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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 4, Issue 1, Pages 125-137, DOI: https://doi.org/10.21307/ijssis-2017-430
License : (CC BY-NC-ND 4.0)
Published Online: 12-December-2017
Optical remote sensing tools are being used in a number of agricultural applications by recording an object's transmission of electromagnetic energy from reflecting and radiating surfaces. This unique spectral information is used to characterize the features of green vegetation. With the development of proximal sensing tools, vegetation or crop health can be determined and monitored in real-time. This information provides an opportunity for precise management of input resources to optimise plant growth and reduce the potential for an adverse environmental effect.
Pasture management is of major importance in New Zealand. This paper describes the operation of multispectral (Crop Circle™ and CROPSCAN™) and hyper spectral sensors (ASD Field Spec® Pro) to explore the pasture quality and quantity. The ability to manage these factors is an important component in grazing, livestock management, and a key driver of animal performance and productivity. The results indicate that these sensors have the potential to assess vegetation characteristics.
 MAF. (2003, Contribution of the Land-based Primary Industries to New Zealand’s Economic Growth. Available: http://www.maf.govt.nz/mafnet/rural-nz/profitability-and-economics/
 C. W. Holmes, et al., Milk production from pasture. Palmerston North, N.Z. :: Butterworths of New Zealand Ltd., 2002.
 R. Houborg and E. Boegh, "Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data," Remote Sensing of Environment, vol. 112, pp. 186-202, 2008.
 J. L. Hatfield, et al., "Application of Spectral Remote Sensing for Agronomic Decisions," Agronomy Journal, vol. 100, 2008.
 E. R. Hunt, et al., "Applications and Research Using Remote Sensing for Rangeland Management," PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, vol. 69, pp. 675-694, 2003.
 P. Williams and K. Norris, Near-infrared technology in the agricultural and food industries. MN 55121, USA: American Association of Cereal Chemists, Inc., 1987.
 Drew, "Leaf structure," in https://dbscience3.wikispaces.com/Drew, ed.
 Y. Ozaki, et al., "Spectral analysis," in Near infrared spectroscopy in food science and technology, Y. Ozaki, et al., Eds., ed New Jersey: Wiley-Interscience, John Wiley & Sons, Inc.: Hoboken 2005.
 O. Mutanga, "Hyperspectral remote sensing of tropical grass quality and quantity," PhD, Wageningen University, Wageningen, The Netherlands, 2004.
 D. Roberts, et al., "Optimization of Crop Canopy Sensor Placement for Measuring Nitrogen Status in Corn," Agronomy Journal, vol. 101, p. 140, 2009.
 R. Darvishzadeh, et al., "Hyperspectral vegetation indices for estimation of leaf area index," in Remote Sensing: From Pixels to Processes, Enschede,Netherlands, 2006.
 G. Chattopadhyay, "Sensor technology at submillimeter wavelengths for Space Applications," International Journal on Smart Sensing and Intelligent Systems, vol. 1, pp. 1-20, March, 2008.
 J. R. J. Jungho Im, "Hyperspectral Remote Sensing of Vegetation," Geography Compass, vol. 2, pp. 1943-1961, 2008.
 R. R. Pullanagari and I. Yule, "Use of Reflectance Sensors to Optimise Nutrient Management," in Nutrient Management in a Rapidly Changing World, Palmerston North, New Zealand, 2009, pp. 70-79.
 J. Rouse, et al., "Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation.," Greenbelt, Md, USAOctober 1973 1974.
 M. Lieschnegg, et al., "Non-invasive characterization of total hip arthroplasty by means of passive acceleration measurement," International Journal on Smart Sensing and Intelligent Systems, vol. 3, pp. 75-87, March, 2010.
 R. A. Viscarra Rossel, "ParLeS: Software for chemometric analysis of spectroscopic data," Chemometrics and Intelligent Laboratory Systems, vol. 90, pp. 72-83, 2008.
 I. D. Sanches, "Hyperspectral Proximal Sensing of the Botanical Composition and Nutrient Content of New Zealand Pastures," PhD, Soil and Earth Sciences, Massey University, Palmerston North, New Zealand, 2010.
 I. J. Yule, et al., "Technologies to improve productivity and reduce environmental impact of dairy systems," presented at the EcoTechs Conference: International workshop:Eco-design Methods and Tools for Agricultural Technologies, Clermont-Ferrand, France, 2010.