Quality of mechanical peanut sowing and digging using autopilot
ABSTRACT Over the past decade, automatic guidance of agricultural machinery via Global Navigation Satellite System (GNSS) signals has been increasingly adopted by the farming community. Peanut farmers are adopting such technology in order to improve the parallelism of operations to address difficult...
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Universidade Federal de Campina Grande
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| author | Cristiano Zerbato Carlos E. A. Furlani Mailson F. de Oliveira Murilo A. Voltarelli Tiago de O. Tavares Franciele M. Carneiro |
| author_facet | Cristiano Zerbato Carlos E. A. Furlani Mailson F. de Oliveira Murilo A. Voltarelli Tiago de O. Tavares Franciele M. Carneiro |
| author_sort | Cristiano Zerbato |
| collection | DOAJ |
| description | ABSTRACT Over the past decade, automatic guidance of agricultural machinery via Global Navigation Satellite System (GNSS) signals has been increasingly adopted by the farming community. Peanut farmers are adopting such technology in order to improve the parallelism of operations to address difficulties that occur in mechanical digging, where losses are a big problem. This study aimed to evaluate mechanized operations of peanut sowing and digging controlled manually and by autopilot, along with their quality. The treatments consisted of two digging operations, with and without autopilot, and two displacement speeds (4.5 and 6.0 km h-1). The experiment was conducted in a medium-textured soil in a completely randomized design arranged in bands, using the analyzed variables as quality indicators. At sowing, parallelism between passes of the tractor-sower set, was evaluated at 120 points of each system (manual and automatic routing). The digging losses were evaluated in the two guidance systems, under two displacement speeds (4.5 to 6.0 km h-1) at 15 points per treatment. It was verified that the parallelism between the passes of the tractor-sower set was better when using the autopilot, which improved the operation quality. Displacement speed did not influence the digging loss. There were no differences in the visible digging loss, but higher quality was obtained when the operation was performed using autopilot. Minor invisible and total digging losses were obtained when the digging was performed with automatic routing, and superior quality was found at a speed of 4.5 km h-1; however, quality was adversely affected under manual operation. Thus, the use of autopilot is effective for improving the accuracy and the quality of the operations. |
| format | Article |
| id | doaj-art-af5aaef2ad134a0795f39dbaa66ce72f |
| institution | Kabale University |
| issn | 1807-1929 |
| language | English |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-af5aaef2ad134a0795f39dbaa66ce72f2025-08-20T03:24:32ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-192923863063710.1590/1807-1929/agriambi.v23n8p630-637S1415-43662019000800630Quality of mechanical peanut sowing and digging using autopilotCristiano ZerbatoCarlos E. A. FurlaniMailson F. de OliveiraMurilo A. VoltarelliTiago de O. TavaresFranciele M. CarneiroABSTRACT Over the past decade, automatic guidance of agricultural machinery via Global Navigation Satellite System (GNSS) signals has been increasingly adopted by the farming community. Peanut farmers are adopting such technology in order to improve the parallelism of operations to address difficulties that occur in mechanical digging, where losses are a big problem. This study aimed to evaluate mechanized operations of peanut sowing and digging controlled manually and by autopilot, along with their quality. The treatments consisted of two digging operations, with and without autopilot, and two displacement speeds (4.5 and 6.0 km h-1). The experiment was conducted in a medium-textured soil in a completely randomized design arranged in bands, using the analyzed variables as quality indicators. At sowing, parallelism between passes of the tractor-sower set, was evaluated at 120 points of each system (manual and automatic routing). The digging losses were evaluated in the two guidance systems, under two displacement speeds (4.5 to 6.0 km h-1) at 15 points per treatment. It was verified that the parallelism between the passes of the tractor-sower set was better when using the autopilot, which improved the operation quality. Displacement speed did not influence the digging loss. There were no differences in the visible digging loss, but higher quality was obtained when the operation was performed using autopilot. Minor invisible and total digging losses were obtained when the digging was performed with automatic routing, and superior quality was found at a speed of 4.5 km h-1; however, quality was adversely affected under manual operation. Thus, the use of autopilot is effective for improving the accuracy and the quality of the operations.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000800630&lng=en&tlng=enArachis hypogaea L.statistical process controlkinematic relative positioningparallelismdigging losses |
| spellingShingle | Cristiano Zerbato Carlos E. A. Furlani Mailson F. de Oliveira Murilo A. Voltarelli Tiago de O. Tavares Franciele M. Carneiro Quality of mechanical peanut sowing and digging using autopilot Revista Brasileira de Engenharia Agrícola e Ambiental Arachis hypogaea L. statistical process control kinematic relative positioning parallelism digging losses |
| title | Quality of mechanical peanut sowing and digging using autopilot |
| title_full | Quality of mechanical peanut sowing and digging using autopilot |
| title_fullStr | Quality of mechanical peanut sowing and digging using autopilot |
| title_full_unstemmed | Quality of mechanical peanut sowing and digging using autopilot |
| title_short | Quality of mechanical peanut sowing and digging using autopilot |
| title_sort | quality of mechanical peanut sowing and digging using autopilot |
| topic | Arachis hypogaea L. statistical process control kinematic relative positioning parallelism digging losses |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000800630&lng=en&tlng=en |
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