Infotronic Decision-Making for a Field Crop Sensing System in Precision Agriculture

Abstract

Modem management and control of agricultural systems rely on the use of computing systems. Precision agriculture is an integrated system utilizing computing, sensing, and information technologies. The system needs to coordinate each action according to specific combinations of information from different sensor inputs. Information needs to be processed from raw data through filtering, transmitting, and data fusion. Diagnosis, presentation, and decision-making are performed on information management Since information and the knowledge generated often include uncertainties and complexity arising from the dynamic nature of the underlying phenomena, decisions should be dynamically determined based on the changing information of the time-variant environment. Fuzzy logic was used to formulate and analyze dynamic decision-making. A case study of field crop sensing system is presented to illustrate an infotronic decision-making process.