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Measuring crop canopy – the development of a dynamic system for precision fruit crop spraying

Published online by Cambridge University Press:  01 June 2017

T. Palleja Cabre ,
J. Llorens  and
A. J. Landers
T. Palleja Cabre
Affiliation:
Department of Computer Science and Industrial Engineering, University of Lleida, Jaume II, 69, 25001 Lleida, Spain
J. Llorens
Affiliation:
Department of Agricultural and Forest Engineering, Research Group in AgroICT and Precision Agriculture, University of Lleida – Agrotecnio Center, Rovira Roure, 191, 25198 Lleida, Spain
A. J. Landers*
Affiliation:
NYSAES, Cornell University, Geneva, NY 14456, USA
*
†E-mail: [email protected]
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Abstract

The precise application of pesticides to fruit crops requires information regarding the tree or vine canopy as a system input in order to control the amount of liquid and air being applied. Variations in canopy volume and density occur due to variety, trellis system, growth stage, training system and season. Current practice is to occasionally change liquid volume but seldom to change airflow. This paper details the development and validation of an ultrasonic sensor system to measure not only canopy volume but also canopy density and presence. Sensors fitted to the sprayer can record, in real time, changes in crop characteristics as the sprayer moves along the row. Signals can then send information to variable output nozzles and adjustable air fans. Trials have been conducted and results have proven to be extremely reliable and accurate. The ability to precisely control the spray results in the optimum application rate, leading to better results in the use of pesticides, less environmental pollution (less drift and less leaf runoff) and improved economic viability for the fruit grower.

Keywords

Point quadrat analysisultrasonic echoescanopy density
Type
Crop Protection
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 250 - 254
Copyright
© The Animal Consortium 2017 

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References

Balsari, P, Doruchowski, G, Marucco, P, Tamagnone, M, Van de Zande, J and Wenneker, M 2008. A system for adjusting the spray application to the target characteristics. CIGR E-Journal X, 1–12.Google Scholar
Balsari, P, Marucco, P and Tamagnone, M 2009. A crop identification system (CIS) to optimize pesticide applications in orchards. Horticultural Science and Biotechnology, ISAFRUIT Special Issue pp. 113–116.CrossRefGoogle Scholar
Doruchowski, G, Swiechowski, W, Holownicki, R and Godyn, A 2009. Environmentally Dependent Application System (EDAS) for safer spray application in fruit growing. Journal of Horticultural Science and Biotechnology, No. ISAFRUIT Special Issue pp. 107–112.CrossRefGoogle Scholar
Khot, LR, Ehsani, R, Abrigo, G, Larbi, PA, Landers, A, Campoy, J and Wellington, C 2012. Air-assisted sprayer adapted for precision horticulture: Spray patterns and deposition assessments in small-sized citrus canopies. Biosystems Engineering 113, 76–85.CrossRefGoogle Scholar
Landers, AJ 2010. Effective Vineyard Spraying. 2010. Keuka Park: Effective Spraying.Google Scholar
Landers, A 2012. Drift from fruit sprayers-why not prevent it at source? Aspects of Applied Biology 114. International Advances in Pesticide Application, Netherlands (Wageningen). pp 235–242.Google Scholar
Llorens, J, Gil, E, Llop, J and Escolà, A 2010. Variable rate dosing in precision viticulture: Use of electronic devices to improve application efficiency. Crop Protection 29 (3), 239–248.CrossRefGoogle Scholar
Llorens, J, Landers, A and Larzelere, W 2013. Digital measurement and actuators for improving spray applications in tree and vine crops. In JV Stafford (ed) Proceedings of the 9th European Conference on Precision Agriculture. July 7-11 2013. Lleida, Catalonia, Spain.Google Scholar
Llorens, J and Landers, AJ 2014. Variable rate spraying: digital canopy measurement for air and liquid electronic control. In: Aspects of Applied Biology 114. International advances in pesticide application pp 1–8.Google Scholar
Meyers, JM and Vanden Heuvel, JE 2008. Enhancing the Precision and Spatial Acuity of Point Quadrat Analyses via Calibrated Exposure Mapping. American Journal of Enology and Viticulture 59, 425–431.CrossRefGoogle Scholar
Palleja, T and Landers, AJ 2015. Real Time Canopy Density Estimation Using Ultrasonic Envelope Signals in the Orchard and Vineyard. Computers and Electronics in Agriculture pp 108–117.CrossRefGoogle Scholar
Palleja, T and Landers, AJ 2016. Orchard and vineyard real time spraying adjustments using ultrasonic echoes. In: Aspects of Applied Biology 132. International advances in pesticide application pp 405–410.Google Scholar
Palleja, T, Tresanchez, M, Teixido, M, Sanz, R, Rosell, JR and Palacin, J 2010. Sensitivity of Tree Volume Measurement to Trajectory Errors from a Terrestrial LIDAR Scanner. Agricultural and Forest Meteorology 150, 1420–1427.CrossRefGoogle Scholar
Smart, RE and Robinson, M 1991. Sunlight into Wine: A Handbook for Winegrape Canopy Management. Winetitles, Adelaide, Australia.Google Scholar
Smart, RE 1985. Principles of grapevine canopy microclimate manipulation with implications for yield and quality. A review. American Journal of Enology and Viticulture 36, 230–239.CrossRefGoogle Scholar
Tumbo, SD, Salyani, M, Whitney, J, Wheaton, T and Miller, W 2002. Investigation of laser and ultrasonic ranging sensors for measurement of citrus canopy volume. Applied Engineering in Agriculture 18 (3), 367–372.CrossRefGoogle Scholar
Zaman, Q and Salyani, M 2004. Effects of foliage density and ground speed on ultrasonic measurements of citrus tree volume. Applied Engineering in Agriculture 20 (2), 173–178.CrossRefGoogle Scholar