An integrated system for mapping soil physical properties on-the-go: the mechanical sensing component

被引:0
|
作者
Adamchuk, V [1 ]
Christenson, PT [1 ]
机构
[1] Univ Nebraska, Dept Biol Syst Engn, Lincoln, NE 68583 USA
来源
Precision Agriculture 05 | 2005年
关键词
soil mapping; on-the-go soil sensors; mechanical resistance;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Soil mapping is one of the key practices associated with site-specific management. In many instances, the variability in soil productivity can be attributed to soil physical conditions such as type, compaction, organic matter content and moisture. On-the-go soil sensors have been developed to monitor spatial changes in these conditions. A prototype system integrating mechanical, electrical (capacitance) and optical (reflectance) sensors was developed and tested. Field evaluation of the soil mechanical resistance mapping component is described in this publication. When compared to conventional cone penetrometer measurements in six replicated soil tillage treatment plots, integrated mechanical resistance measurements correlated with r(2) = 0.56.
引用
收藏
页码:449 / 456
页数:8
相关论文
共 50 条
  • [41] A soil sensing and mapping system on soil electrical conductivity
    Zhang Junning
    Li Minzan
    Zou Qizhang
    Kong Dexiu
    ACTUAL TASKS ON AGRICULTURAL ENGINEERING, PROCEEDINGS, 2006, 34 : 337 - +
  • [42] A horizontal multiple-tip penetrometer for on-the-go soil mechanical resistance and acoustic failure mode detection
    Hemmat, Abbas
    Rahnama, Tayebeh
    Vahabi, Zahra
    SOIL & TILLAGE RESEARCH, 2014, 138 : 17 - 25
  • [43] A modified arrangement of multi-prismatic tips on a horizontal sensor for on-the-go measurement of soil mechanical resistance
    Sharifi, Ahmad
    Mohsenimanesh, Ahmad
    Jamshidi, Bahareh
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2011, 9 (3-4): : 775 - 778
  • [44] Risk mapping of redheaded cockchafer (Adoryphorus couloni) (Burmeister) infestations using a combination of novel k-means clustering and on-the-go plant and soil sensing technologies
    Cosby, A. M.
    Falzon, G. A.
    Trotter, M. G.
    Stanley, J. N.
    Powell, K. S.
    Lamb, D. W.
    PRECISION AGRICULTURE, 2016, 17 (01) : 1 - 17
  • [45] Risk mapping of redheaded cockchafer (Adoryphorus couloni) (Burmeister) infestations using a combination of novel k-means clustering and on-the-go plant and soil sensing technologies
    A. M. Cosby
    G. A. Falzon
    M. G. Trotter
    J. N. Stanley
    K. S. Powell
    D. W. Lamb
    Precision Agriculture, 2016, 17 : 1 - 17
  • [46] Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
    Mohammad Sajjad GHAVAMI
    Shamsollah AYOUBI
    Mohammad Reza MOSADDEGHI
    Salman Naimi
    JournalofMountainScience, 2023, 20 (10) : 2975 - 2992
  • [47] Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
    Ghavami, Mohammad Sajjad
    Ayoubi, Shamsollah
    Mosaddeghi, Mohammad Reza
    Naimi, Salman
    JOURNAL OF MOUNTAIN SCIENCE, 2023, 20 (10) : 2975 - 2992
  • [48] Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
    Mohammad Sajjad Ghavami
    Shamsollah Ayoubi
    Mohammad Reza Mosaddeghi
    Salman Naimi
    Journal of Mountain Science, 2023, 20 : 2975 - 2992
  • [49] Physical and mechanical properties of the lunar soil (a review)
    Slyuta, E. N.
    SOLAR SYSTEM RESEARCH, 2014, 48 (05) : 330 - 353
  • [50] Physical and mechanical properties of the lunar soil (a review)
    E. N. Slyuta
    Solar System Research, 2014, 48 : 330 - 353