System for mapping GIS layers

A system for prescribing agroproducts comprising:

• means for obtaining a first set of agricultural attribute data from a field;
• means for classifying a first set of agricultural attribute data using a Jenks Optimization to identify a plurality of discrete regions, each region having one or more contiguous spatial elements related by commonality of class into a particular one a plurality of classes;
• means for obtaining a second set of agricultural attribute data from the field, the agricultural attribute data having at least one value obtained from each classification of the plurality of classes;
• means for identifying a subset of the second set of agricultural attribute data, different from the first set of agricultural attribute data, by associating the subset with a single class from among the plurality of classes;
• means for subclassifying the subset without regard to data obtained from other classes in the second set of agricultural attribute data to identify a plurality of application zones within the single class;
• means for determining an agroproduct prescription map for the plurality of application zones according to the needs of a crop that may be grown in the field.

A system for prescribing agroproducts comprising:

• a first set of agricultural attribute data obtained from a field;
• a non-transitory computer readable medium containing machine-based program instructions for classifying a first set of agricultural attribute data using a Jenks Optimization to identify a plurality of discrete regions, each region having one or more contiguous spatial elements related by commonality of class into a particular one a plurality of classes;
• a second set of agricultural attribute data obtained from the field, the agricultural attribute data having at least one value obtained from each classification of the plurality of classes;
• the non-transitory computer based medium further containing machine-based program instructions for identifying a subset of the second set of agricultural attribute data, different from the first set of agricultural attribute data, by associating the subset with a single class from among the plurality of classes;
• the non-transitory computer readable medium further containing machine-based program instructions for subclassifying the subset without regard to data obtained from other classes-s in the second set of agricultural attribute data to identify a plurality of application zones within the single class;
• the non-transitory computer readable medium further containing machine-based program instructions for determining an agroproduct prescription map for the plurality of application zones according to the needs of a crop that may be grown in the field.

A machine-based method of prescribing agroproducts comprising:

• obtaining a first set of agricultural attribute data from a field;
• classifying by use of a computer programmed with a Jenks Optimization that operates upon a first set of agricultural attribute data to identify a plurality of discrete regions, each region having one or more contiguous spatial elements related by commonality of class into a particular one a plurality of classes;
• obtaining a second set of agricultural attribute data from the field, the agricultural attribute data having at least one value obtained from each classification of the plurality of classes;
• identifying a subset of the second set of agricultural attribute data, different from the first set of agricultural attribute data, by associating the subset with a single class from among the plurality of classes;
• subclassifying by use of a computer the subset without regard to data obtained from other classes in the second set of agricultural attribute data to identify a plurality of application zones within the single class;
• and
• determining an agroproduct prescription map for the plurality of application zones according to the needs of a crop that may be grown in the field.

A non-transitory computer readable form with program instructions operable to:

• obtain a first set of agricultural attribute data from a field;
• classify using a Jenks Optimization a first set of agricultural attribute data to identify a plurality of discrete regions, each region having one or more contiguous spatial elements related by commonality of class into a particular one a plurality of classes;
• obtain a second set of agricultural attribute data from the field, the agricultural attribute data having at least one value obtained from each classification of the plurality of classes;
• identify a subset of the second set of agricultural attribute data, different from the first set of agricultural attribute data, by associating the subset with a single class from among the plurality of classes;
• subclassify the subset without regard to data obtained from other classes in the second set of agricultural attribute data to identify a plurality of application zones within the single class;
• and
• determine an agroproduct prescription map for the plurality of application zones according to the needs of a crop that may be grown in the field.