AUTOMATED YIELD MAP DELAY IDENTIFICATION USING PHASE CORRELATION METHODOLOGY

作者：Lee D H; Sudduth K A^*; Drummond S T; Chung S O; Myers D B

来源：Transactions of the ASABE, 2012, 55(3): 743-752.

• Delay time
• Geostatistical analysis
• Phase correlation
• Precision agriculture
• Spatial consistency
• Yield map

Crop yield data are a key component of precision agriculture and are critical for both development and evaluation of precision management strategies. Ideally, software that generates grain yield maps from raw yield monitor data should automatically correct errors associated with machine and operating characteristics. Perhaps the most basic correction required is to properly compensate for the time lag (or position lag) between the cutting of the crop from the field and the grain flow measurement by the flow sensor in the combine. Past research has suggested several approaches to automatically determine delay time, but for various reasons these have not been implemented in mapping software. In this article, we present a new, computationally efficient method that can accurately determine delay time for individual fields using the image processing method of phase correlation. The phase correlation delay identification (PCDI) method was evaluated using a number of yield maps with varying degrees of harvest complexity, and results were compared to a geostatistical method. The PCDI method produced accurate estimates of delay time in approximately 90% of test datasets and provided a way to evaluate the reliability of the estimate. Additionally, the PCDI method was more computationally efficient than previous methods. Results of this study will increase the feasibility of including automatic delay time compensation in yield mapping software.

• 出版日期2012-6