Spectral Monitoring of the Crops Vegetation Status in Precision Agriculture

Abstract:

This paper proposes an analysis of spectral monitoring processes of the crop vegetation status. In terms of the extensive implementation of precision agriculture, the performant agricultural management must ensure the monitoring of crop vegetation. In this context, determination and interpretation of vegetation indices, based on spectral data, plays a very important role. The performed research revealed the characteristics of monitoring the status of vegetation in order to obtain the necessary information, ie structure, actions and performances required to achieve an efficient system of monitoring the state of vegetation resources and to obtain the application maps for a precision crop management.precision crop management. This complex system ensures data acquisition and processing, thematic and application maps realization and decision generating on obtaining large productions and quality, on optimizing the economic profits, achieving of an integrated environmental protection and increasing of the sustainability of agricultural systems.

• Periodical: Applied Mechanics and Materials (Volume 811)
• Pages: 236-240
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.811.236
• Online since: November 2015
• Authors: Marius Cristian Luculescu, Luciana Cristea*, Sorin Constantin Zamfira, Ion Barbu
• Keywords: Crops Management, Mechatronic System, Precision Agriculture, Spectral Monitoring

References

[1] A.S. Laliberte, M.A. Goforth, C.M. Steele, A. Rango, Multispectral Remote Sensing from Unmanned Aircraft: IPWARERS; NOV, 2011; 3; 11; p.2529-p.2551.

DOI: 10.3390/rs3112529

[2] Zhang ChunHua, J. M. Kovacs, The application of small unmanned aerial systems for precision agriculture: a review, Precision Agriculture 13 (6) Amsterdam: Springer, 2012, 693-712.

DOI: 10.1007/s11119-012-9274-5

[3] 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.

[4] Raport al Proiectului CLIMHYDEX - cod PNII-ID-2011-2-0073, Contract nr. 5/2012. 05. 11.

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

[6] 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).

[7] Zarco-Tejada, P.J. et al. - Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle, AFM Vol. 171-172, pp.281-294. 14p.

DOI: 10.1016/j.agrformet.2012.12.013

[8] Baluja, J. et al, Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV), Irrigation Science; 30(6), Berlin: Springer- Verlag GmbH, 2012, 511-522 (Journal Article).

DOI: 10.1007/s00271-012-0382-9

[9] Stagakis, S et al., Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices ISPRS Journal Of Photogrammetry And Remote Sensing; Jul, 2012; 71; p.47.

DOI: 10.1016/j.isprsjprs.2012.05.003

[10] B. Richardson, Advances in modelling and decision support systems for vegetation management in young forest plantations, Forestry: IJFR. Jan2006, Vol. 79 Issue 1, pp.29-42. 14p.

DOI: 10.1093/forestry/cpi059

[11] Dorigo, W.A., A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling, In AAERSAES, IJAEOG 9(2): 165-193, (2006).

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

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