Title Results on spatio-temporal estimation of temperature and soil moisture in La Colmena (Paraguay)
Authors MANZANO CRESPO, JOSÉ MARÍA, ORIHUELA ESPINA, DIEGO LUIS, Pacheco, Erid , PEREIRA MARTÍN, MARIO
External publication No
Means IFAC-PapersOnLine
Scope Proceedings Paper
Nature Científica
SJR Impact 0.354
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
Publication date 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.
Keywords Monitoring of spatially distributed systems; Data-based estimation; Internet of things; Sensors in agriculture; AI in agriculture
Universidad Loyola members

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