Precision agriculture using remote monitoring systems in Brazil

Página do item simplificado
dc.contributor.authorRodrigo Maia
dc.contributor.authorNETTO, I.
dc.contributor.authorTRAN, A. L. H.
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-4870-3429
dc.date.accessioned2022-01-12T21:57:43Z
dc.date.available2022-01-12T21:57:43Z
dc.date.issued2017
dc.description.abstract© 2017 IEEE.Soil and nutrient depletion from intensive use of land is a critical issue for food production. An understanding of whether the soil is adequately treated with appropriate crop management practices in real-time during production cycles could prevent soil erosion and the overuse of natural or artificial resources to keep the soil healthy and suitable for planting. Precision agriculture traditionally uses expensive techniques to monitor the health of soil and crops including images from satellites and airplanes. Recently there are several studies using drones and a multitude of sensors connected to farm machinery to observe and measure the health of soil and crops during planting and harvesting. This paper describes a real-time, in-situ agricultural internet of things (IoT) device designed to monitor the state of the soil and the environment. This device was designed to be compatible with open hardware and it is composed of temperature and humidity sensors (soil and environment), electrical conductivity of the soil and luminosity, Global Positioning System (GPS) and a ZigBee radio for data communication. The field trial involved soil testing and measurements of the local climate in Sao Paulo, Brazil. The measurements of soil temperature, humidity and conductivity are used to monitor soil conditions. The local climate data could be used to support decisions about irrigation and other activities related to crop health. On-going research includes methods to reduce the consumption of energy and increase the number of sensors. Future applications include the use of the IoT device to detect fire in crops, a common problem in sugar cane crops and the integration of the IoT device with irrigation management systems to improve water usage.
dc.description.firstpage1
dc.description.lastpage6
dc.description.volume2017-January
dc.identifier.citationMAIA, I.; NETTO, I.; TRAN, A. L. H. Precision agriculture using remote monitoring systems in Brazil. GHTC 2017 - IEEE Global Humanitarian Technology Conference, Proceedings, v. 2017-January, p.1-6, dec. 2017.
dc.identifier.doi10.1109/GHTC.2017.8239290
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3812
dc.relation.ispartofGHTC 2017 - IEEE Global Humanitarian Technology Conference, Proceedings
dc.rightsAcesso Restrito
dc.subject.otherlanguageagri-tech
dc.subject.otherlanguageinternet of things
dc.subject.otherlanguageprecision agriculture
dc.subject.otherlanguageremote monitoring
dc.titlePrecision agriculture using remote monitoring systems in Brazil
dc.typeArtigo de evento
fei.scopus.citations54
fei.scopus.eid2-s2.0-85047478626
fei.scopus.subjectagri-tech
fei.scopus.subjectCrop management practices
fei.scopus.subjectInternet of Things (IOT)
fei.scopus.subjectIrrigation management systems
fei.scopus.subjectRemote monitoring
fei.scopus.subjectRemote monitoring system
fei.scopus.subjectTemperature and humidity sensor
fei.scopus.subjectTesting and measurements
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047478626&origin=inward
Arquivos
Coleções
Artigos