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High-level session at UNCTAD's Africa eCommerce Week shows that the continent has the potential to scale e-commerce enterprises - but its new free trade area will be key.
BCS SowDition enables accurate and standardized body condition scoring of sows in four simple steps, contributing to better health and management.
Corn is one of the world’s most important crops. Each year, breeders create several new corn products, known as experimental hybrids. Corn breeders work to create corn hybrids that can maintain high yield across a wide range of environments.
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The growth of poultry relies on the environment in which the bird feels comfortable, as well as on good-quality feed and water. In this use case, the performance of the poultry production chain is optimised through IoT driven technologies.
The World Bank and Agence Française de Développement (AFD) are developing a joint Global Solar Risk Mitigation Initiative (SRMI), an integrated approach to tackle policy, technical and financial issues associated with scaling up solar energy deployment, especially in some of the world’s poorest countries.
Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management
The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?”
Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology.
The 3D food printers market is expected to grow at a robust CAGR from 2017 to 2028. This market growth is expected to be driven by factors such as the growing demand for customised food and the development of the industrial sector in this region.
In this paper, an accurate data capture approach based on a vision sensor is proposed. Three image recognition methods are studied to determine the best vision-based classification technique, namely Bag of Words (BOW), Spatial Pyramid Matching (SPM) and Convolutional Neural Network (CNN).
Intel collaborated with two departments of transportation to improve bridge inspections, supplementing manual inspections of the Daniel Carter Beard Bridge connecting Ohio and Kentucky and the Stone Arch Bridge in Minnesota. Throughout the inspections, Intel’s advanced automated commercial drone hardware and software solutions increased efficiency and produced more reliable data in a fraction of the time and cost of traditional methods.