Find out more about the Finalists and their Smart M.Apps.
The Wroclaw Institute of Spatial Information and Artificial Intelligence
Tomasz and his team Marek Strzelecki, Iwona Kaczmarek, and Bartosz Majster created Mind M.App: The first application combining a graph data model with the professional geospatial platform. Mind M.App allows creating maps of associations between entities. Using it you can record complex knowledge gathered during research or investigation and combine it with external data sources using RDF technology. Once you have your mind map created you can discover hidden links, spatial patterns and infer new knowledge. In result you will be able to solve e.g. criminal case more quickly and in a more reliable way.
Read an interview with Tomasz.
Paul GeurtsSmart Emission M.App
Noel KhanAiGIS: US Tax Maps
AiGIS: US Tax Maps Automatically georeferences US Assessor maps to GIS parcels. Rather than relating US Assessor maps and GIS data using attributes, leverage the spatial relationships between those datasets by quickly and automatically georeferencing US Assessor maps.
Watch Noel talk about his project.
Andrew KerrEverybody Counts
Everybody Counts: My Safari is an end-to-end turnkey product to harness the power of crowd-sourcing data. It uses public mobile app for data collection which includes a secure database and private, powerful, real-time data analysis tool.
Jens HiestermannGeoFarmer — A Monthly Crop Monitoring Tool
GeoFarmer — A Monthly Crop Monitoring Tool analyzes growth stages of agriculture in near real-time. This app uses climatic data and satellite imagery to determine field-specific crop status. This app can be used by agricultural estimators, insurers, and commodity traders.
Watch Jens talk about the project.
Jose Luis BarajasAgromapps
Agromapps organizes agricultural projects and provides information to agricultural professionals on stating goals, planning, incidentals, costs, incomes, and geospatial information.
Field Research Planner
Field Research Planner Efficiently create your marketing field research plan. Use the census data, select the survey area and relevant statistical indicators to calculate representative sample size distributed per administrative units within the area. Print the outcome as a PDF or download reports to hand out to your field team.
Watch an interview with Oscar.
aNoise Estimator estimates noise level at provided locations to enable informed decision making. Currently estimates traffic noise level based on traffic volume, distance from roads, and surface absorption.
Ute GangkofnerGlobal Green Analyzer
Global Green Analyzer Compare vegetation time series data up to 16 years ago to discover trends and anomalies to make informed decisions on managing resources. Updated every 16 days, maps and diagrams present information about deficits, changes, and continuity of vegetation development and habitat potential.
Read an interview with Ute.
.GEO Teach geography using localized games. Discover Your "neighborhood" and learn about spatial processes, environmental issues happening in your region or location playing this educational game. Get points and share your scoring with your friends. Teachers can use this teaching and learning app in the classroom to teach geography and environmental awareness. Students and parents can learn about their home state and county.
Read an interview with Łukasz.
Dr. Liping Di
Safe Neighborhoods Find safe neighborhoods by understanding the relationship between crime statistics, demographics, political boundaries, and other factors. General public can make decisions on safe travel destinations and relocation. Local agencies can understand the relationship between crime and census data to plan safety strategies.
Read an interview with Li.
Neil MeadowsPixel Farm™ – Crop Analyzer
Christopher NankervisClimate–Smart Crop
Mieki Peeters-van BerkelDynamic Monitor for Predicting Charging Points Electric Transport
Dynamic Monitor for Predicting Charging Points Electric Transport provides information about strategic placement of charging points for policy and decision makers. A tool that:
- predicts the most likely (public space) locations within a city for charging point requests;
- provides an overview of the most suitable locations in public spaces for charging points based on spatial planning, user and network criteria;
- Visualizes the usage of installed charging poles in public space.
Watch team member Cesar Blaauwgeers talk about the project.
Stefano PicchioSmart AgriLand
Smart AgriLand Monitor crops saving money. Provides a user-friendly environment for monitoring your own crops over time. With Earth Observation images, you can manage your farm more precisely, saving money, time, and the environment. Select your crop from the map and monitor it using images from the sky!
See more about the project.
Jinfei WangTime Series Visualizer
Time Series Visualizer This Smart M.App lets you see space-time series imagery in a user-selected area. You can draw a polygon or sets of polygons and see spatial temporal statistics using graphs and tables.
POWER.PLANT Diagnoses the state of a crop by collecting data using satellite images, sensor data, or other sources and generates reports that make specific recommendations for further soil or plant treatment of your crop.
Shaun WilliamsThe SNAP M.App
The SNAP M.App This M.App displays visual connections between points of interest on maps based upon a group attribute field. Connection links highlight associations based upon individuals or incidents which spotlights patterns and relationships beyond point reference maps.