Plan4all as a Participating Organisation in the GEO Programme Board

We are delighted to let you know that the Plan4all association, one of  the 138 Participating Organizations of the Group on Earth Observation (GEO), has received a seat in the GEO Programme Board

The GEO Programme Board supports the ongoing development and implementation  of the GEO Strategic Plan 2016 – 2025: Implementing GEOSS through multi-year GEO Work  Programmes. 

Specifically, the GEO Programme Board: 

  • Works to ensure the overall coherence and alignment of the GEO Work Programmes with  GEO’s Strategic Objectives and Core Functions; 
  • Works to align the scope and substance of tasks, GEO Initiatives and Flagships in the  GEO Work Programme with the resources committed by Members and Participating  Organizations; 
  • Supports and enables cross-cutting coordination and knowledge exchange, especially best  practices; and 
  • Promotes GEO Work Programmes and engagement of stakeholders in their  implementation. 

Becoming a Participating Organisation of the GEO Programme Board is considered as a significant achievement and appreciation of our work and the work of our members.

AgriHub INSPIRE Hackathon 2021 has included discussion about building the team for new Horizon Europe calls

As part of the sustainability of the innovation experiments taking place within the AgriHub CZ&SK project, we decided to include a discussion on building new teams for Horizon Europe Calls as part of the activities of each AgriHub INSPIRE Hackathon challenge. Working in teams gives an excellent opportunity to identify potential partners and technologies for future challenges. This can lead to the establishment of long-term collaborations between some partners. A common work can bring together people from different technical, business and user communities and open up new opportunities for future work, which can help you to identify who may be useful for future collaborations. We have already identified some potential calls that could be relevant for hackathon challenges.

A common interest for Challenge #1 Crop Detection, Challenge #2 Crop Status Monitoring  and Challenge #8 – Business cases for WhiteBoard has been identified in the following calls:

During our next discussion we plan to select one priority. Join us in our hackathon activities. Register yourself to challenges at https://docs.google.com/forms/d/e/1FAIpQLSeBsv2awD05L6q_4zxST9hR81ar8WxSnR7zfdf9VRfQLzITnQ/viewform

AgriHub INSPIRE Hackathon 2021 Kick-off Webinar

Are you thinking about joining a hackathon and don’t know how to do it? Or are you still unclear about the objectives of the challenges? Then don’t hesitate to take advantage of this unique opportunity to learn more about the hackathon within one hour.

During this special webinar, we will give you an overview of the main mission of the AgriHub INSPIRE hackathon. Our mentors will tell you more about goals of individual challenges that have been defined for the hackathon and last but not least, we will provide you with the information on how you can get involved in the hackathon as a participant.

In case of your interest, do not hesitate to register for this webinar HERE!

***The registration for the challenges is still open! Check the table below, choose the challenge and register for the hackathon HERE***

TEAMPROJECT TITLE & DESCRIPTIONMENTOR
TEAM 1Crop Detection
Crop detection will be based on analysis of time series from Sentinel-1 and Sentinel-2 and other data using AI methods. These outputs will be offered to advisory services, financial and public sector.
Herman Snevajs, Iva Bartlova
TEAM 2Crop Status Monitoring
Crop status monitoring methods based on analysis of time series of Sentinel-1 and Sentinel-2 and other data (crop rotation, IoT, yield monitors, etc.)
Herman Snevajs, Vincent Onckelet
TEAM 3Agro Environmental Services
Agro-environmental services will provide uptake of Copernicus and INSPIRE to support agri-food and environmental opportunities.
Martin Tuchyňa
TEAM 4Irrigation Management
Irrigation management will provide recommendation for integration of existing climatic, IoT and Copernicus data.
Jakub Fuska
TEAM 5Extreme Weather
Extreme weather will provide recommendations for the integration of climate data, IoT and Copernicus data.
Tereza Šamanová
TEAM 6Drones utilisation for crop protection
Utilisation of drones for crop monitoring and application of pesticides/herbicides
Miroslav Konečný, Zuzana Palková
TEAM 7Analysis, processing and standardisation of data from agriculture machinery for easier utilization by farmers
Machinery monitoring challenge will provide the analysis, processing and standardization of data from the agricultural machinery and thus its easier utilization by farmers.
Pavel Gnip, Jaroslav Šmejkal
TEAM 8Business cases for WhiteBoard
Identifying new business cases for utilization of MapWhiteBoard as a part of different applications or as a part of different solutions.
Karel Charvát, Runar Stein Bergheim

Agrihub INSPIRE Hackathon: Challenge #8 – Business cases for WhiteBoard

The vision of the Map Whiteboard innovation was born out of a sequence of large-scale collaborative writing efforts using Google Docs. As opposed to traditional offline word processing tools, Google Docs allows multiple people to edit the same document—at the same time—allowing all connected clients to see changes made to the document in real-time by synchronising all changes between all connected clients via the server. The ability to work on a shared body of text, avoiding the necessity to integrate fragments from multiple source documents and with multiple styles removed many obstacles associated with traditional document editing. The Map Whiteboard technology seeks to do the same for the traditional use of GIS tools.

