Abstract
Site-specific application of pesticides has so far focused mainly on herbicides. The purpose of precision farming technologies in relation to herbicide use is to reduce herbicide cost and environmental impact from spraying, but at the same time to achieve acceptable weed control. Another purpose is to increase the spraying capacity, to reduce the number of sprayer refills, and finally to minimize time spent on weed monitoring. In this chapter the relevance and profitability of four precision herbicide application technologies, two weed detection technologies and a low dose decision support system (DSS) is analysed. With a low dose herbicide, cost can be reduced by 20–50%. It requires, however, proper monitoring of weeds, which can be a time-consuming task that again requires that the farmer is able to identify the dominant weed species. The current development of high-speed camera and software systems can help to detect and map individual weeds, and some systems have proved to be cost effective for certain weeds.
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References
Anglund EA, Ayers PD (2003) Field evaluation of response times for a variable rate (pressurebased and injection) liquid chemical applicator. Appl Eng Agric 19:273–282
DST (2016) Economics of agricultural activities 2015. Statistics Denmark (DST), December 2016. http://www.dst.dk/Site/Dst/Udgivelser/GetPubFile.aspx?id=20725&sid=oko2017
Franco C, Pedersen SM, Papaharalampos H, Ørum JE (2017) The value of precision for imagebased decision support in weed management. Precis Agric 18(3):366–382
Grisso R, Alley M, Thomason W, Holshouser D, Roberson GT (2011) Precision farming tools: variablerate application. Resource document: Virginia Cooperative Extention. https://pubs.ext.vt.edu/442/442505/442505_PDF.pdf
IPNI (2017) Site-specific management guideline. International Plant Nutrition Institute, USA (IPNI). http://www.ipni.net/ssmg
Jørgensen LN, Noe E, Langvad AM, Jensen J, Ørum JE, Rydahl P (2007) Decision support systems: barriers and farmers’ need for support. Bull OEPP/EPPO Bull 37(2):374–377
Laursen MS, Jørgensen RN, Dyrmann M, Poulsen R (2017) RoboWeedSupport: sub millimeter weed image acquisition in cereal crops with speeds up till 50 Km/h. Paper accepted for 19th international conference on precision agriculture. Kyoto, Japan April 27–28, 2017
Lund I, Søgaard HT, Graglia E (2006) Microspraying with one drop per weed plant. Proceedings of Plantekongres 2006, Arhus, Denmark, January 10–11, 2006
Lund I, Christensen S, Jensen LA, Jensen PK, Olsen HJ, Søgaard HT et al (2008) Cellesprøjtning af ukrudt i majs. Pesticide research document no. 123 2008. Ministry of Environment of Denmark. http://www2.mst.dk/udgiv/publikationer/2008/9788770528511/9788770528511/pdf/9788770528528.pdf
Mathiassen SK, Lund I, Kudsk P (2016) Adjuvants for single droplet application of glyphosate proceedings ISAA 2016. https://www.researchgate.net/publication/304497893_ADJUVANTS_FOR_SINGLE_DROPLET_APPLICATION_OF_GLYPHOSATE
Mertz (2017) Personal communication. Leif Trane, Johannes Mertz A/S, Denmark. leif.trane@mertz.dk. +45 2343 5259
MST (2017) Bekæmpelsesmiddelstatistik 2015. Behandlingshyppighed og pesticidbelastning, baseret på salgsstatistik og sprøjtejournaldata. Orientering fra Miljøstyrelsen (MST) nr. 17. Januar 2017. http://www2.mst.dk/Udgiv/publikationer/2017/01/978-87-93529-63-2.pdf
Pedersen SM (2003) Precision farming—technology assessment of site specific input application in cereals. DTU: IPL
Pedersen SM, Fountas S, Blackmore S, Gylling M, Pedersen JL (2004) Adoption and perspectives of precision farming in Denmark. Acta Agric Scand B Soil Plant Sci 54:2–6
Petersen PH, Nørremark M, Jensen PK, Thierry AM, Hørfarter R, Jensen JE, Elbæk J, Lyngvig HS (2017) Udkast til notat om intelligent sprøjteudstyr/præcisionssprøjtning i jordbruget, der kan medvirke til minimering af brugen af pesticider. Memorandum draft on the potential of intelligent spraying equipment and precision spraying to minimize pesticide use in Danish agriculture (Draft January 31st 2017). SEGES P/S and Aarhus University (in prep for a final MST report)
Sønderskov M, Rydahl P, Bøjer OM, Jensen JE, Kudsk P (2016) Chapter 13: Crop protection online—weeds: a case study for agricultural decision support systems. In: Papathanasiou J et al (eds) RealWorld decision support systems, page 303320. Integrated series in information systems 37. Springer International Publishing, Switzerland 2016. https://doi.org/10.1007/9783319439167_13. http://link.springer.com/chapter/10.1007%2F9783319439167_13
van de Zande JC, Achten VT, Kempenaar C, Michielsen JM, van der Schans D, de Boer J et al (2009) SensiSpray: sitespecific precise dosing of pesticides by online sensing. In: van Henten EJ, Goense D, Lokhorst C (eds) Precision agriculture’09. Wageningen Academic Publishers, Wageningen, pp 785–792
Wallace A (1994) High-precision agriculture is an excellent tool for conservation of natural resources. Commun Soil Sci Plant Anal 25:45–49
Walter AM, Heisel T (2001) Precision application of herbicides using injection sprayer systems. In: Grenier G, Blackmore S (eds) Proceedings of the 3rd European conference on precision agriculture. Agro, Montpellier, pp 611–616
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Ørum, J.E., Kudsk, P., Jensen, P.K. (2017). Economics of Site-Specific and Variable-Dose Herbicide Application. In: Pedersen, S., Lind, K. (eds) Precision Agriculture: Technology and Economic Perspectives. Progress in Precision Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-319-68715-5_4
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