scholarly journals Machine Vision Systems in Precision Agriculture for Crop Farming

2019 ◽  
Vol 5 (12) ◽  
pp. 89 ◽  
Author(s):  
Efthimia Mavridou ◽  
Eleni Vrochidou ◽  
George A. Papakostas ◽  
Theodore Pachidis ◽  
Vassilis G. Kaburlasos
Keyword(s):  
Machine Vision ◽  
Recent Work ◽  
Health Monitoring ◽  
Precision Agriculture ◽  
Research Interest ◽  
Agricultural Activities ◽  
Cognitive Technology ◽  
Considerable Research ◽  
Crop Farming ◽  
Fruit Grading

Machine vision for precision agriculture has attracted considerable research interest in recent years. The aim of this paper is to review the most recent work in the application of machine vision to agriculture, mainly for crop farming. This study can serve as a research guide for the researcher and practitioner alike in applying cognitive technology to agriculture. Studies of different agricultural activities that support crop harvesting are reviewed, such as fruit grading, fruit counting, and yield estimation. Moreover, plant health monitoring approaches are addressed, including weed, insect, and disease detection. Finally, recent research efforts considering vehicle guidance systems and agricultural harvesting robots are also reviewed.

Bi19S27I3 nanorods: a new candidate for photothermal therapy in the first and second biological near-infrared windows

Nanoscale ◽  
2021 ◽  
Author(s):  
Jinsong Xiong ◽  
Qinghuan Bian ◽  
Shuijin Lei ◽  
Yatian Deng ◽  
Kehan Zhao ◽  
...  
Keyword(s):  
Cancer Therapy ◽  
Photothermal Therapy ◽  
Near Infrared ◽  
Research Interest ◽  
The Past ◽  
Nir Light ◽  
Considerable Research ◽  
Key Factor

Near-infrared (NIR) light induced photothermal cancer therapy using nanomaterials as photothermal agents has attracted considerable research interest over the past few years. As the key factor in the photothermal therapy...

scholarly journals Quantifying the impact of disorder on Li-ion and Na-ion transport in perovskite titanate solid electrolytes for solid-state batteries

2020 ◽  
Vol 8 (37) ◽  
pp. 19603-19611
Author(s):  
Adam R. Symington ◽  
John Purton ◽  
Joel Statham ◽  
Marco Molinari ◽  
M. Saiful Islam ◽  
...  
Keyword(s):  
Solid State ◽  
Ion Transport ◽  
Solid Electrolytes ◽  
Research Interest ◽  
Considerable Research ◽  
Solid State Batteries ◽  
Li Ion ◽  
All Solid State Batteries ◽  
And Performance ◽  
The Impact

Solid electrolytes for all-solid-state batteries are generating considerable research interest as a means to improving their safety, stability and performance.

Unemployment, Underemployment, Occupational Stress and Psychological Well-Being

2002 ◽  
Vol 27 (1_suppl) ◽  
pp. 137-148 ◽  
Author(s):  
Anthony H. Winefield
Keyword(s):  
Occupational Stress ◽  
Social Issues ◽  
Well Being ◽  
Research Interest ◽  
Future Research ◽  
Research Directions ◽  
The Past ◽  
Considerable Research ◽  
Future Research Directions

Research on unemployment, underemployment and organisational stress have become major social issues over the past 20 years and have attracted considerable research interest on the part of organisational psychologists both in Australia and overseas. Globalisation has led to restructuring and downsizing in many industrialised societies and a shift, for many workers, from the prospect of secure, long-term employment, to unemployment or inadequate or insecure employment. This paper reviews the research on these topics, discusses their theoretical implications and suggests future research directions.

scholarly journals Agricultural Vehicle Robot

2018 ◽  
Vol 30 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Noboru Noguchi ◽  
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Precision Agriculture ◽  
New Technologies ◽  
Sensor Integration ◽  
Global Positioning ◽  
Agricultural Vehicle ◽  
Vehicle Automation

With the intensive application of techniques in global positioning, machine vision, image processing, sensor integration, and computing-based algorithms, vehicle automation is one of the most pragmatic branches of precision agriculture, and has evolved from a concept to be in existence worldwide. This paper addresses the application of robot vehicles in agriculture using new technologies.

Features Extraction for Eggplant Fruit Grading System Using Machine Vision

2008 ◽  
Vol 24 (5) ◽  
pp. 675-684 ◽  
Author(s):  
V. K. Chong ◽  
N. Kondo ◽  
K. Ninomiya ◽  
T. Nishi ◽  
M. Monta ◽  
...  
Keyword(s):  
Machine Vision ◽  
Features Extraction ◽  
Grading System ◽  
Fruit Grading

Quantum Channels with Memory

2012 ◽  
Vol 62 (3) ◽  
Author(s):  
Tomáš Rybár
Keyword(s):  
Measured Data ◽  
Research Interest ◽  
Quantum Channels ◽  
Unitary Evolution ◽  
Causal Processes ◽  
Considerable Research ◽  
With Memory ◽  
Special Case ◽  
Collision Models ◽  
Structure Properties

AbstractQuantum memory channels represent a very general, yet simple and comprehensible model for causal processes. As such they have attracted considerable research interest, mostly aimed on their transfer capabilities and structure properties. Most notably it was shown that memory channels can be implemented via physically naturally motivated collision models. We also define the concept of repeatable channels and show that only unital channels can be implemented repeatably with pure memory channels. In the special case of qubit channels we also show that every unital qubit channel has a repeatable implementation. We also briefly explore the possibilities of stroboscopical simulation of channels and show that all random unitary channels can be stroboscopically simulated. Particularly in qubit case, all indivisible qubit channels are also random unitary, hence for qubit all indivisible channels can be stroboscopically simulated. Memory channels also naturally capture the framework of correlated experiments. We develop methods to gather and interpret data obtained in such setting and in detail examine the two qubit case. We also show that for control unitary interactions the measured data will never contradict a simple unitary evolution. Thus no memory effects can be spotted then.

Visual interpretation of known objects in constrained scenes

1992 ◽  
Vol 337 (1281) ◽  
pp. 361-370 ◽  
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Machine Vision ◽  
Recent Work ◽  
Three Dimensional ◽  
Neural Mechanisms ◽  
Visual Interpretation ◽  
Natural Vision ◽  
Analogue Models ◽  
Dynamic Filters

Recent work on the visual interpretation of traffic scenes is described which relies heavily on a priori knowledge of the scene and position of the cam era, and expectations about the shapes of vehicles and their likely movements in the scene. Knowledge is represented in the computer as explicit three-dimensional geometrical models, dynamic filters, and descriptions of behaviour. Model-based vision, based on reasoning with analogue models, avoids many of the classical problems in visual perception: recognition is robust against changes in the image of shape, size, colour and illumination. The three-dimensional understanding of the scene which results also deals naturally with occlusion, and allows the behaviour of vehicles to be interpreted. The experiments with machine vision raise questions about the part played by perceptual context for object recognition in natural vision, and the neural mechanisms which might serve such a role.

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