Drought-Detecting AI May Have Mining Use
A team of researchers at James Cook University, led by Dr Bithin Datta, have successfully used an AI-based tool to analyse existing meteorological and hydrological data related to the Ross River basin area, near Townsville in Queensland. The results of the Artificial Neural Network’s (ANN) analysis found patterns that may correspond to an impending drought in the region. According to Dr Datta, ANNs are known for their exceptional pattern recognition capabilities which mimic the complex recognition and decision-making traits of the human brain. “Once trained and validated, it is capable of establishing the relationship between apparently related variables and identifies less relevant variables. These are then used to make a prediction.” This AI shows great promise for farmers, who may...