Evaluation of site-specific management zones on a farm with 124 contiguous small paddy fields in a multiple-cropping system

2008 ◽  
Vol 9 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Sachiko Ikenaga ◽  
Tatsuya Inamura
Keyword(s):  
Cropping System ◽  
Paddy Fields ◽  
Multiple Cropping ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

scholarly journals Site-Specific Management Zones Based on Soil Electrical Conductivity in a Semiarid Cropping System

2003 ◽  
Vol 95 (2) ◽  
pp. 303 ◽  
Author(s):  
Cinthia K. Johnson ◽  
David A. Mortensen ◽  
Brian J. Wienhold ◽  
John F. Shanahan ◽  
John W. Doran
Keyword(s):  
Electrical Conductivity ◽  
Cropping System ◽  
Soil Electrical Conductivity ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

scholarly journals Site-Specific Management Zones Based on Soil Electrical Conductivity in a Semiarid Cropping System

2003 ◽  
Vol 95 (2) ◽  
pp. 303-315 ◽  
Author(s):  
Cinthia K. Johnson ◽  
David A. Mortensen ◽  
Brian J. Wienhold ◽  
John F. Shanahan ◽  
John W. Doran
Keyword(s):  
Electrical Conductivity ◽  
Cropping System ◽  
Soil Electrical Conductivity ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

scholarly journals Delineating site-specific management zones for pH-induced iron chlorosis

2008 ◽  
Vol 9 (1-2) ◽  
pp. 71-84 ◽  
Author(s):  
T. Kyaw ◽  
R. B. Ferguson ◽  
V. I. Adamchuk ◽  
D. B. Marx ◽  
D. D. Tarkalson ◽  
...  
Keyword(s):  
Iron Chlorosis ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

Delineation of site-specific management zones based on soil properties for a hillside field in central China

2012 ◽  
Vol 58 (10) ◽  
pp. 1075-1090 ◽  
Author(s):  
Hou-Long Jiang ◽  
Guo-Shun Liu ◽  
Shu-Duan Liu ◽  
En-Hua Li ◽  
Rui Wang ◽  
...  
Keyword(s):  
Soil Properties ◽  
Central China ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

scholarly journals Comparison of Site-Specific Management Zones: Soil-Color-Based and Yield-Based

2006 ◽  
Vol 98 (2) ◽  
pp. 407-415 ◽  
Author(s):  
A. Hornung ◽  
R. Khosla ◽  
R. Reich ◽  
D. Inman ◽  
D. G. Westfall
Keyword(s):  
Soil Color ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

Assessment of Field Spatial and Temporal Variabilities to Delineate Site-Specific Management Zones for Variable-Rate Irrigation

2017 ◽  
Vol 143 (9) ◽  
pp. 04017037 ◽  
Author(s):  
Aghil Yari ◽  
Chandra A. Madramootoo ◽  
Shelley A. Woods ◽  
Viacheslav I. Adamchuk ◽  
Hsin-Hui Huang
Keyword(s):  
Variable Rate ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management ◽  
Variable Rate Irrigation

Precision manure management on site-specific management zones: Nitrogen mineralization

2015 ◽  
Vol 39 (1) ◽  
pp. 59-70
Author(s):  
Matshwene Moshia ◽  
Raj Khosla ◽  
Dwayne Westfall ◽  
Jessica Davis ◽  
Robin Reich
Keyword(s):  
Nitrogen Mineralization ◽  
Manure Management ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

Delineating site-specific management zones for precision agriculture

2015 ◽  
Vol 154 (2) ◽  
pp. 273-286 ◽  
Author(s):  
H. U. FARID ◽  
A. BAKHSH ◽  
N. AHMAD ◽  
A. AHMAD ◽  
Z. MAHMOOD-KHAN
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Precision Farming ◽  
Farming Practices ◽  
Wheat Grain ◽  
Site Specific ◽  
Management Zones ◽  
Management Zone ◽  
Specific Management ◽  
Landscape Attributes

SUMMARYDelineating site-specific management zones within fields can be helpful in addressing spatial variability effects for adopting precision farming practices. A 3-year (2008/09 to 2010/11) field study was conducted at the Postgraduate Agricultural Research Station, University of Agriculture, Faisalabad, Pakistan, to identify the most important soil and landscape attributes influencing wheat grain yield, which can be used for delineating management zones. A total of 48 soil samples were collected from the top 300 mm of soil in 8-ha experimental field divided into regular grids of 24 × 67 m prior to sowing wheat. Soil and landscape attributes such as elevation, % of sand, silt and clay by volume, soil electrical conductivity (EC), pH, soil nitrogen (N) and soil phosphorus (P) were included in the analysis. Artificial neural network (ANN) analysis showed that % sand, % clay, elevation, soil N and soil EC were important variables for delineating management zones. Different management zone schemes ranging from three to six were developed and evaluated based on performance indicators using Management Zone Analyst (MZA V0·1) software. The fuzziness performance index (FPI) and normalized classification entropy NCE indices showed minimum values for a four management zone scheme, indicating its appropriateness for the experimental field. The coefficient of variation values of soil and landscape attributes decreased for each management zone within the four management zone scheme compared to the entire field, which showed improved homogeneity. The evaluation of the four management zone scheme using normalized wheat grain yield data showed distinct means for each management zone, verifying spatial variability effects and the need for its management. The results indicated that the approach based on ANN and MZA software analysis can be helpful in delineating management zones within the field, to promote precision farming practices effectively.

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