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[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
Evaluation feature selection with using machine learning for cyber-attack detection in smart grid
The Smart Grid is a modern power grid that relies on advanced technologies to provide
reliable and sustainable electricity. However, its integration with various communication …
reliable and sustainable electricity. However, its integration with various communication …
[HTML][HTML] Exploiting IoT and its enabled technologies for irrigation needs in agriculture
The increase in population growth and demand is rapidly depleting natural resources.
Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less …
Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less …
A virtual soil moisture sensor for smart farming using deep learning
Precision farming technologies refer to a set of cutting-edge tools and strategies
implemented to optimize the management of the plantation. Smart meter devices, Internet of …
implemented to optimize the management of the plantation. Smart meter devices, Internet of …
[HTML][HTML] A comprehensive review of deep learning: Architectures, recent advances, and applications
Deep learning (DL) has become a core component of modern artificial intelligence (AI),
driving significant advancements across diverse fields by facilitating the analysis of complex …
driving significant advancements across diverse fields by facilitating the analysis of complex …
Develo** a hybrid irrigation system for smart agriculture using IoT sensors and machine learning in Sri Ganganagar, Rajasthan
The agriculture sector is one of the largest consumers of fresh water. Different types of
irrigation systems are available, including center pivot, drip and sprinkler systems, and linear …
irrigation systems are available, including center pivot, drip and sprinkler systems, and linear …
Model-based smart irrigation control strategy and its effect on water use efficiency in tomato production
Drip irrigation's potential to conserve irrigation water by around 25% compared to
conventional methods is widely acknowledged. Nevertheless, the influence of varied …
conventional methods is widely acknowledged. Nevertheless, the influence of varied …
[PDF][PDF] Wireless sensor network-based artificial intelligent irrigation system: challenges and limitations
Due to rising global population levels and the subsequent need for more food production,
agriculture now consumes more than 70 percent of the world's freshwater resources [1] …
agriculture now consumes more than 70 percent of the world's freshwater resources [1] …
Protection of a smart grid with the detection of cyber-malware attacks using efficient and novel machine learning models
False data injection (FDI) attacks commonly target smart grids. Using the tools that are now
available for detecting incorrect data, it is not possible to identify FDI attacks. One way that …
available for detecting incorrect data, it is not possible to identify FDI attacks. One way that …