A systems approach for site-specific management of crop production systems
Precision agriculture
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
Also called site-specific crop management (SSCM)
In conventional farming, fields are treated uniformly
Crops and soils are not uniform but vary according to spatial location
Site-specific crop management (SSCM)
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)
The concept of PA by treating small areas of a field as separate management is not new
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
1929
The concept of PA applies to many agricultural operations, e.g., variable application rates for seed, fertilizer, or pesticides
What made the concept of PA feasible
Invention and availability of new technologies
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
Precision agriculture
Also called site-specific farming or farming by foot, representing the ability to collect data and make decision on an smaller than an entire field
In the past, decisions were based on data collected and averaged for an entire field
Precision agriculture
A management strategy that uses information technologies to bring data from multiple sources to bear on decisions associated with crop associated
Precision agriculture
Obtaining data an appropriate scale
Interpretation and analyses of the data
Implementation of a management response at an appropriate scale and time
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
By collecting and analyzing data from subfields, decisions that might not be appropriate for other areas of the fields can be made
Spatial variability
The driving force of precision agriculture
Without variability, there is no need to divide a field into subfield areas
Variability occurs throughout the natural environment due to the way soil developed under prairie grass, forests, glaciers or floods
Variability
Canopy size (m3) from ultrasonic sensors
Irrigation networks of sensors to control and optimize water use
By using subfield areas, the producer can identify variability and implement management practices to each subfield
Soil type defines much of the variability within an agricultural field, with each soil type representing a homogenous area of unique characteristics
Being able to record and map this variability allows the producer to analyse and make use of it in decision making
Management efficiency in precision agriculture
The ability of the producer to use precision agriculture technology for fundamental management of the operation
Decision-making efficiency in precision agriculture
The ability to use financial and production records and the farmer's knowledge base to make an objective decision
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>
Variable rate application allows the farmer to place a specified amount of product on a particular area of a field
Technology
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
Benefits of precision agriculture
Environmental benefits - Ability to reduce or strategically place inputs to reduce impact on natural resources
Economic benefits - Decisions that result in higher monetary return, more income, or lower operating costs