Mechatronic System for Spectral Monitoring of the Crops Vegetation Status

Article Preview

Abstract:

This paper presents a mechatronic solution for monitoring the crops vegetation status. A data acquisition system containing different types of sensors (multispectral, temperature, plant height, GPS) is placed on a terrestrial mechatronic platform that is carried by a tractor or on an UAV (Unmanned Aerial Vehicle). The multispectral sensor offers information about the reflectance, for discrete wavelengths, necessary to compute the so called vegetation indices. They are correlated with the degree of development and plant health, thermal and water stress, pests, fertilizer need and so on. Knowing these information, a timely intervention is possible, allowing to supply water, pesticide and fertilizer in the proper quantity, at the proper time and in the precise place, leading to major economic impact and significant environmental protection. Geographical information are used for geo-referencing the acquired data, so that the thematic maps to be generated.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

405-410

Citation:

Online since:

January 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ministerul Mediului și Schimbărilor Climatice – Cod de bune practici agricole.

Google Scholar

[2] M. Ruiz-Altisent et al., Sensors for product characterization and quality of specialty crops - A review, Computers and electronics in agriculture, 74 2 (2010), 176-194.

DOI: 10.1016/j.compag.2010.07.002

Google Scholar

[3] L. Bencini et al., Advanced distributed monitoring system for agriculture based on wireless sensor network technology. In: Xin, F.S.Z.A.J. (Ed. ), Proceedings of the 7th World Congress on Computers in Agriculture and Natural Resources. ASABE, Reno, NV, 2009. USA.

DOI: 10.13031/2013.29082

Google Scholar

[4] S. Sankaran, A. Mishra, R. Ehsani, C. Davis, A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture 72 (1) (2010) 1–13.

DOI: 10.1016/j.compag.2010.02.007

Google Scholar

[5] L. Ruiz-Garcia, L. Lunadei, P. Barreiro, J.I. Robla, A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors 9 (6), (2009) 4728–4750.

DOI: 10.3390/s90604728

Google Scholar

[6] Y. S. Kim, J. F. Reid, A. C. Hansen, Q. Zhang, On-field crop stress detection system using multispectral imaging sensor. Agricultural and Biosystems Engineering, 1 (2000) 88-94.

Google Scholar

[7] R. Sui, J. B. Wilkerson, W. E. Hart, L.R. Wilhelm, D.D. Howard, Multi−spectral sensor for detection of nitrogen status in cotton. Applied Engineering in Agriculture 21, 2005, 167-172.

DOI: 10.13031/2013.18148

Google Scholar

[8] T. Grift, Qin Zhang, Naoshi Kondo, K.C. Ting, A review of automation and robotics for the bioindustry, Journal of Biomechatronics Engineering Vol. 1, No. 1, (2008) 37-54.

Google Scholar

[9] D. Lorente et al, Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment, Food and Bioprocess Technology 5 (4) New York: Springer (2012) 1121-1142.

DOI: 10.1007/s11947-011-0725-1

Google Scholar

[10] AK Mahlein et al., Recent advances in sensing plant diseases for precision crop protection, European Journal of Plant Pathology; (2012), 133 1, 197-209, 13p. Special Issue: SI.

DOI: 10.1007/s10658-011-9878-z

Google Scholar

[11] M.S. Borhan, Multispectral and color imaging techniques for nitrate and chlorophyll determination of potato leaves in a controlled environment, Transactions of the ASAE, v. 47, no. 2, (2004) 599-608.

DOI: 10.13031/2013.16023

Google Scholar

[12] I. Puiu, Gh. Olteanu, A. Mărculescu, A. Ghinea, F. Damșa, Soil resources and agricultural crops vegetation status monitoring by using specific and precision sensors. TLS, vol. 2, (2014).

Google Scholar

[13] Raport al Proiectului MoniCult - cod PN-II-PT-PCCA-2013-4-1629, Contract nr. 225/01. 07. (2014).

Google Scholar

[14] O. Hancu, M. Simion, C. Lapusan, Hybrid Analytical Analysis in the Design of Mechatronic Systems, AMM, Vol 762 (2015) 243-248, Trans Tech Publications.

DOI: 10.4028/www.scientific.net/amm.762.243

Google Scholar