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B. Basso, M. Bertocco, L. Sartori, E. Martin (2007)
Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotationEuropean Journal of Agronomy, 26
Junta Yana, Choung-Keun Lee, M. Umeda, T. Kosaki (2000)
Spatial variability of soil chemical properties in a paddy fieldSoil Science and Plant Nutrition, 46
D. Jaynes, T. Colvin (1997)
Spatiotemporal variability of corn and soybean yieldAgronomy Journal, 89
S. Blackmore (2000)
The interpretation of trends from multiple yield mapsComputers and Electronics in Agriculture, 26
D. Inman, R. Khosla, D. Westfall, R. Reich (2005)
Nitrogen uptake across site specific management zones in irrigated corn production systemsAgronomy Journal, 97
M. Duffera, J. White, R. Weisz (2007)
Spatial variability of Southeastern U.S. Coastal Plain soil physical properties: Implications for site-specific managementGeoderma, 137
Board Agriculture (1998)
Precision Agriculture in the 21st Century: Geospatial and Information Technologies in Crop Management
K. Fleming, D. Westfall, D. Wiens, M. Brodahl (2000)
Evaluating Farmer Defined Management Zone Maps for Variable Rate Fertilizer ApplicationPrecision Agriculture, 2
J. Yamagishi, T. Nakamoto, W. Richner (2003)
Stability of spatial variability of wheat and maize biomass in a small field managed under two contrasting tillage systems over 3 yearsField Crops Research, 81
E. Vrindts, A. Mouazen, M. Reyniers, K. Maertens, M. Maleki, H. Ramon, J. Baerdemaeker (2005)
Management zones based on correlation between soil compaction, yield and crop dataBiosystems Engineering, 92
A. Dobermann, P. White (2004)
Strategies for nutrient management in irrigated and rainfed lowland rice systemsNutrient Cycling in Agroecosystems, 53
M. Mzuku, R. Khosla, R. Reich, D. Inman, F. Smith, L. Macdonald (2005)
Spatial Variability of Measured Soil Properties across Site-Specific Management ZonesSoil Science Society of America Journal, 69
A. Dobermann, K. Cassman (2002)
Plant nutrient management for enhanced productivity in intensive grain production systems of the United States and AsiaPlant and Soil, 247
A. Kantolic, G. Slafer (2001)
Photoperiod sensitivity after flowering and seed number determination in indeterminate soybean cultivarsField Crops Research, 72
(1999)
Use of unsupervised clustering algorithms of delineationg within-field management
(1998)
Precision farming and terra-mechanics
A. Roel, R. Plant (2004)
Spatiotemporal Analysis of Rice Yield Variability in Two California FieldsAgronomy Journal
(1993)
Large-scale paddy field and cost down effect
A. Dobermann, C. Witt, D. Dawe, S. Abdulrachman, H. Gines, R. Nagarajan, S. Satawathananont, T. Son, P. Tan, G.H Wang, N. Chien, V. Thoa, C. Phung, P. Stalin, P. Muthukrishnan, V. Ravi, M. Babu, S. Chatuporn, J. Sookthongsa, Q. Sun, R. Fu, G. Simbahan, M. Adviento (2002)
Site-specific nutrient management for intensive rice cropping systems in AsiaField Crops Research, 74
Jorge Pérez-Quezada, G. Pettygrove, R. Plant (2003)
Spatial–Temporal Analysis of Yield and Soil Factors in Two Four-Crop–Rotation Fields in the Sacramento Valley, CaliforniaAgronomy Journal, 95
R. Plant (2001)
Site-specific management: the application of information technology to crop productionComputers and Electronics in Agriculture, 30
(2003)
Comprehensive improvement of soil and fertilizer application management for paddy-upland rotation farming
Z. Frogbrook, M. Oliver (2007)
Identifying management zones in agricultural fields using spatially constrained classification of soil and ancillary dataSoil Use and Management, 23
T. Inamura, K. Goto, M. Iida, K. Nonami, H. Inoue, M. Umeda (2004)
Geostatistical Analysis of Yield, Soil Properties and Crop Management Practices in Paddy Rice FieldsPlant Production Science, 7
A. Schepers, J. Shanahan, M. Liebig, J. Schepers, S. Johnson, A. Luchiari (2004)
Appropriateness of Management Zones for Characterizing Spatial Variability of Soil Properties and Irrigated Corn Yields across YearsAgronomy Journal
A. Brock, S. Brouder, G. Blumhoff, B. Hofmann (2005)
Defining yield-based management zones for corn-soybean rotationsAgronomy Journal, 97
P. Goovaerts (1998)
Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil propertiesBiology and Fertility of Soils, 27
J. Taylor, G. Wood, R. Earl, R. Godwin (2003)
Soil Factors and their Influence on Within-field Crop Variability, Part II: Spatial Analysis and Determination of Management ZonesBiosystems Engineering, 84
K. Shoji, T. Kawamura, H. Horio, K. Nakayama, N. Kobayashi (2005)
Variability of Micro-elevation, Yield, and Protein Content within a Transplanted Paddy FieldPrecision Agriculture, 6
M. Pampolino, I. Manguiat, S. Ramanathan, H. Gines, P. Tan, T. Chi, R. Rajendran, R. Buresh (2007)
Environmental impact and economic benefits of site-specific nutrient management (SSNM) in irrigated rice systemsAgricultural Systems, 93
M. Florin, A. McBratney, B. Whelan, J. Stafford (2005)
Extending Site-Specific Crop Management from individual fields to an entire farm.
S. Yoshida (1981)
Fundamentals of rice crop science
The identification of homogeneous management zones (MZs) within a field is a basis for site-specific management (SSM). We assessed the method of defining MZs based on the spatio-temporal homogeneity of six soil properties and above-ground biomass data from paddy rice, winter wheat and soybean over 3 years on a farm with 124 contiguous small paddy fields. The soil data were recorded at 372 soil sampling sites on a rectangular grid over the farm. A non-hierarchical cluster analysis was applied to the soil data and the algorithm grouped the sites into three clusters with similar soil properties. These clusters represent soil fertility and soil drainage. The three clusters were not randomly distributed across the fields, but formed contiguous areas associated with landscape position. This was due to the spatial variation of the soil in the study area. We delineated five MZs based on the spatial structure of the soil heterogeneity of the study area. The validity of the MZs was evaluated using the biomass data from paddy rice, winter wheat and soybean in each MZ; this depended mainly on soil fertility when conditions were dry. When the growing season precipitation was greater than the 10-year average, the biomass of winter wheat and soybean depended on soil drainage. This suggested that the delineation of MZs for site-specific management in fields under a paddy-upland crop rotation system should be based on several soil properties. The biomass data from the three crops over 3 years was not effective for delimiting MZs.
Precision Agriculture – Springer Journals
Published: Apr 4, 2008
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