FIRA is a leading global event series, which this year is focused on the new era of robotics in agriculture and the huge impact it will have on the whole value chain. For the sixth year running, FIRA will be a hybrid in-person/online event, and is expected to attract 3000-plus attendees from around the world, including robot manufacturers, agricultural businesses, producers, investors, suppliers and entrepreneurs.
The 2023 Queensland Geospatial Conference & Awards Dinner will be held in Brisbane on Friday, 20 October 2023.
The conference will be a chance for the Queensland geospatial community to learn about the latest projects and research, connect with colleagues and see the latest technology from local suppliers. The conference will be followed by the awards dinner.
Presentation abstract proposals are being accepted until Monday, 28 August.
Image credit: ©stock.adobe.com/au/rudi1976
The International Association of the IEEE-Geoscience and Remote Sensing Society (GRSS), the IEEE-Computational Intelligence Society (CIS) and the local organising committee invite geospatial and computing professionals to attend the International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) to be held in Wellington, Aotearoa New Zealand in April 2024.
MIGARS aims to explore the interface of machine intelligence approaches with geosciences, spatial analytics, and remote sensing. With the tremendous developments in remote sensing technology, data acquisitions and sensing platforms, digital data have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources, such as multi-platform remote sensors and IoT devices, informing decision-making and monitoring our planet.
The conference will focus on connecting researchers from various disciplines, including computation/artificial intelligence, engineering, remote sensing, hydrology, agriculture and geosciences, and look for the potential use of intelligent computational approaches for geo-data-based applications and for serving society at large.