Cutting-edge solutions for agriculture

AGROINTELLI is an agricultural company within the agri-plant domain,

developing new technical solutions within sensor, automation and robotics.

AGROINTELLI

A Danish company, founded in June 2015, where Ole Green is founder and CEO. The goal of the company is to transform new agricultural knowledge into products and technology platforms that can be used directly in the fields. The company’s main focus is on developing new intelligent solutions within sensors and automation for the agri-plant industry.

 

The company takes advantage of the great potential that exists within the areas of precision farming and automation. We are working on sustainable and effective solutions where we participate in lifting agriculture’s standards. The trend within the industry is directed towards more intelligent machines opposed to the conventional machines on the market today. AGROINTELLI is developing automation and intelligent solutions for distributors and machinery producers interested in the newest technologies on the market.

 

 

AGROINTELLI's main office is located in Agro Business Park’s Incubator at Agro Food Park in Skejby, Århus N.

 

 

Vision

Mission

To adopt new agronomic knowledge and scientific results as well as the latest trends from legislation within Europe and North America into innovative agronomic technologies.

To develop new technological platforms that can spin out new products and services for arable farming and to contribute to new procedures and methods for developing products with a greater focus on reliability, sustainability and profit.

 

Future Cropping

The vision of the Future Cropping partnership is to increase turnover of primary plant production and agro-technology by at least 600 million DKK per year and to create new jobs in the sector by 2030, while also decreasing the environmental impact.

The innovative idea of this partnership is to integrate data from distributed information sources to provide new technologies, solutions and cultivation techniques for modern high yielding and low emission precision farming.

 

The partnership will take a leading and long-term role in developing, demonstrating and continuously implementing innovative and intelligent methods, technologies and sustainable solutions to increase the efficiency of all the significant operations in the crop cultivation system.

 

As a result of the project, plough and seeder depth control system, among others, will be developed.

 

The project is financed by Innovation Fund Denmark.

Projects

RowCrop

RowCrop will develop the scientific foundation for improved control of aggressive annual and perennial weeds in a row cropping system and for cultivating more productive nitrogen fixing catch crops to enhance the nitrogen supply for crops. It will develop, evaluate and demonstrate a new row cropping that takes advantage of the latest developments in vision and GPS guided row cultivation systems. This will be done through integrating traditional arable crops with row cultivated legume-based catch crops and targeted weed control.

 

RowCrop will document the effects of the row cropping system on productivity, weed infestation, leaching and soil carbon in a long-term crop rotation experiment representing different organic crop rotation systems and different fertility and weed infestation levels. It will further demonstrate and disseminate results to advisors and farmers using field trials, open field days, workshops etc.

 

NewCut

The NewCut project will develop and demonstrate new tools for mechanical weed control for annual and perennial weeds. The goals are to reduce the workload of removing perennial weeds in organic crop production by 60%, while increasing and stabilizing the effects against annual and perennial weeds.

As a part of the project, new control modules for cultivators will be developed to achieve higher and safer effects on annual weeds; a new concept machine for controlling perennial weeds with shallow roots and stolons will be built; new technology will be presented and the results communicated; a long-term cooperation will be initiated along with ongoing development and testing of the new tools for mechanical weed control.

 

Optimek

OptiMek will develop and demonstrate effective mechanical alternatives to current practices for weed control. The goal is to decrease the impact of weeds on plant growth and to increase yields in organic crops by 5-10%, ensuring the continued production of selected Danish crops, such as garden seeds and plant beets.

 

As a result of the project, a precision seeder will be developed, which can sow the crop in a high capacity pattern. Moreover, a vision based module for weed control, which avoids damaging the crop will be built. Drones will be used to help with building a perennial weeds methodology.

 

There will be ongoing field demonstrations, presenting the optimal weed control in several types of crops with the use of the newest camera-controlled cultivators and other technologies. The newest acquired knowledge from inland and foreign sources will be disseminated.

 

SAFE  - Safer Autonomous Farming Equipment

The vision of the project is to develop safety systems that permit agricultural machines to autonomously handle all significant physical hazards in the field.

Today’s machine users are demanding reduced requirements for surveillance as well as maximum safety of humans and animals. This requires a significant improvement of all aspects of autonomous safety including: detailed models of possible risks encountered in the field, more advanced analyses of data from sensors, more advanced fusion of data from various sensors and more stable and safe behavior based on knowledge obtained from the sensors.

 

The business potential for the commercial partners is to reduce the workload of the farmers and at the same time reduce the harm done to animals in the fields. This means both cost reduction and wildlife preservation.

 

Multi-sensor system for ensuring ethical and efficient crop production

The vision of the project is to create new technological solutions that support efficient and future-oriented plant production with a minimized use of pesticides. The technology focuses on an ethical and animal-friendly approach to the interaction between intensive crop production and the surrounding nature.

