An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology

The problems of integration of the various wireless technologies, for-consists in the provision of required transmission speed and the transmission of information over a considerable distance at low power sensor nodes transmitters wireless Internet-water network for remote monitoring. Analyzed the integration of wireless LAN standard IEEE 802.11n/g and Bluetooth. Determined Graphic analytical dependence-dence, the defining characteristics of the data rate for wireless IEEE 802.11n / g networks. It analyzes the main shortcomings of BSS associated with ef cient use of batteries; the basic Metody reduce energy consumption for WSN based on the ZigBee technology, based on the planning schemes of awakening and data collection schemes. The possibilities MeshLogic technology solutions for the monitoring and control tasks that are critical to BPE-autonomous work Meni sensors.

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Inspecting system of heat transmission coefficient of building envelop based on Zigbee technology

IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07) ◽

10.1049/cp:20070090 ◽

2007 ◽

Author(s):

Haifeng Li ◽

Yan Zhang ◽

Lei Chen ◽

Jianhang Yang

Keyword(s):

Transmission Coefficient ◽

Heat Transmission ◽

Zigbee Technology ◽

Building Envelop

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Design of an X -band electron linear accelerator dedicated to decentralized Mo99/Tc99m supply: From beam energy selection to yield estimation

Physical Review Accelerators and Beams ◽

10.1103/physrevaccelbeams.20.104701 ◽

2017 ◽

Vol 20 (10) ◽

Cited By ~ 4

Author(s):

Jaewoong Jang ◽

Masashi Yamamoto ◽

Mitsuru Uesaka

Keyword(s):

Linear Accelerator ◽

Beam Energy ◽

Yield Estimation ◽

Electron Linear Accelerator ◽

Band Electron ◽

X Band

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Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array

Sensors ◽

10.3390/s21062182 ◽

2021 ◽

Vol 21 (6) ◽

pp. 2182

Author(s):

Baden Parr ◽

Mathew Legg ◽

Stuart Bradley ◽

Fakhrul Alam

Keyword(s):

Near Field ◽

Low Frequency ◽

Volume Estimation ◽

Yield Estimation ◽

3D Scan ◽

Management Processes ◽

Canopy Volume ◽

Ultrasonic Phased Array ◽

Added Benefit ◽

Grape Yield

Grape yield estimation has traditionally been performed using manual techniques. However, these tend to be labour intensive and can be inaccurate. Computer vision techniques have therefore been developed for automated grape yield estimation. However, errors occur when grapes are occluded by leaves, other bunches, etc. Synthetic aperture radar has been investigated to allow imaging through leaves to detect occluded grapes. However, such equipment can be expensive. This paper investigates the potential for using ultrasound to image through leaves and identify occluded grapes. A highly directional low frequency ultrasonic array composed of ultrasonic air-coupled transducers and microphones is used to image grapes through leaves. A fan is used to help differentiate between ultrasonic reflections from grapes and leaves. Improved resolution and detail are achieved with chirp excitation waveforms and near-field focusing of the array. The overestimation in grape volume estimation using ultrasound reduced from 222% to 112% compared to the 3D scan obtained using photogrammetry or from 56% to 2.5% compared to a convex hull of this 3D scan. This also has the added benefit of producing more accurate canopy volume estimations which are important for common precision viticulture management processes such as variable rate applications.

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