Precision farming, sometimes called site-specific agriculture, is a strategic task for agriculture: indeed it has the potential to reduce costs through more efficient and effective applications of crop inputs; it can also reduce environmental impacts by allowing farmers to apply inputs only where they are needed at the appropriate rate. Precision farming requires the use of new technologies, such as GPS, environmental sensors, satellites or aerial images and GIS to asses and understand variations. The present research deals with potentialities and limits of GPS for navigation in agricultural applications. GPS needs for farming applications are: − low cost in order to allow farmers to buy GPS technologies; −high precision in order to reduce the use of pesticides and fertilizers by means of an exact track. At first, static and kinematic tests have been performed, simulating the typical behaviour of an agricultural vehicle and usingdifferent kinds of GPS receivers and navigation softwares; the experimental results are presented: particularly, advantages and disadvantages of the popular Kalman filtering on trajectories are discussed. Starting from the analyses of the previous results, and taking into account the typical user requirements, a preliminary design for a new prototype has been done; particularly, both needed instrumentations and their costs and a proposal of a new navigation algorithm will be presented.

GPS navigation for precision farming / Biagi, Ludovico; Capra, Alessandro; Castagnetti, Cristina; Dubbini, Marco; Unguendoli, Francesco. - In: THE INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1777. - STAMPA. - XXXVI-5/C55:(2008), pp. 46-53. (Intervento presentato al convegno 5th International Symposium on Mobile Mapping Technology, MMT 2007 tenutosi a Padua, Italy nel May 29-31, 2007).

GPS navigation for precision farming

CAPRA, Alessandro;CASTAGNETTI, Cristina;DUBBINI, MARCO;UNGUENDOLI, Francesco
2008

Abstract

Precision farming, sometimes called site-specific agriculture, is a strategic task for agriculture: indeed it has the potential to reduce costs through more efficient and effective applications of crop inputs; it can also reduce environmental impacts by allowing farmers to apply inputs only where they are needed at the appropriate rate. Precision farming requires the use of new technologies, such as GPS, environmental sensors, satellites or aerial images and GIS to asses and understand variations. The present research deals with potentialities and limits of GPS for navigation in agricultural applications. GPS needs for farming applications are: − low cost in order to allow farmers to buy GPS technologies; −high precision in order to reduce the use of pesticides and fertilizers by means of an exact track. At first, static and kinematic tests have been performed, simulating the typical behaviour of an agricultural vehicle and usingdifferent kinds of GPS receivers and navigation softwares; the experimental results are presented: particularly, advantages and disadvantages of the popular Kalman filtering on trajectories are discussed. Starting from the analyses of the previous results, and taking into account the typical user requirements, a preliminary design for a new prototype has been done; particularly, both needed instrumentations and their costs and a proposal of a new navigation algorithm will be presented.
2008
5th International Symposium on Mobile Mapping Technology, MMT 2007
Padua, Italy
May 29-31, 2007
XXXVI-5/C55
46
53
Biagi, Ludovico; Capra, Alessandro; Castagnetti, Cristina; Dubbini, Marco; Unguendoli, Francesco
GPS navigation for precision farming / Biagi, Ludovico; Capra, Alessandro; Castagnetti, Cristina; Dubbini, Marco; Unguendoli, Francesco. - In: THE INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1777. - STAMPA. - XXXVI-5/C55:(2008), pp. 46-53. (Intervento presentato al convegno 5th International Symposium on Mobile Mapping Technology, MMT 2007 tenutosi a Padua, Italy nel May 29-31, 2007).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1112226
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