The Map Whiteboard is not limited to editing a shared dataset. The technology shares the entire map, presenting the data in the context of any background information that may be useful. It allows multiple clients to see the identical map interface and simultaneously draw on it, emulating the widespread use case of sitting around a meeting table looking at a map together, annotating it, pointing at “things”, and proposing changes. To realize the vision of the Map Whiteboard technology, it is necessary to make certain behaviour of GIS applications interoperable across instances and platforms. The interoperability is limited to the smallest common denominator between different platforms in terms of the types of business objects that are present in each application, what functions they expose and which events they emit.

The MapWhiteboard (Link) was developed over the span of multiple INSPIRE Hackathons and during last INSPIRE Hackathon https://www.plan4all.eu/2021/06/the-open-spring-inspire-hackathon-2021-final-awards-ceremony-event/ the solution was awarded as the best challenge https://www.plan4all.eu/2021/03/challenge-7-interactive-collaborative-data-capturing-at-scale-technology-and-business-models/.   The current status was also published in research journal https://ojs.wiserpub.com/index.php/CCDS/article/view/897 

Challenge goals:

The goal of the challenge is to (a) develop new business cases where MapWhiteBoard technology may provide added value through  new applications or integrated into existing solutions and (b) further elaborate previously identified business cases. These are: (1) using the map whiteboard to improve the communication between agricultural advisors and farmers and (2) using map whiteboard technology to do collaborative data capturing for to inform decision making in land-use planning.

To identify and elaborate business cases, this challenge will stage discussions with representatives of envisioned end-users as well as developers and investors to look at different opportunities, and how to exploit them to build a viable business. The work in challenge will include the following activities:

  • Practical demonstration and testing of solution
  • Brainstorming about potential application for MapWhiteBoard
  • Trial integration with existing applications
  • Conceptual design for new applications
  • Development of lean business model canvas

Joint conference 20 – 21.10.2021

The 25th International Conference on Information Systems for Agriculture and Forestry (ISAF) & 14th Geomatics in Projects & 6th annual conference of Plan4All together with the conference Agriculture 4.0 is keeping the virtual format this year still due to the worldwide situation with COVID-19.

On behalf of the Czech Technology Platform for Agriculture and the Agricultural Association of the Czech Republic in cooperation with WIRELESSINFO, Plan4all, the Department of Geomatics of the University of West Bohemia in Pilsen and with the support of the European project SmartAgriHubs, we would like to invite you to a two-day international Joint Conference 2021.

The event will take place online on October 20 and 21, 2021

  • First day: Wednesday, October 20, 2021
    Conference “Information Systems in Agriculture and Forestry, Geomatics in Projects and Conference of the Plan4All Association” Topics: Agriculture * Transport * Cultural-historical * Technological * and others
    Language: this day will be held in Czech
    Program of the day and confirmed speakers: https://kgm.zcu.cz/geomatics-in-projects-2021/programme/
  • Second day: Thursday, October 21, 2021
    International Conference “Agriculture 4.0” Topics: Smart Farming * Clima * Circular Economy
    Language: this day will be held in English
    Program of the day and confirmed speakers: https://kgm.zcu.cz/geomatics-in-projects-2021/programme/

The conference is free of charge and will take place via ZOOM (a link to connect will be sent to you after Registration)

https://us06web.zoom.us/j/87575408783?pwd=UEJpdGNsQW5FNlNvVzZRVmVoWUxlUT09

Registration is common for both days: https://forms.gle/UnVMM2dJHyREDpSXA

Website JOINT CONFERENCE 2021: https://kgm.zcu.cz/geomatics-in-projects-2021

We look forward to meeting you!

Agrihub INSPIRE Hackathon: Challenge #7 Analysis, processing and standardisation of data from agriculture machinery for easier utilization by farmers

Operation of agricultural machinery significantly influences the economic profitability of crop management. First of all, the fuel consumption, machines and operators workload, control of performed treatments and the environmental effects such as reducing the risk of deterioration of soil physical properties. From a technical point of view the monitoring system involves tracking of the vehicles position using GPS combined with acquisition of information from on-board terminal (CAN-BUS, ISOBUS – ISO XML) and their online or offline transfer to GIS environment.

Verification of the monitoring system will be done at medium-sized farm, where it will serve for an evaluation of tractors work during basic operation such as soil tillage, fertilization, sowing and application of pesticides. Similar monitoring will be tested at the enterprise which is offering services for farmers for assessing the quality of work for customers.

