AI technologies have also known to be beneficial in food drying technology and as process control for the drying process. Besides, FL and ANN have also acted as controllers in ensuring food safety, quality control, yield increment, and production cost reduction. ANN has been used as a tool in aiding real complex problem solving in the food industry according to Funes and coworkers, while based on Correa et al., the classification and prediction of parameters are simpler when using ANN, which leads to higher usage demand of ANN over the past years. Sharma stated that the food processing and handling industries are expected to grow about CAGR of 5% at least until 2021. Thus, to cater for this food demand, AI has been applied such as in management of the supply chain, food sorting, production development, food quality improvement, and proper industrial hygiene. Īs the population in the world is rising, food demand is predicted to rise from 59 to 98% by 2050. The alluring performance of AI has made it the most favorable tool to apply in industries including decision making and process estimation aiming at overall cost reduction, quality enhancement, and profitability improvement. AI has a variety of algorithms to choose from such as reinforcement learning, expert system, fuzzy logic (FL), swarm intelligence, Turing test, cognitive science, artificial neural network (ANN), and logic programming. The gaming industry, weather forecasting, heavy industry, process industry, food industry, medical industry, data mining, stem cells, and knowledge representation are among the areas that have been utilizing AI methods.
However, strong AI does not exist yet and the study on this AI is still in progress. The weak AI principle is to construct the machine to act as an intelligent unit where it mimics the human judgments, while the strong AI principle states that the machine can actually represent the human mind. AI can be categorized into two types which are strong AI and weak AI. Artificial intelligence (AI) is defined as a field in computer science that imitates human thinking processes, learning ability, and storage of knowledge.
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