Machine intelligence today: applications, methodology, and technology

Artificial Intelligence Today Recent Trends And Developments

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Machine vision technology for agricultural applications

Current applications of machine vision in agriculture are briefly reviewed. The requirements and recent developments of hardware and software for machine vision systems are discussed, with emphases on multispectral and hyperspectral imaging for modern food inspection. Examples of applications for detection of disease, defects, and contamination on poultry carcasses and apples are also given. Fu...

Biogas Technology, Applications, Perspectives and Implications

The major purpose of this study was to examine the advantages and implications of biogastechnology in the agriculture sector. Biogas is one of many biomass energy sources, which includeanything that was once alive and that can generate energy (except for fossil fuels, which are notrenewable). To talk of biogas is to talk of agriculture, since biogas generation starts withagricultural waste prod...

A Methodology for Modeling Ambient Intelligence Applications using i* Framework

At present time, Ambient Intelligence (AmI) is a revolutionary computing paradigm that promises to have a deep effect on the way we interact with the computers, devices, physical spaces, and other people. The development of applications for this paradigm represents a new challenge for analysts and software engineers due to the complexity to consider physical, human and system actors interacting...

Turning Artificial Intelligence into Business Value. Today