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Tools for optimizing management of spatially-variable fields
H.W.G. Booltink
, B.J. Van Alphen
, W.D. Batchelor
, J.O. Paz
,
J.J. Stoorvogel
, R. Vargas
Research output
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peer-review
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Keyphrases
Agrochemicals
66%
Backward Modeling
66%
Banana Plantation
33%
Cost Reduction
33%
Costa Rica
33%
Crop Protection
33%
Economic Concepts
33%
Embu
33%
Farm Management
33%
Fertilization
33%
Fertilizer Application
33%
Fertilizer Recommendation
66%
Forward Modeling
33%
Groundwater
33%
High Input
33%
High-tech
66%
Increased Productivity
33%
Inefficient Use
33%
Input Efficiency
33%
Kenya
33%
Low-tech
66%
Management Practices
33%
Management Styles
33%
Management Units
33%
Modeling Approach
66%
Netherlands
66%
Nitrogen Loss
33%
One Field
33%
Paper Tools
33%
Participatory Mapping
33%
Precision Agriculture
100%
Protection Measures
33%
Relative Effect
33%
Resource Use
33%
Resource-poor Farmers
33%
Soybean Yield
33%
Spatial Optimization
33%
Spatial Variability
33%
Spatial Variables
33%
Spatially Variable
100%
Stress Factors
33%
Technological Approaches
33%
Temporal Optimization
33%
Temporal Variation
33%
Tillage
33%
Traditional Management
33%
Variable Electric Field
100%
Earth and Planetary Sciences
Agrochemical
66%
Costa Rica
33%
Crop Protection
33%
Fertilizer Application
33%
Forward Modeling
33%
Kenya
33%
Netherlands
66%
Precision Agriculture
100%
Side Effect
33%
Spatial Variation
33%
Temporal Variation
33%
Agricultural and Biological Sciences
Agrochemical
66%
Case Study
33%
Crop Protection
33%
Farming Management
33%
Fertilizer Application
33%
Musa Acuminata
33%
Plantation
33%
Precision Agriculture
100%