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Data analytics in the context of predictive analytics is gaining importance in the manufacturing sector and provides a competitive advantage as a decision support. It helps to identify problems in advance by detecting... anomalies during the manufacturing process, thus controlling and ensuring the quality of final products. However, existing traditional approaches to anomaly detection, such as machine learning, require large amounts of high quality, often expensive data to provide accurate results. Therefore, the objective of this paper is to present an innovative anomaly detection approach that combines knowledge-based and data-based approaches to reduce the difficulties associated with collecting quality data and accelerate the application of predictive analytics in manufacturing.

Over the past two decades, West Africa has experienced repeated food crises, leading to the resumption of food supply and replenishment programs [Freddy Noma, 2017]. Regularly facing a major food challenge and climate change,African agriculture ...of the future must increase its economic , environmental and social performance in order to contribute to the Sustainable Development Goals. The use of new and innovative technologies appears more than necessary to meet these challenges. This revolution makes sense in African countries where digitalization is already at the service of agriculture. Digital agriculture is therefore defined as the fusion of agriculture and information technologies (sensors, smart grids, data science tools, applications, Internet of Things, ...) in order to improve productivity throughout the value chain and meet environmental expectations.

The innovation lab team has a forward-looking approach in its analysis of the challenges related to the transitional process of transforming African port communities with respect to the challenges correlated to efficiency, performance and sustainability.... This approach is enriched not only by the interdisciplinary nature of the innovation lab team's composition and approach, but also by its experience with such transitional processes and the holistic approach they imply. Themes such as accelerated innovation and other topics such as Smart ports are inscribed in a narrative context of competition between major powers wishing to keep their places as pioneers in these fields. In such a situation, large budgets are allocated to innovation which very often becomes a top-down approach where procedures, technologies and models are applied

The Internet of Things (IoT) has initiated a sustainable change in manufacturing and will be an important competitive advantage for manufacturing companies in the future. Within Industry 4.0,anomalies during the manufacturing process,thus controlling... and ensuring the quality of final products. However, existing traditional approaches to anomaly detection, such as machine learning, require large amounts of high quality, often expensive data to provide accurate results. Therefore, the objective of this paper is to present an innovative anomaly detection approach that combines knowledge-based and data-based approaches to reduce the difficulties associated with collecting quality data and accelerate the application of predictive analytics in manufacturing. If a problem occurs at any point in the life cycle of a product,