In order to ensure efficient and ethical use of mechanical weed control machines, the machines must respond appropriately to obstacles, e. g. the machine can run over small rocks without problems, but they have to dodge larger rocks, bird nests and small animals in order to avoid damage to equipment or animals. A proper and accurate detection and classification of the obstacle is therefore essential for the optimal and ethical response.

The project objective is to explore and develop technology for the detection and classification of unexpected obstacles in the field of semi-autonomous agricultural machinery, so that an optimal strategy of action can be performed, whereby collisions can be avoided for the benefit of nature and economy.

 

The project is financed by Innovation Fund Denmark.

The outcome of the project is focused on technologies for decision support for semi-autonomous agricultural machines, with machines for mechanical weed control as a recurring case.

INTO-CPS

The INTO-CPS project is about Co-simulation of a cyber physical system. A CPS is product or prototype consisting of several technologies e. g. an agricultural implement designed in a CAD-model, a hydraulic system for moving parts on the implement and an electronic control system programmed with software for controlling the hydraulics.

The goal of the INTO-CPS (Integrated Tool chain for model-based design of CPSs) project is to reduce the development time and cost of physical prototypes by modeling and Co-simulation of all systems (electrical, software, hydraulic, mechanical, etc.) of the final intended physical product. The modeling will be done by integrating a series of simulation and modelling tools to create a tool chain, allowing for powerful analysis of the complete cyber physical system/prototype.

Once the integration of the tool chain is complete and the models for simulation are built, requirements of the final product can be validated, verified, and traced throughout all of the systems - electrical, software, hydraulic, mechanical, etc., providing a comprehensive analysis of the final product, before it is built.

 

The INTO-CPS project utilizes 4 industrial case studies (automotive, agricultural, railways and building automation) to drive the production of the tools and methods and evaluate them. In the final stages of the project, INTO-CPS will form an Association to ensure that project results extend beyond the life of the project. Membership of the association will allow future case study owners access to information, training, and competitively priced licenses at various levels of support. Tool vendors will be offered services to help integrate their products into the tool chain.

 

 

The project is financed by Horizon 2020.

RECARE

The RECARE project has brought together a multidisciplinary team to assess the current threats to soils and finding innovative solutions to prevent further soil degradation across Europe.

17 case studies examine those threats in various soil types and in different conditions around Europe, finding suitable solutions by using an innovative approach, which combines scientific and local knowledge. Stakeholders select and evaluate the methods in terms of soil functions, environmental benefits, but also costs reduction.

 

 

The project is financed by EU-FP7 Program.

The soil threats addressed by this project are soil erosion by water, soil erosion by wind, decline of soil organic matter (SOM) in peat soils, decline of SOM in minerals soils, soil compaction, soil sealing, soil contamination, soil salinization, desertification, flooding and landslides, and decline in soil biodiversity.

SOILCARE

The purpose of the SOILCARE project is to protect and improve Europe’s arable soil. The project will identify, evaluate and develop soil-improving cropping systems for European crop production while reducing environmental impacts.

The ability to apply these soil improving systems will be analyzed by up-scaling the results to a European level. In addition, the potentials of soil-improving cropping systems, profitability, sustainability, social impacts, and barriers for adoption at a large scale will be analyzed. 16 study sites across Europe covering different pedo-climatic and socio-economic conditions will be evaluated. Implemented cropping systems will be monitored with stakeholder involvement, and will be assessed jointly with scientists. Specific attention will be paid to adoption of soil-improving cropping systems and agronomic techniques within and beyond the study sites.

 

 

The project is financed by HORIZON 2020.

The benefits and drawbacks of the soil improving cropping systems will be evaluated, incorporating all relevant bio-physical, socio-economic and political aspects.

Commercialization of an autonomous robot for arable plant production

The scope of the Market Development Fund project is to mature the robotic platform developed by AGROINTELLI towards commercialization within a two year period. The product is a semi-automated tool carrier for arable plant production, e. g. maize, sugar beets.

The project will test the final design of the robot, create and finalize the user-interface, investigate its price range, prepare it for manufacture, finalize the marketing plan, create instruction and service manuals, maintenance and service plan, and create advertising materials.

 

The project is financed by the Market Development Found (Markedsmodningsfonden).

 

The aim of the Market Development Fund is to promote growth, employment and export for small and medium-sized enterprises in Denmark. While most subsidies focus on the early development phases, this fund helps enterprises bring their innovative products to the market faster.

Contact

AGRO INTELLIGENCE ApS

Ole Green CEO

Agro Food Park 13, Skejby

DK-8200 Aarhus N

Alea Scovill COO