MACHINE LEARNING IN AGRICULTURE: TECHNIQUES AND APPLICATIONS

Applications of Machine Learning Techniques to Systems

Perceptrons is a simple neural network that works as an alternative to the commonly used two-bit counters branch history table (BHT) branch predictor. Perceptrons achieves increased accuracy than traditional BHT branch predictors because they can make use of longer branch histories, given the same hardware budget. Although having very similar organization to BHT branch predictors, Perceptrons’ ...

Some machine vision applications in agriculture

With the trend of computers towards convergence with multimedia entertainment, tools for vision processing are becoming commonplace. This has led to the pursuit of a host of unusual applications in the National Centre for Engineering in Agriculture, in addition to work on vision guidance. These range from the identification of animal species, through the location of macadamia nuts as they are h...

Acoustic Studies in Vertebrates – Applications of Machine Learning Techniques

Machine Learning Techniques and Applications For Ground-based Image Analysis

Ground-based whole sky cameras have opened up new opportunities for monitoring the earth’s atmosphere. These cameras are an important complement to satellite images by providing geoscientists with cheaper, faster, and more localized data. The images captured by whole sky imagers can have high spatial and temporal resolution, which is an important prerequisite for applications such as solar ener...

Modern Machine Learning Techniques and Their Applications to Medical Diagnostics

The talk presents several machine learning techniques and their applications to clinical decision-making. In many problems of computer-aided medical diagnosis and treatment a program must be capable of learning from previously accumulated past patients data records, and extrapolating to make diagnosis for new patient by considering their symptoms. Many machine learning and statisitical techniqu...