Energy neutral machine learning based iot device for pest detection in precision agriculture
D Brunelli, A Albanese, D d'Acunto… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Apples are among the topmost fruit crops of the world, and apple orchards are widely
expanding in many regions and countries. The most common problem for these crops is the …
expanding in many regions and countries. The most common problem for these crops is the …
A nanocurrent power management IC for multiple heterogeneous energy harvesting sources
This paper presents a fully autonomous power converter IC for energy harvesting from
multiple and multitype sources, such as piezoelectric, photovoltaic, thermoelectric, and RF …
multiple and multitype sources, such as piezoelectric, photovoltaic, thermoelectric, and RF …
Extended wireless monitoring through intelligent hybrid energy supply
This paper presents the design, implementation, and characterization of a hardware platform
applicable to wireless structural health monitoring (WSHM). The primary design goal is to …
applicable to wireless structural health monitoring (WSHM). The primary design goal is to …
An effective multi-source energy harvester for low power applications
Small autonomous embedded systems powered by means of energy harvesting techniques,
have gained momentum in industry and research. This paper presents a simple, yet effective …
have gained momentum in industry and research. This paper presents a simple, yet effective …
Ensuring survivability of resource-intensive sensor networks through ultra-low power overlays
Nodes in wireless sensor networks (WSNs) typically have limited power supply and
networks are often expected to be functional for extended periods. Therefore, the …
networks are often expected to be functional for extended periods. Therefore, the …
Compressive sensing optimization for signal ensembles in WSNs
C Caione, D Brunelli, L Benini - IEEE Transactions on Industrial …, 2013 - ieeexplore.ieee.org
Compressive sensing (CS) is a new approach to simultaneous sensing and compressing
that is highly promising for fully distributed compression in wireless sensor networks …
that is highly promising for fully distributed compression in wireless sensor networks …
Maximum power transfer tracking for a photovoltaic-supercapacitor energy system
It is important to maintain high efficiency when charging electrical energy storage elements
so as to achieve holistic optimization from an energy generation source (eg, a solar cell …
so as to achieve holistic optimization from an energy generation source (eg, a solar cell …
Neural networks for pest detection in precision agriculture
A Segalla, G Fiacco, L Tramarin… - … on Metrology for …, 2020 - ieeexplore.ieee.org
Apple is one of the most produced fruit crops in the world. Recent advances in Artificial
Intelligence and the Internet of Things can reduce production costs and improve crop quality …
Intelligence and the Internet of Things can reduce production costs and improve crop quality …
Meeting the electrical energy needs of a residential building with a wind-photovoltaic hybrid system
MH Mohammadnezami, MA Ehyaei, MA Rosen… - Sustainability, 2015 - mdpi.com
A complete hybrid system including a photovoltaic cell, a wind turbine, and battery is
modeled to determine the best approach for sizing the system to meet the electrical energy …
modeled to determine the best approach for sizing the system to meet the electrical energy …
Perpetual and low-cost power meter for monitoring residential and industrial appliances
The recent research efforts in smart grids and residential power management are oriented to
monitor pervasively the power consumption of appliances in domestic and non-domestic …
monitor pervasively the power consumption of appliances in domestic and non-domestic …