  • Evaluation of the economic efficiency of machinery operations within the fields
  • Precise records of crop management treatments
  • Management of machinery operations – increasing the efficiency of planning of crop management
  •  Control of requirement for field operations:
    • control of pass-to-pass errors and overlaps, coverage of maintained area and recommended work speed
    • Control of applied input material in comparison to prescribed rates
    • On line monitoring of weeds
    • On line monitoring of weather on machinery

CHALLENGE GOALS:

Tracking the machinery fleet which allows localization of farm vehicles in real time. This information provides an overview of current operations of machines and is crucial for the planning of field work and an evaluation of machines usage in time. Monitoring of machine location using GPS and GSM/GPRS allows calculating working time, downtime and base information from CAN-BUS, ISOBUS (ISOXML). The base alarm function could be implemented into the system to alert when the machine is leaving the defined area or in case of rapid decrease of the fuel level.


Figure 1: Farm telemetry

Evaluation of economic efficiency of the crop management treatments within the fields. A prerequisite is the identification of fields and tractor equipment for the accurate estimation of field job costs based on the fuel consumption and used and working time. An analysis of tractor passes with information about machine parameters allows evaluating compliance of working widths and operation speed, which are an indicator of the quality of field work. Simultaneously records of performed operations will be used in agronomic registration.

Evaluation of machinery passes on the soil environment. This includes detailed analysis of the tractor trajectories within the fields considering the site specific conditions. The aim is to estimate the negative effect of machine tracks on the soil environment (especially soil compaction) and compliance of agro-environmental limits (nitrates directive, GAEC, protection of water resources, etc.). An optional extension of this evaluation represents a connection of machinery tracking with the records of applied materials (fertilizers, pesticides) from the board computer to check the accuracy of the application of agrochemicals.

The registration for the challenges is open! Are you interested in this challenge? Register for this hackathon challenge HERE.

Agrihub INSPIRE Hackathon: Challenge #6 Drones utilisation for crop protection

Good health and nutritional condition of crops as well as optimal physical, chemical and biological properties of soil are important features of the effects of certain environmentally friendly technologies and management efficiency in a crop production. Currently, the health’s diagnosis and nutritional condition of crops are mostly made on the basis of knowledge and experience of agronomists and long-term soil-climatic information about the particular production region. However, there is an absence of unified procedures and methodologies for reliable decision-making. Now, the high current research topic and in full compliance with the AgriHub CZ&SK scope is given at the time of development of information technologies and intelligent systems to support decision making. Focal orientation of the activity is aimed to evaluation of health status of the economically important agricultural crops and to evaluation of occurence of pests and diseases concentrations in the target crop and soil.

At the present time, the farmers are using their subjective ratings for diagnosis of nutrition and health condition of crops, respectively advice from specialists or distributors of fertilizers and plant protection products. This diagnosis is inaccurate in many cases and leads farmers to wrong decisions with a negative impact to production and thus economic efficiency of the business. The current trends tell us that just two-dimensional optical systems and computer vision represent the direction that is heading toward the development of new innovative methods for identification and location of the specific objects. Wide range of possibilities of application of these technologies helps to its development and finds new ways of its use and implementation in agricultural machinery.

On the one hand, visual detection and object recognition by using multispectral images is a very complex problem, but the farmer can respond to the current situation more variable where the situation is often and rapidly changing in the agricultural sector.

On the other hand, it is possible to simultaneously monitor several areas because data processing can be made significantly more complex. The mapped areas can be analysed, identified and realisabled with 2D respectively with a 3D image processing system much more precisely as current existing sensor systems and methods. The factors of cost and productivity are added in the specific types of applications, for example mapping of agricultural areas or localizing specific objects which are globally positive (useful) for standardization of the entire detection and control system for decision support.

CHALLENGE GOAL: The main aim of the activity is to develop sensing methodology, a hardware and software solution being able to determine the coordinates of each region together with its geometrical dimensions in order to provide accurate information in the form of maps of areas with weeds, pests and diseases, or areas with low nutrient concentrations, using commercially available unmanned vehicles that will include specialized sensing devices. 

The proposed methodology for identifying problematic areas of a selected crop will result from the measured data, whether in an imagery form through specialized cameras, or from sensors. Consequently problematic areas in the crop will be identified and then the anticipated nature, extent and cause of damage will be determined. The system determines the coordinates, suggests procedures, methods and dosage and unmanned devices apply designated substances.

The autonomous and independent sampling of plants for the thorough identification of weeds, diseases, or pests in a selected crop, and the collection of soil samples to determine the physico-chemical properties will be implemented in two forms:

  •     Higher crops – using commercially available unmanned vehicles complemented with a unique robotic device designed for the actual sampling, storage, and transfer of biological material;
  •     Lower crops – a mobile autonomous device will include a robot for the collection, storage, and transport of samples of soil and biological material.

