Conferences On Sensing For Agriculture And Robotic Vision Among Expanded Topics At SPIE Defense And Commercial Sensing

http://www.photonicsonline.com/doc/conferences-on-sensing-for-agriculture-and-robotic-vision-0001

Precision agriculture, next-generation robotics among wide range of commercial applications

Practical, new sensing technologies enabling wide-ranging applications such as increasing crop productivity, improving neurosurgery, and delivering groceries by drone will be among topics at SPIE Defense and Commercial Sensing in Baltimore 17-21 April 2016. The event includes technical conferences, an education program, and an exhibition, and is sponsored by SPIE, the international society for optics and photonics.

The long-standing meeting is the largest event for the defense and security community's optics and photonics technology, including infrared cameras, lasers, spectroscopy, 3D imaging, plus terahertz, and multi- and hyperspectral imaging.

This year, conferences are organized into two tracks, Defense and Security, and Commercial and Scientific Sensing and Imaging.

The event's new name for 2016 reflects the growing commercial application of optical technologies initially developed for defense into new applications for commercial products, industrial inspection such as machine vision or quality control, and scientific research capabilities.

Conferences on Sensors for Next-Generation Robotics -- in its third year -- and Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping -- new this year -- serve as examples of helping robots "see" and "feel."

The robotics conference will look at next-generation sensors, sensor packaging, and sensor miniaturization. Topics will include both vision-based optical sensors, such as those used in cameras and lidar systems, and direct-contact and pressure sensors, with applications such as in robot "skin," said Dan Popa, of the University of Texas at Arlington who chairs the event with UT Arlington colleague Muthu Wijesundara.

"Applications where new, more intelligent robots are needed cut across all dimensional scales and industrial sectors,"Popa said. "The scope of the conference will include emerging applications in micro- and nanosystems and devices, including for new robotics in commercially viable areas such as home management, healthcare in hospitals and assisted-living facilities, search-and-rescue activities in disaster areas, neural surgery, manufacturing, self-driving vehicles, and delivery drones."

Distributed sensors can be envisioned as enhancing perception, cognition, and control capabilities of next-generation robots, Popa noted. "One exciting next-generation application is endowing humanoid robots with perception capabilities comparable with those of humans, including distributed touch through robotic skin, hearing, and vision, but also super-human perceptions, such as the ability to see in the dark or through objects."

The conference on sensing systems for agricultural optimization and phenotyping is part of a set on industry, environment, and health applications. It will focus on topics such as UAVs (unmanned autonomous vehicles) and spectral imaging devices and cameras for collecting data in research and commercial agricultural settings.

Photonics technologies in agriculture are rapidly emerging as tools to increase food productivity and efficiency, noted chairs John Valasek and Alex Thomasson, both of Texas A&M University.

The world's current population of 7 billion people will increase to 11 billion by 2100, when population growth is predicted to plateau. Meanwhile, land available to agriculture is being reduced by urbanization, road building, and potential climate effects. So, the chairs say, food production per unit area must double in the next 85 years.

Two remedies are available: optimization of crop production through precision agriculture, and crop improvement through breeding and genetics coupled with high-throughput phenotyping. Both require autonomous air and ground sensing systems with an array of photonics technologies.

Conference topics will include:

• Air and ground-based autonomous vehicles for agriculture
• Imaging and non-imaging sensors and agricultural applications
• Theoretical and empirical decision-oriented data-analysis techniques including machine learning.

"The field is in an exciting period of exploration and expansion, as ground- and air-based sensor platforms with highly capable and reliable autonomy now permit highly detailed measurement of plant traits in the field," Thomasson said.

Of particular interest are workflow issues associated with capturing and processing large-volume datasets including multiple data types at various scales, Valasek said. "These would include sensor suites and vehicles that integrate or fuse multiple types of sensors and data (lidar, optical, thermal, spectral, radar, etc), and variable autonomy or re-programmable autonomy for conducting precision agriculture operations."

Other new conferences planned for SPIE Defense and Commercial Sensing 2016 are:

• Tri-Technology Device Refrigeration
• Advanced Optics for Defense Applications: UV through LWIR
• Ultrafast Bandgap Photonics
• Long-Range Imaging
• Anomaly Detection and Imaging with X-rays
• Computational Imaging.

For more information, visit www.spie.org/DCS.

About SPIE
SPIE is the international society for optics and photonics, an educational not-for-profit organization founded in 1955 to advance light-based science and technology. The Society serves nearly 264,000 constituents from approximately 166 countries, offering conferences and their published proceedings, continuing education, books, journals, and the SPIE Digital Library in support of interdisciplinary information exchange, professional networking, and patent precedent. SPIE provided more than $4M in support of education and outreach programs in 2014. SPIE is a Founding Partner of the International Year of Light and Light-based Technologies and a Founding Sponsor of the US National Photonics Initiative. For more information, visit www.spie.org.

SOURCE: SPIE