Small or medium-scale focused research projects (STREPs)alas.matf.bg.ac.rs/~mi10164/oupr/SmartGreenhouse-Easy… · Web viewEmerging Internet of Things (IoT) technologies, such

H2020-IOT-2016-2017 STREP proposal20/12/16 v1 [SGEF]

Small or medium-scale focused research project (STREP) proposalICT Call 1

H2020-IOT-2016-2017 [Smart Greenhouse - Easy Farming]

Special arrangements apply for the preparation of proposal Part B in the Objectives ICT-2009.9.2 and ICT-2009.9.5. See Annexes 7 and 8 of the Guide for applicants

[SGEF]

Small or medium scale focused research project (STREP)Date of preparation: 20.12.2016.Version number: v1

Work programme topic addressed IoT-01-2016, Large Scale Pilots, Pilot 2: Smart Farming and Food Security

Name of the coordinating person: Uros Milenkovice-mail: [email protected]

Participant no. * Participant organisation name Part. short name

Country

1 (Coordinator) Faculty of Mathematics, University of Belgrade

MATF Serbia

2 Faculty of Electrical Engineering, University of Belgrade

ETF Serbia

3 UC Berkeley's Department of Agricultural and Resource Economics

UCB USA

4 SPD Scuola Politecnica di Design SPD Italy

Proposal abstract

Improving farm productivity is essential for increasing farm profitability and meeting the rapidly growing demand for food that is fuelled by rapid population growth across the world. Farm productivity can be increased by understanding and forecasting crop performance in a variety of environmental conditions. Crop recommendation is currently based on data collected in field-based agricultural studies that capture crop performance under a variety of conditions (e.g., soil quality and environmental conditions). However, crop performance data collection is currently slow, as such crop studies are often undertaken in remote and distributed locations, and such data are typically collected manually. Furthermore, the quality of manually collected crop performance data is very low, because it does not take into account earlier conditions that have not been observed by the human operators but is essential to filter out collected data that will lead to invalid conclusions (e.g., solar radiation readings in the afternoon after even a short rain or overcast in the morning are invalid, and should not be used in assessing crop performance). Emerging Internet of Things (IoT) technologies, such as IoT devices (e.g., wireless sensor networks, network-connected weather stations, cameras, and smart phones) can be used to collate vast amount of environmental and crop performance data, ranging from time series data from sensors, to spatial data from cameras, to human observations collected and recorded via mobile smart phone applications. Such data can then be analysed to filter out invalid data and compute personalised crop recommendations for any specific farm.

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–Table of contents

Proposal abstract .................................................................................................................... 1

Section 1. Scientific and/or technical quality, relevant to the topics addressed by the call.... 3

1.1 Concept and objectives ........................................................................................3

1.2 Progress beyond the state-of-the-art ........................................................................6

1.3 S/T methodology and associated work plan .............................................................7

1.3.a Work package list ....................................................................................................9

1.3.b. List of Deliverables ...............................................................................................10

1.3.c. Milestones ............................................................................................................12

1.3.d Work package description .....................................................................................13

1.3.e Summary of effort .................................................................................................20

Section 2. Implementation ....................................................................................................21

2.1 Management structure and procedures ..................................................................21

2.2 Individual participants .............................................................................................22

2.3 Consortium as a whole ...........................................................................................25

2.4 Resources to be committed.................................................................................... 26

Section 3. Impact ..................................................................................................................27

3.1 Expected impacts listed in the work programme ....................................................27

3.2 Dissemination and/or exploitation of project results, and management of intellectual property ………………………………………………………………………………………...…28

Section 4. Ethical Issues ........................................................Error! Bookmark not defined.

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Section 1: Scientific and/or technical quality, relevant to the topics addressed by the call

The implementation of Smart Greenhouses has become possible thanks to the development of sophisticated sensors, robots and sensor networks combined with procedures to link mapped variables to appropriate farming management actions. Those sensors, integrated into an IoT system gather all the individual data needed for monitoring, control and treatment on farms located in a particular region.

1.1 Concept and objectives

Main idea is to create ideal conditions for easier farming, higher yield and healthier food. This idea is compatible with major goals expressed in Call H2020-IOT-2016-2017.

Smart Greenhouse – Easy Farming (SGEF) is a self-regulating, micro-climate controlled environment for optimal plant growth. Climatic conditions inside the greenhouse, such as, temperature, humidity, luminosity, soil moisture are continuously monitored. Small variations in these climatic conditions trigger automated actions. The automated actions evaluate change and take corrective action thus maintaining optimal conditions for plant growth.

