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| Farah, Ashraf. |
| Google Earth is a virtual globe, map and geographical information software. It maps the Earth by the superimposition of images obtained from satellite imagery, aerial photography and GIS 3D globe. GoogleEarth® has become recently the ultimate source of spatial data and information for private and public decision-support systems. GoogleEarth is a strong tool for precision agriculture. It could be used for farm planning, field mapping, soil sampling, crop scouting, crop health monitoring, variable rate applications, and yield mapping. Also, Google Earth presents a base layer of an aerial photographic image that is geo-located. Different layers of information could be used with this base layer such as soil maps, mineral deposits and crop productivity. This... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: GoogleEarth; Precision Agriculture. |
| Ano: 2018 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4370 |
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| Knight, Brad; Malcolm, Bill. |
| This study used information about a farm in the Victorian Mallee during the period 1998 – 2005 to analyse the profitability of investing in Precision Agriculture and Site-Specific Crop Management technology and farming systems. Two equipment guidance systems were evaluated. Both guidance systems earned more than 8 percent real return p.a. on the extra capital invested. A Real-Time Kinetic (RTK) guidance system with a precision of 2 cm and a capital cost of $50,000 was less profitable than a Sub-Metre guidance system with 20 cm accuracy and costing $20,000. Producers investing in RTK guidance technology would be well-paid to also adopt supporting management practices that enhance crop gross margins or provide other benefits. The capital cost of GPS... |
| Tipo: Article |
Palavras-chave: Precision Agriculture; GPS technology; Investment; Farm Management. |
| Ano: 2009 |
URL: http://purl.umn.edu/121470 |
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| Cherubin,Maurício Roberto; Santi,Antônio Luis; Eitelwein,Mateus Tonini; Da Ros,Clovis Orlando; Bisognin,Mateus Bortoluzi. |
| Knowledge of spatial variability is an important factor to be considered in planning a program of soil sampling and crop management under precision agriculture (PA). In this context, the aim of this work was to evaluate the efficiency of the dimensions of sampling grids used in the state of Rio Grande do Sul (RS), Brazil to characterise the spatial variability of the attributes pHwater, base saturation (V%), calcium (Ca) and magnesium (Mg) levels. The study was carried out on 30 agricultural sites located in the northern region of RS, having soils classified as Oxisols and managed using the tools of PA. The dimensions of the grids under study were: 100 x 100 m (10 areas), 142 x 142 m (10 areas) and 173 x 173 m (10 areas). Soil was collected at a depth of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil acidity; Precision Agriculture; Soil sampling; Geostatistics. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902014000400004 |
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