal estimation of agricultural soil variables using a novel methodology, called kinky inference. The methodology is applied to the temperature and soil moisture estimation in a bell pepper (Capsicum annuum) crop in La Colmena, Paraguay. Data is collected with in-situ devices equipped with sensors and endowed with communication capabilities to send the information to the cloud. The proposed methodology is able to learn from the received data, and produces reliable estimations for any spatial and temporal locations. Copyright (C) 2022 The Authors. |
| Palabras clave |
Monitoring of spatially distributed systems; Data-based estimation; Internet of things; Sensors in agriculture; AI in agriculture |
| Miembros de la Universidad Loyola |
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