The following are the main project objectives:

Objective 0: Project management

The goal of this objective is to make sure that absolutely each and every detail of this proposal, if it is awarded, be properly taken care of, which means:(a) All deliverables delivered in time,(b) All deliverables delivered at quality levels that satisfy the highest H2020 standards,(c) All deliverables delivered in a form which is consistent and helps convey the essence in a way which is easy to comprehend.For all this to happen, an effective set of system of reminders will be set.

Success criteria:

Optimization of the reporting processes involved in the project (deadlines) Optimization of the control processes involved in the project Optimizing finances of the project

Objective 1: Industrial design of greenhouse adapted to meet requirements of SGEF

To provide the best performance, we focus on manufacturing greenhouses that are strong and that will hold up over time and against the abuse of elements such as rain, snow and wind. In addition to using only the highest quality building materials that are available to us, we also make use of the most state-of-the-art manufacturing equipment.

When we design greenhouse structures, our first priority is to ensure the quality of the plant environment. Creating an environment that fosters the growth of plants and protects them from the elements should be the primary function of any greenhouse, after all.

Also very important thing is to make our greenhouses environmentally friendly and power efficient. Despite micro climate control, impact on climate should be minimal.

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Even though system itself is rather complicated, greenhouse with all hardware that will be used should be easy to install for farmers with no technical background, using standard tools.

Success criteria:

Design of greenhouse that is:o Environmentally friendlyo Power efficiento Strong and will hold up over time and against weather elementso Ensuring the quality of the plant environmento Easy to install and maintain

Objective 2: To determine system architecture, to determine hardware (HW) and software (SW) requirements, as well as communication requirements

All the details related to architecture must be determined before the implementation, since different hardware architectures use different software technologies for optimal results. The communications between the modules also varies depending of technology used in their implementation, therefore requiring thorough planning before concrete implementation.

The goal of this objective is to determine optimal HW architecture for every part of the system and determine optimal SW architecture for selected HW modules and determine the ways for the modules to communicate in real time.

Success criteria:

Schematics of HW modules and their architecture. Schematics of network used for communication between the modules. Design of SW implementation.

Objective 3: Design of User Interface and user interaction with system

The user interface is arguably the most important part of this system as it allows the farmers to use the data and derive maximum benefit from this system. Some of the features in the user interface include the spatial view and the chart view.

Users should be able to interact with the smart greenhouse system using a dashboard or using a mobile application.

The web-based dashboard will show real-time graph of current temperature, humidity, soil moisture and luminosity. Greenhouse fan, ventilation windows, overhead lamp, led light and humidifier can also be controlled by the web-based dashboard application.

We will also develop a mobile app, which will have similar functionality as that of the web based dashboard. This application could also be used to interact with the smart greenhouse.

Success criteria:

Design of easy to use user interface Implementation of client side applications

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1.2 Progress beyond the state-of-the-art

Our project is all about saving water, increasing efficiency and reducing the environmental impacts of ornamental plant production practices. We are using wireless sensor networks and environmental modeling to more accurately predict and apply irrigation water in nursery and greenhouse operations.

Relevant references:

1. Jadhav and Shinde, “Web Based Information System for Agriculture”, In International Journal of Innovative Technology and creative engineering, Vol 1, No.2,Feb 2011

2. Robert Jensen, “Information, Efficiency and Welfare in Agricultural Markets”, In the proceedings of the 27thInternational Association of Agricultural Economists Conference, Beijing, China, Aug 16 – 22, 2009, pp 1 – 29.

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1.3 S/T methodology and associated work plan

In order to achieve the overall project objectives, the following items are considered as crucial:

Competent researchers well aware of the state of the art in the research field and able to take the research forward;

State of the art research infrastructure;

Ability to work, communicate and collaborate with researchers from various backgrounds, in various circumstances and environments;

Large network of contacts in the research community;

Public awareness of the benefits of the research in a chosen field and promotion of research results and achievements.

The project is organized in 6 work packages as follows:

WP0 Project management

WP1 Development of system architecture.

WP2 Hardware implementation.

WP3 Software implementation.

WP4 Testing and tuning.

WP5 Releasing the product.

The main body of work is included in four work packages (WP1-WP4). The activities planned in these work packages correspond to the main strands of the project as described above. It is the responsibility of the project management team (WP0) to coordinate these activities to maximize the impact and benefits for everyone involved. Work package WP5 is end of project.

