Difference between revisions of "Productivity maps overview"

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Variability is analyzed through evaluation of Normalized Differential Vegetation Index in past crop seasons, given it's high correlation with yields in key dates. The result is a Productivity Map, which divides the field in classes, from very low to very high productivity polygons.  
 
Variability is analyzed through evaluation of Normalized Differential Vegetation Index in past crop seasons, given it's high correlation with yields in key dates. The result is a Productivity Map, which divides the field in classes, from very low to very high productivity polygons.  
  
[[Image:MZ_management_zone_map.jpg]]
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[[Image:MZ management zone map.jpg]]  
  
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[[Productivity Maps how are they generated|'''This article''']] analyzes in more detail how Productivity Maps are generated.
  
[[Productivity_Maps_how_are_they_generated|'''This article''']] analyzes in more detail how Productivity Maps are generated.
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== Why is it important to recognize variability  ==
 
== Why is it important to recognize variability  ==
  
[[Image:Field_with_variability.jpg|500px]]
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[[Image:Field with variability.jpg|500px|Field with variability.jpg]]  
  
 
Two areas in a field are different zones if the same crop, with the same treatment, present marked differences in their yields.&nbsp;Thus, environmental variability comprises different factors that affect the growth and yield of crops.  
 
Two areas in a field are different zones if the same crop, with the same treatment, present marked differences in their yields.&nbsp;Thus, environmental variability comprises different factors that affect the growth and yield of crops.  
  
There are many causes for potential variability, such as soil types, position in the landscape which affects water flows, or climate. For instance, the following&nbsp;chart shows how different crops have varying yields according to the type of soils.&nbsp;
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There are many causes for potential variability, such as soil types, position in the landscape which affects water flows, or climate. For instance, the following&nbsp;chart shows how different crops have varying yields according to different management zones, classified by landscape position/type of soils.&nbsp;  
  
Recognizing variability and taking corresponding management decisions can help optimize the use of crop inputs, avoid undesirable environmental effects, and improve economic returns, as illustrated in the following figure:
 
  
'''//add figure'''
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[[Image:Yield_by_mgmt_zone.jpg|600px]]
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Recognizing variability and taking corresponding management decisions can help optimize the use of crop inputs, avoid undesirable environmental effects, and improve economic returns, as illustrated in the following figure:
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'''//add figure'''  
  
 
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'''[[Productivity_Maps_how_are_they_used|This article]]'''&nbsp;analyzes in more detail productivity maps applications, benefits, and how they are used to characterize management zones and make management decisions  
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'''[[Productivity Maps how are they used|This article]]'''&nbsp;analyzes in more detail productivity maps applications, benefits, and how they are used to characterize management zones and make management decisions  
  
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In the following video, a Crop Consultant describes how Productivity Maps&nbsp;
 
  
<br> By: Francis Yeatman, Crop Consultant, South Africa
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=== Video - application of Productivity Maps  ===
  
Date: Aug. 2012
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In the following video, Francis Yeatman, a Crop Consultant from South Africa, describes how he uses Productivity Maps to identify variability and make management decisions.
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'''//add video'''
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Revision as of 15:14, 19 September 2012

Productivity maps

Productivity maps are derived from crop production history and remote sensing, and is used to determine variability and make site specific management decisions. 

Variability is analyzed through evaluation of Normalized Differential Vegetation Index in past crop seasons, given it's high correlation with yields in key dates. The result is a Productivity Map, which divides the field in classes, from very low to very high productivity polygons.

MZ management zone map.jpg


This article analyzes in more detail how Productivity Maps are generated.


Why is it important to recognize variability

Field with variability.jpg

Two areas in a field are different zones if the same crop, with the same treatment, present marked differences in their yields. Thus, environmental variability comprises different factors that affect the growth and yield of crops.

There are many causes for potential variability, such as soil types, position in the landscape which affects water flows, or climate. For instance, the following chart shows how different crops have varying yields according to different management zones, classified by landscape position/type of soils. 


Yield by mgmt zone.jpg


Recognizing variability and taking corresponding management decisions can help optimize the use of crop inputs, avoid undesirable environmental effects, and improve economic returns, as illustrated in the following figure:

//add figure


This article analyzes in more detail productivity maps applications, benefits, and how they are used to characterize management zones and make management decisions


Video - application of Productivity Maps

In the following video, Francis Yeatman, a Crop Consultant from South Africa, describes how he uses Productivity Maps to identify variability and make management decisions.

//add video