Meet the incubator participants
The participants of the New Zealand Aerospace Challenge 2019 (by region) are:
Sensors and Smart Systems Laboratory, Massey University
Specialising in sensors, optics, mechatronics, robotics, machine vision and artificial intelligence the team from Massey will use manufacturing and UA technology to monitor agricultural variables including urine patch detection, pasture measurement and pest detection.
Q-Farm is an Auckland based startup comprising of a group of graduate students. The team will leverage existing remote satellite and UA imaging technologies to provide meaningful data driven solutions for precision agriculture. Through continuous evaluation of pasture quality they will mitigate and quantify the damaging effects of pesticide use and over-fertilisation.
With a focus on the impact of farming in an urban semi-industrial context. The team has experience in data modelling, sensor IoT experience, geo spatial image processing and predictive analytics for water quality in Auckland.
Kuaka Environmental Analysis
Kuaka Environmental Analysis is a team of postgraduate students from the University of Auckland with a passion for flight, space and the environment. They aim to link satellite and UA technology to provide a broad, continuous picture, and high-resolution pollution tracking on land and in water.
The Intelligent Vision Systems Laboratory
The Intelligent Vision Systems Laboratory (IVS) specialises in hardware, sophisticated algorithms, and machine learning to allow computers to construct detailed models at various scales and resolutions. The team will work to provide a vision-based solution for the Challenge.
Knode is a SAAS application connecting agricultural systems with the teams that manage them in real time. In the Challenge they will be exploring tools that will help farm managers to identify areas prone to surface run-off and the subsequent management of nutrient and effluent spread.
Drone Technologies NZ Ltd
Based in Okato, this team of UA and geographic information system experts have experience providing a range of aerial data collection solutions across NZ. Their latest focus is near real-time autonomous environmental monitoring.
This Wellington-based team, are developing a self-governance platform to infer the nature of land use and the resulting water and soil pollution using satellite and UA footage, balancing costs with rules negotiated directly and independently between the ecosystem participants.
Dyaus is an artificial intelligence company geared towards solving complex optimisation problems using machine learning. Team Dyaus plans to optimise riparian mangement toward minimising water pollution using aerial data.
Based in Christchurch this team is looking to develop a long-range aerial drone service which provides cost effective sampling of waterways and soil.
Entuitive specialises in environmental and geotechnical data collection and analysis software. Their mission is to produce a system that can help target areas which are likely to be impacting waterways, these will initially focus on the increase of nitrates and total suspended sediment within waterways.
Bringing together specialists in hydrology, remote sensing, geographic information system and UA technology, this team will use data from satellite and airborne sensors to identify agricultural pollution sources and pathways.
The Lincoln University team plans to estimate nitrogen content in pasture using UA and satellite data based on a developed Artificial Neural Network (ANN) model.
With a background in geoscientific data modelling the Seequent team have experience in hydrogeologic modelling and related environmental applications. For the Challenge they will be looking for proxies for lake health with remote sensing which can in-turn be used on other lake bodies.
Kea Aerospace is building the unmanned high-altitude aircraft Kea Atmos, a solar powered fixed-wing aircraft with a flight endurance of multiple weeks and the ability to fly in the stratosphere to collect high resolution multi-spectral imagery. For the Challenge the team will build a small-scale version of this aircraft as a technology demonstrator. The collected high resolution imagery will provide the means for accurate, large scale water and soil pollution monitoring.
This secondary school team will use satellite imaging systems to measure flow rates in Canterbury's braided rivers. They’ll be looking to measure the wetted surface area of a river which will provide a good proxy for comparison with the Environment Canterbury water flow sensor network.
Based in Cromwell the Landpro team specialises in helping people to make the best use of land, while leveraging technology to improve sustainabilty and minimise environmental impact. They aim to provide a solution to monitor water quality using remote sensing data from aerial sensors.
AdaptIQ was created to explore the utilisation of the latest technologies in relation to practical land and water use. They plan to focus on analysing and modelling of multispectral indexes from both satellite and drone platforms.