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Figure 1: Gantt Diagram

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Table 1.3a: Template - Work package list

Work package list

Work package

No1

Work package title Type of activity2

Lead particno.3

Lead partic. short name

Person-month

s4

Startmonth5

EndmonthError:

Reference

sourcenot

found

WP0 Project management MGT 1 MATF 24 M1 M12

WP1 Development of system architecture

RTD 1 MATF 30 M1 M3

WP2 Hardware implementation RTD 2 ETF 80 M3 M7

WP3 Software implementation RTD 2 ETF 100 M3 M8

WP4 Testing and tuning RTD 2 ETF 50 M8 M10

WP5 Releasing the product DEM 1 MATF 50 M10 M12

TOTAL 334

1 Workpackage number: WP 0 – WP 5.2 Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium

3 Number of the participant leading the work in this work package.4 The total number of person-months allocated to each work package.5 Measured in months from the project start date (month 1).

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Table 1.3b: Template - Deliverables List

List of Deliverables

Del. no. 6

Deliverable name WP no. Nature7 Dissemi-nation

level8

Delivery date9

(proj.

month)

D0.1

-

D0.12

Monthly reports WP0 R PU M1

-

M12

D1.1 Agriculture algorithm (proof of concept)

WP1 P CO M3

D1.2 Define HW architecture (servers, communication

protocols, etc.)

WP1 P CO M2

D1.3 Define use cases WP1 P CO M2

D2.1 Industrial design of greenhouse

WP2 R PU M2

D2.2 Choosing appropriate non-IT HW (fans, lamps, watering

mechanism)

WP2 P PP M4

D2.3 Implementing HW (servers, microcontrollers, etc.)

WP2 R PP M5

D2.4 Putting together whole HW architecture and testing

WP2 P PP M7

D2.5 Report on implemented HW WP2 R PP M7

D3.1 Database design and implementation

WP3 R CO M4

D3.2 Implementation of server SW and communication

between server and client

WP3 R CO M7

D3.3 Implementation of SW for WP3 R CO M86 Deliverable numbers in order of delivery dates. Please use the numbering convention <WP number>.<number of deliverable within that WP>. For example, deliverable 4.2 would be the second deliverable from work package 4.7 Please indicate the nature of the deliverable using one of the following codes:

R = Report, P = Prototype, D = Demonstrator, O = Other8 Please indicate the dissemination level using one of the following codes:

PU = PublicPP = Restricted to other programme participants (including the Commission Services).RE = Restricted to a group specified by the consortium (including the Commission Services).CO = Confidential, only for members of the consortium (including the Commission Services).

9 Measured in months from the project start date (month 1).

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controlling external devices (sensors, lamps, fans, etc.)

D4.1 Testing SW implementation WP4 R PP M9

D4.2 Testing HW implementation WP4 R PP M9

D4.3 Integration testing WP4 R PP M10

D5.1 List of public appearances for dissemination purposes

WP5 R PU M12

D5.2 List of investor contact and presentation made

WP5 R PU M12

D5.3 List of brainstorming meetings

WP5 R PU M12

D5.4 List of in-house talks and brainstorming meetings

WP5 R PU M12

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Table 1.3c Template - List of milestones

Milestones

Milestone number

Milestone name

Work package(s) involved

Expected date10 Means of verification11

M0.0.1-M0.0.12

Weekly reports

WP0-WP5 M1 Updating other team members about current progress.

M0.1 Managing finances

WP0 M1

M0.2 Selling out project

WP0 M12 Making deal, and selling out project.

M0.3 Shutting down project

WP0 M12 Project is finished.

M1 System architecture

defined

WP1 M3 Architecture specification.

M2 HW implemented

WP2 M7 HW is implemented, documented and tested.

M3 SWimplemented

WP3 M8 SW is implemented, documented and tested.

M4 Testing and tuning both

SW and HW

WP4 M10 Testing of whole system.

M5 Project marketing

WP5 M12 Project marketing.

10 Measured in months from the project start date (month 1).11 Show how you will confirm that the milestone has been attained. Refer to indicators if appropriate. For example: a laboratory prototype completed and running flawlessly; software released and validated by a user group; field survey complete and data quality validated.

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Table 1.3d: Template - Work package description

Work package description

Work package number WP0 Start date or starting event: M1Work package title Project managementActivity type12 MGTParticipant number 1 TotalParticipant short name MATFPerson-months per participant

24 24

Objectives

The objectives of WP0 are the overall management, progress monitoring and stakeholders management of the project. WP0 aims at:

Setting up, operating and maintaining the project administrative and scientific management infrastructure.

Ensuring the overall scientific and technical coordination of the project.

Ensuring collaboration and coordination with relevant government bodies regarding research programmes.

Performing a self-assessment of the project progress.

Conducting progress reviews on end of each month.

