Types Of Precision Agriculture

Types Of Precision Agriculture
May 11
11:33 2018

Precision Agriculture is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. The goal of precision agriculture research is to define a decision support system (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources.

Benefits Of Precision Agriculture To Farmers

  • Build up a record of their farm
  • Improve decision-making
  • Foster greater traceability
  • Enhance marketing of farm products
  • Improve lease arrangements and relationship with landlords
  • Enhance the inherent quality of farm products (e.g. protein level in bread-flour wheat)

Types Of Precision Agriculture

Spatial and Temporal Variability

Spatial and temporal variability are considered the key working aspects of precision agriculture. Spatial variability refers to the identification and measuring of variables, such as land features or general topography, moisture levels present in the soil, soil nutrient levels – including nitrogen, potassium, and magnesium, as well as soil pH levels, crop yields, and more.

Temporal variability essentially refers to the aspect of time, by which the information gathered under spatial variability can be plotted to distinguish rates, including the rate of nutrient depletion, soil erosion and soil moisture content levels.

Decision Support Systems

The use of decision support systems (DSS) is often incorporated into precision agriculture as it pertains to managing the information collected through spatial and temporal practices. The essential components of decision support systems generally rely on four main principles, including Intelligence, which refers to the information that requires a decision to be made upon.

Design, refers to developing a solution or alternative action that could potentially alleviate a particular problem. Choice, choosing the most appropriate action or solution to the problem as identified under the design process. The last step is Implementation, applying the action or solution that was chosen from the design process to remedy the problem(s).


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