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The Spatial And Temporal Variability Analysis Of Wheat Yield in suburban of Beijing
1
W. Fu,
2
X. An,
2
Z. Meng,
1
Z. Wang,
1
G. Wu
1. Beijing Research Center of Intelligent Equipment for Agriculture,Beijing Academy of Agriculture and Forestry Sciences
2. Beijing Research Center of Intelligent Equipment for Agriculture ,Beijing Academy of Agriculture and Forestry Sciences
Abstract
: The yield map is the basis of the fertilization maps and plant maps. In order to diagnose the cause of variation accurately, not only the spatial variation of annual yield data, but also the successive annual yield data of temporal variability should be understood.The introduction of yield monitor system, global positioning system (GPS), and geographic information system have provided new methods to obtain wheat yield in precision agriculture. Although the description of the spatial and temporal variability could be finished more easily, little information was known about the spatial and temporal variability of wheat yield patterns, currently. One important application of yield map data was the study of the spatial and temporal properties of yield distribution. It was important information before implementing any site-specific management strategy. The objective of this study was to analyze the spatial and temporal yield variability of wheat grown in suburban of Beijing. Wheat yield data was collected from 2004 to 2013 and the location was N 40.175442°~40.179111°,E 116.439751°~116.442436°. Because of the equipment cause, only eight years’ data was collected, the missing data was 2010 and 2011. The harvest combine was CASE 2366 equipped with AFS yield monitor system. The yield monitor system included wheat yield flow sensor, moisture and temperature sensor, ground speed sensor, elevator speed sensor, header height sensor and DGPS. According to the wheat yield data of one year, spatial variability was analyzed. According to the past eight years’ data, temporal variability was analyzed. On the basis of spatial and temporal analysis, a new farmland classified management method was proposed. According to the coefficient of variation, the entire field was divided into four parts: high and stable yield area, middle and stable yield area, low and stable yield area and unstable yield area. Typically, high degree of variation place had the potential to increase yield. For the high and stable yield area, middle and stable yield area and low and stable yield area, the wheat yield potential is small, however, for the unstable yield area, more research should be needed from soil physical and chemical properties, as well as fertilization, planting, and so on. When the reasons were conducted from the data, management method could be carried out to improve the wheat yield in the future. The site-specific method could make low cost and improve the potential wheat yield.
Key words
: Wheat yield; Spatial-temporal variability; Classified management; Precision agriculture
Keyword
: Wheat yield; Spatial-temporal variability; Classified management; Precision agriculture
W. Fu
X. An
Z. Meng
Z. Wang
G. Wu
Spatial Variability in Crop, Soil and Natural Resources
Poster
2014
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