Hide
Show all
Email this article New tree monitoring systems: from Industry 4.0 to Nature 4.0 
Abstract
Recently, Internet of Things (IoT) technologies have grown rapidly and represent now a unique opportunity to improve our environmental monitoring capabilities at extremely low costs. IoT is a new system of thinking in which objects, animals or people are equipped with unique identifiers and transfer data a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, microelectromechanical systems (MEMS) and the Internet. The development of these technologies in environmental monitoring domains allows real-time data transmission and numerous low-cost monitoring points. We have designed a new device, the TreeTalker©, which is capable of measuring water transport in trees, diametrical growth, spectral characteristics of the leaves and microclimatic parameters and transmit data in semi-real time. Here we introduce the device’s features, provide an example of monitored data from a field test site and discuss the application of this new technology to tree monitoring in various contexts, from forest to urban green infrastructures management and ecological research.
Keywords
Full Text:
PDFDOI: http://dx.doi.org/10.12899/asr-1847
References
Allen R.G., Pereira L.S., Raes, D., Smith M. 1998 - Crop evapotranspiration —guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. Food and Agriculture Organization, Rome.
Bayne K., Damesin S., Evans M. 2017 - The internet of things-wireless sensor networks and their application to forestry. New Zealand Journal of Forestry Science 61: 37-41.
Drewa D.M., Downes G.M. 2009 - The use of precision dendrometers in research on daily stem size and wood property variation: A review. Dendrochronologia 27: 159–172.
Granier A. 1985 - Une nouvelle méthode pour la mesure du flux de sève brute dans le tronc des arbres. Annals of Forest Science 42: 193-200.
Gill A. L., Gallinat A. S., Sanders-DeMott R., Rigden A. J., Short Gianotti D. J., Mantooth, J. A., Templer, P. H. 2015 - Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies. Annals of botany 116(6): 875–888. doi:10.1093/aob/mcv055
Herrmann V., McMahon S.M., Detto M., Lutz J.A., Davies S.J. et al. 2016 - Tree Circumference Dynamics in Four Forests Characterized Using Automated Dendrometer Bands. PLOS ONE 11(12): e0169020. doi.org/10.1371/journal.pone.0169020
James K.R., Hallam C. 2013 - Stability of urban trees in high winds. Arboricultural Journal 35(1): 28–35.
Misra S., Mukherjee A., Roy A. 2018 - Knowledge discovery for enabling smart Internet of Things: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8(6): e1276.
Roblek V., Meško M., Krapež, A. 2016 - A Complex View of Industry 4.0. SAGE Open 6(2): 1-11.
Sevanto S., Nikinmaa E., Riikonen A., Daley M., Pettijohn J. C., Mikkelsen T. N., Phillips N., Holbroo N. M. 2008 - Linking xylem diameter variations with sapflow measurements. Plant Soil 305:77–90.
Soudani K., Hmimina G., Delpierre N., Pontailler J.-Y., Aubinet M., Bonal D., Caquet B., de Grandcourt A., Burban B., Flechard C., Guyon D., Granier A., Gross P., Heinesh B., Longdoz B., Loustau D., Moureaux C., Ourcival J.-M., Rambal S., Saint André L., Dufrêne E. 2012 - Ground-based Network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biome. Remote Sensing of Environment 123: 234-245.
Subashini, M.M., Das S., Heble, S., Raj U., Karthik, R. 2018 - Internet of things based wireless plant sensor for smart farming. Indonesian Journal of Electrical Engineering and Computer Science 10(2): 456-468. doi:10.11591/ijeecs.v10.i2.pp456-468
Talavera J.M., Tobón, L.E., Gómez J.A., Culman M.A., Aranda J.M., Parra D.T., Quiroz L.A., Hoyos A., Garreta L.E. 2017 - Review of IoT applications in agro-industrial and environmental fields. Computers and Electronics in Agriculture 142: 283-297.
Yang H., Yang X., Heskel M., Sun S., Tang J. 2017 - Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest. Scientific Reports 7: 1267.
Copyright (c) 2019 Riccardo Valentini, Luca Belelli Marchesini, Damiano Gianelle, Giovanna Sala, Alexey Yarovslavtsev, Viacheslav Vasenev, Simona Castaldi
This work is licensed under a Creative Commons Attribution 4.0 International License.
All texts reported in and all materials directly downloadable from this page are licensed under a Creative Commons Attribution 4.0 International License.