Soil heterogeneity at the field scale: a challenge for precision crop protection
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
Title: | Main Title: Soil heterogeneity at the field scale: a challenge for precision crop protection |
Description: | Abstract: Crop protection seldom takes into account soil heterogeneity at the field scale. Yet, variable site characteristics affect the incidence of pests as well as the efficacy and fate of pesticides in soil. This article reviews crucial starting points for incorporating soil information into precision crop protection (PCP). At present, the lack of adequate field maps is a major drawback. Conventional soil analyses are too expensive to capture soil heterogeneity at the field scale with the required spatial resolution. Therefore, we discuss alternative procedures exemplified by our own results concerning (i) minimally and noninvasive sensor techniques for the estimation of soil properties, (ii) the evidence of soil heterogeneity with respect to PCP, and (iii) current possibilities for incorporation of high resolution soil information into crop protection decisions. Soil organic carbon (SOC) and soil texture are extremely interesting for PCP. Their determination with minimally invasive techniques requires the sampling of soils, because the sensors must be used in the laboratory. However, this technique delivers precise information at low cost. We accurately determined SOC in the near-infrared. In the mid-infrared, texture and lime content were also exactly quantified. Non-invasive sensors require less effort. The airborne HyMap sensor was suitable for the detection of variability in SOC at high resolution, thus promising further progress regarding SOC data acquisition from bare soil. The apparent electrical conductivity as measured by an EM38 sensor was shown to be a suitable proxy for soil texture and layering. A survey of arable fields near Bonn (Germany) revealed widespread within-field heterogeneity of texture-related ECa, SOC and other characteristics. Maps of herbicide sorption and application rate were derived from sensor data, showing that optimal herbicide dosage is strongly governed by soil variability. A phytoassay with isoproturon confirmed the reliability of spatially varied herbicide application rates. Mapping areas with an enhanced leaching risk within fields allows them to be kept free of pesticides with related regulatory restrictions. We conclude that the use of information on soil heterogeneity within the concept of PCP is beneficial, both economically and ecologically. |
Identifier: | 10.1007/s11119-008-9077-x (DOI) |
Responsible Party
Creators: | Stefan Pätzold (Author), Franz Michael Mertens (Author), Ludger Bornemann (Author), Britta Koleczek (Author), Jonas Franke (Author), Hannes Feilhauer (Author), Gerd Welp (Author) |
Publisher: | Springer |
Publication Year: | 2013 |
Topic
TR32 Topic: | Soil |
Related Subproject: | B3 |
Subjects: | Keywords: Pesticide, Herbicide, SOC, NIR Spectroscopy, MIR Spectroscopy, Map, Hyperspectral Sensor |
File Details
Filename: | 2008_Paetzold_PrecAg.pdf |
Data Type: | Text - Article |
Size: | 24 Pages |
File Size: | 356 KB |
Date: | Issued: 01.12.2008 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Only Project Members |
General Access and Use Conditions: | For internal use only |
Access Limitations: | For internal use only |
Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Precision Agriculture |
Volume: | 9 |
Number of Pages: | 24 (367 - 390) |
Metadata Details
Metadata Creator: | Ludger Bornemann |
Metadata Created: | 02.12.2013 |
Metadata Last Updated: | 02.12.2013 |
Subproject: | B3 |
Funding Phase: | 1 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 919 |
Metadata Downloads: | 0 |
Dataset Downloads: | 3 |
Dataset Activity
Feature
Download
By downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.