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A method for agricultural machine guidance on row crops based on the vanishing point
Automatic guidance systems have became important in agriculture to reduce the operator's work and fatigue, resulting in higher efficiency and safety in field operations. Most crops are cultivated in rows, hence enabling the development of a row-recognition system to accurately follow a row of p...
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creator | de Oliveira Neris, Luciano Obac Roda, Valentin Trindade, Onofre |
description | Automatic guidance systems have became important in agriculture to reduce the operator's work and fatigue, resulting in higher efficiency and safety in field operations. Most crops are cultivated in rows, hence enabling the development of a row-recognition system to accurately follow a row of plants without overrunning the crop. This paper presents a novel approach for extracting agricultural machine position from field images based on the look-ahead method and vanishing points. The proposed method facilitates the development of the guidance controller, simplifying the tuning and increasing the guidance system response and stability. The goal was to develop a quick position extraction method, based on the fact that by decreasing the image processing time increases the position data rate, providing fast response feedback control. Results demonstrated that the use of look- ahead method and vanishing point simplifies the guidance controller development and satisfactorily works with shadows, gaps, weeds and different light conditions. |
doi_str_mv | 10.1109/ICVES.2007.4456365 |
format | conference_proceeding |
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Most crops are cultivated in rows, hence enabling the development of a row-recognition system to accurately follow a row of plants without overrunning the crop. This paper presents a novel approach for extracting agricultural machine position from field images based on the look-ahead method and vanishing points. The proposed method facilitates the development of the guidance controller, simplifying the tuning and increasing the guidance system response and stability. The goal was to develop a quick position extraction method, based on the fact that by decreasing the image processing time increases the position data rate, providing fast response feedback control. 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Most crops are cultivated in rows, hence enabling the development of a row-recognition system to accurately follow a row of plants without overrunning the crop. This paper presents a novel approach for extracting agricultural machine position from field images based on the look-ahead method and vanishing points. The proposed method facilitates the development of the guidance controller, simplifying the tuning and increasing the guidance system response and stability. The goal was to develop a quick position extraction method, based on the fact that by decreasing the image processing time increases the position data rate, providing fast response feedback control. Results demonstrated that the use of look- ahead method and vanishing point simplifies the guidance controller development and satisfactorily works with shadows, gaps, weeds and different light conditions.</description><subject>Agriculture</subject><subject>Control systems</subject><subject>Crops</subject><subject>Data mining</subject><subject>Fatigue</subject><subject>Feedback control</subject><subject>Image processing</subject><subject>Lighting control</subject><subject>Safety</subject><subject>Stability</subject><isbn>9781424412655</isbn><isbn>142441265X</isbn><isbn>9781424412662</isbn><isbn>1424412668</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVUM1KxDAYjIigrH0BveQFWpOvydfmuJRVFxY8WLwu2SZtI21T0lbx7a3sXjwN88MwDCEPnCWcM_W0Lz527wkwliVCSExRXpFIZTkXIAQHRLj-x6W8JdE0fTLGeIaCc3FHyi3t7dx6Q2sfqG6Cq5ZuXoLuaK-r1g2WNoszeqgs9QMN_ptWwY8TPenJmj9pbi390oOb1nBDR--G-Z7c1LqbbHTBDSmfd2XxGh_eXvbF9hA7xeZYy3VBDcg1pIgoa2m4kCkIgErV6gSQawQplDFZVRtgyIRJ1epjjoqrdEMez7XOWnscg-t1-Dlerkh_AR3CUKY</recordid><startdate>200712</startdate><enddate>200712</enddate><creator>de Oliveira Neris, Luciano</creator><creator>Obac Roda, Valentin</creator><creator>Trindade, Onofre</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200712</creationdate><title>A method for agricultural machine guidance on row crops based on the vanishing point</title><author>de Oliveira Neris, Luciano ; Obac Roda, Valentin ; Trindade, Onofre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-a5114f261a236665f5d14532422c9f9b228a62549dd7cfd20604d392426869193</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Agriculture</topic><topic>Control systems</topic><topic>Crops</topic><topic>Data mining</topic><topic>Fatigue</topic><topic>Feedback control</topic><topic>Image processing</topic><topic>Lighting control</topic><topic>Safety</topic><topic>Stability</topic><toplevel>online_resources</toplevel><creatorcontrib>de Oliveira Neris, Luciano</creatorcontrib><creatorcontrib>Obac Roda, Valentin</creatorcontrib><creatorcontrib>Trindade, Onofre</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Oliveira Neris, Luciano</au><au>Obac Roda, Valentin</au><au>Trindade, Onofre</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A method for agricultural machine guidance on row crops based on the vanishing point</atitle><btitle>2007 IEEE International Conference on Vehicular Electronics and Safety</btitle><stitle>ICVES</stitle><date>2007-12</date><risdate>2007</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424412655</isbn><isbn>142441265X</isbn><eisbn>9781424412662</eisbn><eisbn>1424412668</eisbn><abstract>Automatic guidance systems have became important in agriculture to reduce the operator's work and fatigue, resulting in higher efficiency and safety in field operations. Most crops are cultivated in rows, hence enabling the development of a row-recognition system to accurately follow a row of plants without overrunning the crop. This paper presents a novel approach for extracting agricultural machine position from field images based on the look-ahead method and vanishing points. The proposed method facilitates the development of the guidance controller, simplifying the tuning and increasing the guidance system response and stability. The goal was to develop a quick position extraction method, based on the fact that by decreasing the image processing time increases the position data rate, providing fast response feedback control. Results demonstrated that the use of look- ahead method and vanishing point simplifies the guidance controller development and satisfactorily works with shadows, gaps, weeds and different light conditions.</abstract><pub>IEEE</pub><doi>10.1109/ICVES.2007.4456365</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Agriculture Control systems Crops Data mining Fatigue Feedback control Image processing Lighting control Safety Stability |
title | A method for agricultural machine guidance on row crops based on the vanishing point |
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