A preliminary approach to assessing the opportunity for site-specific crop management in a field, using yield monitor data

被引:78
作者
Pringle, MJ [1 ]
McBratney, AB [1 ]
Whelan, BM [1 ]
Taylor, JA [1 ]
机构
[1] Univ Sydney, Australian Ctr Precis Agr, Sydney, NSW 2006, Australia
关键词
site-specific crop management; yield map; opportunity index; uniformity trials;
D O I
10.1016/S0308-521X(02)00005-7
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
This paper proposes an Opportunity Index (O-i) for site-specific crop management (SSCM). In contrast to the traditional practice of uniform agronomic management, SSCM aims to match controllable inputs with spatially variable crop requirements. Farmers, however, are often left wondering how their yield maps can be used to justify a change to SSCM. The O-i is a single number that may be used in the process of this justification. The O-i is based on three components: (1) the magnitude of variation present in a yield map, relative to a certain threshold; (2) the average area within which yield is autocorrelated, relative to the minimum area within which variable-rate controllers (which physically implement SSCM) can reliably operate; and, (3) the economic and environmental benefit of SSCM relative to uniform management. The O-i was calculated for 20 Australian cropping fields and compared with b' [Journal of Agricultural Sciences, Cambridge, 29 (1938)], which is an alternative method of quantifying the management opportunity from yield variation. A weak negative correlation was found to exist. Results suggest that a good opportunity for site-specific crop management exists when the O-i is greater than 20, although this is only a tentative recommendation. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:273 / 292
页数:20
相关论文
共 30 条
[1]  
Anderson AN, 1998, ADV AGRON, V63, P1
[2]  
[Anonymous], 1983, UNDERSTANDING ROBUST
[3]  
Blackmore Simon, 1999, Precision Agriculture, V1, P53
[4]   MULTISCALE SOURCES OF SPATIAL VARIATION IN SOIL .1. THE APPLICATION OF FRACTAL CONCEPTS TO NESTED LEVELS OF SOIL VARIATION [J].
BURROUGH, PA .
JOURNAL OF SOIL SCIENCE, 1983, 34 (03) :577-597
[5]  
Chiles J-P., 1999, GEOSTATISTICS MODELL
[6]  
Cook SE, 1999, PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, PTS A AND B, P611
[7]   FRACTAL DESCRIPTION OF TEMPORAL YIELD VARIABILITY OF 10 CROPS IN THE UNITED-STATES [J].
EGHBALL, B ;
POWER, JF .
AGRONOMY JOURNAL, 1995, 87 (02) :152-156
[8]  
Everett M. W., 1996, Precision agriculture. Proceedings of the 3rd International Conference, Minneapolis, Minnesota, USA, 23-26 June 1996., P43
[9]  
Goovaerts P., 1997, GEOSTATISTICS NATURA
[10]  
Gotway C.C., 1997, STATE SITE SPECIFIC, P301