… next-generation distributed sensors and vision-based artificialintelligence (AI) methodologies to … The decisive role played by smart sensors and data acquisition platforms, such as …
… artificialintelligence and allied technologies. At the core of artificialintelligence, deep learning-based computer vision … utmost precision enabling smart agriculture into reality. Computer …
… This paper proposes an artificialintelligence-based fully automatic assistive technology to recognize different objects, and auditory inputs are provided to the user in real time, which …
… such as computer vision and ArtificialIntelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and …
H Yu, X Liu, Y Tian, Y Wang, C Gou… - … on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
… of functional sensors installed on the modern intelligent vehicles. Many ArtificialIntelligence based foundation models have been proposed for smart sensing to recognize the known …
The increasing demand of smart agriculture has led to the significant growth and development in the field of crop estimation and prediction improving its productivity. The analysis of …
… The purpose of this paper is to give an overview of artificialintelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health …
M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
… vision and artificialintelligence in precision agriculture for grain crops: A systematic review Computer vision combined with artificialintelligence … computer vision in agriculture. Computer …
… As a result of developments in sensor technology and of ArtificialIntelligence (AI), in recent years, there has been a rapid expansion in research and development of obstacle detection …