The (information) system to support decision-making in the field of the automated assessment of measured and collected data for the purpose of the precise application of chemicals to eliminate weeds, pests, and diseases in a crop or adding nutrients to the soil. The system for the decision support will include a mobile application which will provide the information on the precise localization for the application of chemicals based on created maps and GPS signals.

The registration for the challenges is open! Are you interested in this challenge? Register for this hackathon challenge HERE.

Agrihub INSPIRE Hackathon: Challenge #5 Extreme weather

Recent advancement in predictive skill and spatio-temporal resolution of short-term forecasts as well as availability of seasonal weather forecasts can provide additional assets in crop management optimization and significantly contribute to reducing the negative impact of extreme weather.

The main focus of this activity is to build dedicated downstream services based on Copernicus EMS (CEMS), Atmosphere (CAMS) and Climate Change (C3S). CEMS provides already free access to flood, forest fire and drought early warning and monitoring. Copernicus Atmosphere and Climate Change service holds freely available estimates of important climate indices for past, present and future climate conditions which could be exploited also in the domain of agriculture. Accessing this data and building agriculture-oriented services is likely not feasible for small user groups or single users. Therefore, SmartAgriHub could provide a single-entry port and co-design eco-system for shaping, implementation and integration of such a service.

Challenge will include: 

  • Exploitation of the possible use of Copernicus Emergency Management services including European Flood Awareness System and European Drought Observatory 
  • Integration of the information from volunteer observatories of extreme events repositories to provide additional source of information to be assimilated with traditional observations available or to complement missing observations (e.g., hail) to be used for e.g., insurance claims. 
  • Integration of VGIs and citizen science data to validate/assimilate/train remove observations (e.g., crop diseases, grow monitoring)


Picture 1: CEMS Data Access



Picture 2: CAMS Data Catalogue


Picture 3: CAMS Daily Analyses and Forecasts


Picture 4: C3S Data Store Toolbox


Picture 5: C3S Data Store API

Whom do we search for? What skills should the participant have?

  • SMEs and/or research teams coming from academia, RTOs as well as larger companies able to build API, data models, and, as a result, solutions that could be used as an early-warning system related to extreme weather for small user groups or individual farmers.
  • The participants should be familiar or be able to work with Copernicus EMS (CEMS), Atmosphere (CAMS) and Climate Change (C3S) and build their solutions on these predictive systems
  • The proposed solutions should be applicable in the conditions of small groups of farmers or individual farmers – which means simple, user friendly and intended for a non-tech community.

The registration for the challenges is open! Are you interested in this challenge? Register for this hackathon challenge HERE.

 

Agrihub INSPIRE Hackathon: Challenge #4 Irrigation management

The challenge is focused on the calculation of the water reservoir storage capacity based on the DEM of reservoir bottom and current water level with the incorporating the water reservoir watershed parameters and precipitation forecast. The input data should be stored and processed in WebGIS server platforms (GeoServer, PostGIS).

As the farmers are pumping out the water from reservoir, the water storage is decreasing and the water level is descending. The water level elevation can be surveyed with existing prototype of ultrasonic sensor that stores the currently measured and calculated water level elevation in database and with the use of reservoir DEM we can calculate the current amount of water in reservoir.

As the longer periods of droughts are presumed worldwide (climate change in progress), the amount of available irrigation water is crucial. If we would be able to incorporate the data from watershed (watershed terrain slopes, land use, soil types, etc.) and the prediction of precipitation (weather forecast), we can predict the amount of water that will flow to reservoir during drought period and during/after rain event. This would help the farmer to manage the usage of remaining water amount in reservoir by altering the uptake of water for irrigation.

Provided data:

  • Reservoir bottom DEM and Reservoir watershed DEM, Soil map – georeferenced GeoTIFF data
  • Current water level – current value stored in the database – this will be only simulation of real operation as the water level sensor will not be deployed in real conditions

Data to provide by participants:

INSPIRE data suitable for rain forecast (optionally other meteorological data reqired for possible more precise hydrological models), Land use (e.g. CORINE dataset, Satellite imagery and its products) and so on.

We are looking for participants that are familiar with GIS modelling and hydrology (surface runoff modelling) and Web/WebGIS coding (GeoServer, PostGIS, web map libraries such as Leaflet, OpenLayers).

The registration for the challenges is open! Are you interested in proposing the water irrigation decision support tool that will be later available at Czech and Slovak Agrihub? Register for this hackathon challenge HERE.

Figure 1: Elevation data of reservoir bottom and reservoir watersheshed

Figure 2: WebGIS map of water reservoir – usable on computer or in the field with cellphone

Figure 3: Sensor and communication unit to provide the current water level elevation survey