Precision Agriculture Demands a New Approach to Soil and Plant Sampling and Analysis—Examples from Australia

Abstract Much effort goes into ensuring that soil and plant testing laboratories provide clients with analytical results that are accurate, reliable, and therefore, reproducible. In contrast, much less effort appears to be expended on ensuring that the analyses undertaken provide information that is useful and appropriate to the task of soil, crop, and land management; the benefit of soil and plant analysis is often simply assumed. This article presents some examples from Australia of laboratory‐independent constraints to soil and plant testing. It is argued that for the soil and plant testing industry and its underpinning science to be credible, the lessons provided by precision agriculture must be heeded. Precision agriculture demands a much greater focus on the characterisation of soil and crop heterogeneity than has occurred hitherto, which in short, means that greater numbers of samples need to be analyzed. In turn, this means that cheap, rapid surrogates for traditional analytical methodologies are required. It also means that just as crop management will need to be site specific, so too will the interpretation of the results of soil and plant analysis and the associated development of management recommendations.

[1]  E. V. Thomas,et al.  Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .

[2]  M. J. Pringle,et al.  Estimating Average and Proportional Variograms of Soil Properties and Their Potential Use in Precision Agriculture , 1999, Precision Agriculture.

[3]  Alex B. McBratney,et al.  Soil chemical analytical accuracy and costs: implications from precision agriculture , 1998 .

[4]  D. J. Reuter,et al.  Soil Analysis: An Interpretation Manual , 1999 .

[5]  L. Janik,et al.  Characterization and analysis of soils using mid-infrared partial least-squares .2. Correlations with some laboratory data , 1995 .

[6]  N. Edwards,et al.  Accessibility of subsoil potassium to wheat grown on duplex soils in the south-west of Western Australia , 2000 .

[7]  Simon E. Cook,et al.  Coping with variability in agricultural production ‐implications for soil testing and fertiliser management , 2000 .

[8]  D. Lamb,et al.  Optical remote sensing applications in viticulture - a review , 2002 .

[9]  J. B. Robinson,et al.  Fruits, vines and nuts. , 1997 .

[10]  C. de Kreij,et al.  Proficiency Testing of Growing Media, Soil Improvers, Soils, and Nutrient Solutions , 2005 .

[11]  George E. Rayment,et al.  Proficiency testing and other interactive measures to enhance analytical quality in soil and plant laboratories , 2000 .

[12]  F. J. Pierce,et al.  ASPECTS OF PRECISION AGRICULTURE , 1999 .

[13]  A. Claassens,et al.  Quality Assurance in Agricultural Laboratories in Southern Africa , 2005 .

[14]  I. Bertrand,et al.  The rapid assessment of concentrations and solid phase associations of macro- and micronutrients in alkaline soils by mid-infrared diffuse reflectance spectroscopy , 2002 .

[15]  G. E. Rayment,et al.  Australian laboratory handbook of soil and water chemical methods. , 1992 .

[16]  D. Reuter,et al.  An appraisal of soil phosphorus testing data for crops and pastures in South Australia , 1995 .

[17]  L. Janik,et al.  Can mid infrared diffuse reflectance analysis replace soil extractions , 1998 .

[18]  G. Rayment,et al.  PROFICIENCY TESTING FOR SOIL AND PLANT ANALYSIS IN AUSTRALASIA , 2002 .

[19]  R. Bramley,et al.  Precision agriculture — opportunities, benefits and pitfalls of site-specific crop management in Australia , 1998 .