Managing each crop production input (fertilizer, limestone, herbicide, insecticide, seed etc.) on a site-specific basis to reduce waste, increase profit and maintain the quality of the environment
Taking advantage of spatial differences within a field, for example, by applying less fertilizer to areas that receive less rainfall (and therefore have lower yield potential) and more to areas that receive more rainfall (and therefore have higher yield potential)
C.M. Linsley and F.C. Bauer published Circular No. 346 from the University of Illinois describing a procedure for sampling soil and preparing maps to guide the application of lime on a spatially variable basis
As agriculture become mechanized, farmers began to treat whole fields as the smallest management unit
Today, technology has reached a level that allows a farmer to measure, analyze and deal with in-field variability that was known to exist previously but was not manageable
Yield was calculated for the entire field and nutrient in the soil was estimated for the entire field, assuming each acre in the field had the same value
The ability to mark off or identify a small area of a field (a subfield) for data collection allows us to be more precise and accurate with our decision making
These subfields may be a grid of squares that arbitrarily divide the field, or they may be a series of homogenous areas that have been determined to be significantly different from surrounding areas
Broadcasting a constant amount of fertilizer is inherently inefficient due to variability, with some areas receiving inadequate amounts, some areas receiving excess, and only a fraction receiving the correct amount</b>
The single most important aspect of precision agriculture
The entire process of data collection, data analysis, and implementation on a subfield basis requires technology such as handheld computers, controllers, monitors, sensors, GPS and communication devices