… Agriculture automation is the main concern and emerging subject for every country. … automation
practices like IOT, Wireless Communications, Machine learning and Artificial Intelligence, …

… To perform a comprehensive review of the use of artificial intelligence (AI) and machine
learning (… Fuzzy colors, defined as fuzzy sets, allow semantics to be introduced in the automatic …

… Studies reveal that the determination coefficient values of 0.99 can be attained for COD,
BOD, heavy metals and organics removal using ANN and hybrid intelligent systems. This review …

… -based computational power for geospatial data analysis. Artificial intelligence (AI) methods
are a critical enabling technology to automating the interpretation of RS imagery, particularly …

… comprehensive review explores the profound impact of artificial intelligence (AI) on warehouse
automation… As industries increasingly embrace automation to enhance efficiency and …

… Recent studies have shown that artificial intelligence (AI) has been successfully … reviewed
the research and development on state-of-the-art applications of artificial intelligence for …

… tissue and would contribute to increased accuracy of automatic pathological diagnosis by
machine learning [31]. Automated analysis of histological slides is now possible through WSI …

… artificial neural network (ANN) Automatic disease detection computer vision based system
was developed to detect disease in rice plants which includes three types of feature extraction…

… Due to the 4th Industrial Revolution, Artificial Intelligence and other internet technologies
such as RAISA (Robots, Artificial Intelligence and Service Automation) have been adopted in …

… Artificial Intelligence (AI) techniques to automate various stages of the SR process. This review
paper provides a comprehensive … AI methods employed for SR automation, a subject area …