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The use of a laser scanner for measuring crop properties in three different crops in Central Greece

  • Conference paper
Precision agriculture ’13

Abstract

A sensing platform using a laser scanner was developed for data collection for the crop in the field. Crop height and biomass from three crops (sunflower, soybeans and winter wheat) were estimated. The sensing platform was mounted on a tractor, ran along the crop and measured the crop height and biomass. The relevant crop parameters were measured manually and compared to the values estimated based on instrument measurements. High correlation coefficients were generally observed and varied according to the growth stage of the crop. The correlation was both high for estimating crop height (r2=0.94 to r2=0.90) and for biomass mass (r2=0.879 to r2=0.83).

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References

  • Arnó, J., Escolà, A., Vallès, J.M., Sanz, R., Masip, J., Palacín, J. and Rosell, J.R. 2009. Use of a ground-based LIDAR scanner to measure leaf area and canopy structure variability of grapevines. In: (Eds.) C. Lokhorst, J. Huijmans and R. de Louw, Proceedings of 7th European Conference on Precision Agriculture, Wageningen Academic Publishers, the Netherlands, pp.177-184.

    Google Scholar 

  • Barawid, O.C., Mizushima, A., Kazunobu, I. and Noguchi, N. 2007. Development of an Autonomous Navigation System using a Two-dimensional Laser Scanner in an Orchard Application. Biosystems Engineering 96 139–149.

    Article  Google Scholar 

  • Bienert, Scheller, S., Keane, E., Mohan, A. and Nugent, C. 2007. Tree detection and diameter estimations by analysis of forest terrestrial Laser Scanner point clouds. ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, September 12–14, 2007, Finland.

    Google Scholar 

  • Burgos-Artizzu, X. P., Ribeiro, A., Tellaeche, A. Pajares, G. and Fernandez-Quintanilla, C., (2010). Analysis of natural images processing for the extraction of agricultural elements. Image and Vision Computing 28 138–149.

    Article  Google Scholar 

  • Coen, T., Vanrenterghem, A., Saeys, W. and De Baerdemaeker, J. 2008. Autopilot for a combine harvester. Computers and electronics in agriculture 63 57–64.

    Article  Google Scholar 

  • Ehlert, D., Adamek, R. and Horn, H-J. 2009. Laser rangefinder-based measuring of crop biomass under field conditions. Precision Agriculture 10 395–408.

    Article  Google Scholar 

  • Escolà, A., Arnó, J., Sanz, R., Camp, F., Masip, J., Solanelles, F. and Rosell, J.R. 2009. Sensing tree canopy parameters in real time for precision fructiculture/horticulture applications: methodology set-up and first results. In: (Eds.) C. Lokhorst, J. Huijmans and R. de Louw, Proceedings of 7th European Conference on Precision Agriculture, Wageningen Academic Publishers, the Netherlands, pp.185-191.

    Google Scholar 

  • Gee, C., Bossu, J., Jones, G. and Truchetet, F. 2008. Crop/weed discrimination in perspective agronomic images. Computers and Electronics in Agriculture 60 49–59.

    Article  Google Scholar 

  • Gil, E., Escola, A., Rosell, J., Planas S. and Vald, L. 2006. Variable rate application of plant protection products in vineyard using ultrasonic sensors. Crop Protection 26 1287–1297.

    Article  Google Scholar 

  • Kanade, T. and Sommer, T. 1983. An optical proximity sensor for measuring surface position and orientation for robot manipulation Robotics Institute. Paper 512. http://repository.cmu.edu/robotics/512.

    Google Scholar 

  • Llorens, J., Gil, E., Llop, J. and Queraltó, M. 2011. Georeferenced LiDAR 3D Vine Plantation Map Generation. Sensors 11 6237–6256.

    Article  PubMed  Google Scholar 

  • Moorthy, I., Millera, J., Jimenez J., Zarco-Tejadac, P., Hub, B. and Chend, J. 2011. Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data. Agricultural and Forest Meteorology 151 204–214.

    Article  Google Scholar 

  • Riaño, D., Valladares, F., Condés, S. and Chuvieco, E. 2004. Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology 124 269–275.

    Article  Google Scholar 

  • Rosell, J.R., Llorens, J., Sanz, R., Arnó, J., Ribes-Dasi, M., Masip, J., Escolà, A., Campc, F., Solanelles, F., Gracia, F., Gil, E., Val, L., Planas, S. and Palacin, J. 2009. Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning. Agricultural and Forest Meteorology 149 1505–1515.

    Article  Google Scholar 

  • Swain, K.C., Zaman, Q.U.Z., Schumann A.W. and Percival, D.C. 2009. Detecting Weed and Bare-spot in Wild Blueberry Using Ultrasonic Sensor Technology. Paper No 096879, ASABE, St Joseph, MI, USA.

    Google Scholar 

  • Tumbo, S. D., Salyani, M., Whitney, J., Wheaton T. and Miller W. 2002. Investigation of Laser and ultrasonic ranging sensots for measurements of citrus canopy volume. Applied Engineering in Agriculture 18(3) 367–372.

    Google Scholar 

  • Weiss, U. and Biber, P. 2011. Plant detection and mapping for agricultural robots using a 3D LIDAR sensor. Robotics and Autonomous Systems 59 265–273.

    Article  Google Scholar 

  • Zhang, L. and Grift, T. 2012. A LIDAR-based crop height measurement system for Miscanthus giganteus. Computers and Electronics in Agriculture 85 70–76.

    Article  Google Scholar 

  • Zhen, L., Tian-sheng, H., Wu, W. and Liu, M. 2007. Novel Method of Object Identification and Leaf Area Calculation in Multi-leaf Image. Paper No 073047, ASABE, St Joseph, MI, USA.

    Google Scholar 

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Correspondence to A. Chatzinikos .

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John V. Stafford

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Chatzinikos, A., Gemtos, T.A., Fountas, S. (2013). The use of a laser scanner for measuring crop properties in three different crops in Central Greece. In: Stafford, J.V. (eds) Precision agriculture ’13. Wageningen Academic Publishers, Wageningen. https://doi.org/10.3920/978-90-8686-778-3_14

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