Description of work (possibly broken down into tasks) and role of partners

WP Leader: MATF

The Project Manager (PM) will be the permanent responsible person for interface towards the Commission and partners of the Consortium for all administrative, contractual and financial matters and handle the overall management of the project. The duties, methodologies, IPR, conflict resolution and management strategies that will be followed in the project are described in detail elsewhere in this proposal. The project manager will submit all deliverables and reports to the Commission, including contractually obligatory reports (periodic management and activity reports, final management and activity report, audit certificates – not referenced as deliverables), an intermediate project report and the Final Project Report. The project manager will maintain the project plan. The exchange of researchers is a crucial issue, both in the initial phases when final set of use cases and related details have to be created, and later on during the implementation and testing. All these exchange visits have to be carefully planned, and their costs carefully minimized. The purchase of each and every detail needed for the success of this project has to be monitored carefully, to avoid errors from some other past projects in which resources were wasted on non-adequate purchases. Also, all purchases have to be selected so that they are usable and after the project is over, for educational purposes at universities involved.

T0.1 – Final report

The Scientific and technical co-ordination of the project will be under the responsibility of the Scientific and technical manager and under the guidance of the project’s Operational Steering Group (OSG). The S&T manager will maintain the Project handbook which will contain the schedule and scientific content of all project events (workshops, seminars, summer schools, research exchanges). The duties and S&T 12 Please indicate one activity per work package: RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

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management strategies that will be followed in the project are described in detail elsewhere in this proposal.

Deliverables (brief description) and month of delivery

D0.1 - D0.12 - (M1-M12) – Progress reports for every month

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Work package number WP1 Start date or starting event: M1Work package title Development of system architectureActivity type13 RTDParticipant number 1 4 3 TotalParticipant short name MATF SPD UCBPerson-months per participant

5 15 10 30

Objectives

Define system architecture – the conceptual model that defines the structure, behaviour, and more views of a system.

Gather all the research data about optimal conditions for plant growth in different geographical areas.


WP Leader: MATF

MATF role:

T1.1 – Make a formal description and representation of a system, organized in a way that supports reasoning about the structures and behaviours of the system so collaboration between partners is as easy as possible.

SPD role:

T1.2 – Design of greenhouse that is environmentally friendly, power efficient, strong and will hold up over time and against weather elements, ensuring the quality of the plant environment and is easy to install and maintain.

UCB role:

T1.3 – Gather all the research data available and conduct further researches if needed to create database of all data needed for system to function fully.


D1.1 (M3) - Agriculture algorithm (proof of concept)

D1.2 (M2) - Define HW architecture (servers, communication protocols, etc.)

D1.3 (M2) - Define use cases

13 Please indicate one activity per work package: RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

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Work package number WP2 Start date or starting event: M3Work package title Hardware implementationActivity type14 RTDParticipant number 2 4Participant short name ETF SPDPerson-months per participant

50 30

Objectives

The goals of this work package are to determine optimal hardware architecture and devices for every part of the system, design and build prototype of efficient, environmentally friendly greenhouse and test system as a whole (without finished software).


WP Leader: ETF

ETF role:

T2.1 – Communicating with partners for device to control light, heating, fans, etc. and choosing devices that suits our needs the best. Also find environmentally friendly fans, lamps and heaters that are easily maintainable and easy to incorporate in greenhouse design

SPD role:

T2.2 – Design environmentally friendly greenhouse prototype able to handle all devices that are not standard for non-smart greenhouses. It should incorporate irrigation system, electrical installations for heating, fans, lamp, sensors and pumps.

ETF role:

T2.3 – Equip prototype greenhouse with all technology needed and do a basic testing (without finished software). Make adjustments if needed and write down a brief report.


D2.2 (M4) - Choosing appropriate non-IT HW (fans, lamps, watering mechanism)

D2.3 (M5) - Implementing HW (servers, microcontrollers, etc.)

D2.4 (M7) - Putting together whole HW architecture and testing

D2.5 (M7) - Report on implemented HW


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Work package number WP3 Start date or starting event: M3Work package title Software implementationActivity type15 RTDParticipant number 1 2Participant short name MATF ETFPerson-months per participant

60 40

Objectives

The main objective in this work package is to implement the whole software required for running SGEF. That includes database implementation, server and communication protocol implementation as well as software required to control all the sensors and environment control devices. Communication and database should be secured and software light enough to run effortlessly even in conditions with slow connection.


WP Leader: ETF

MATF role:

T3.1 – Design and implement database for storing optimum conditions for each plant and yield differences based on environment conditions

T3.2 – Implement server side software to enable network communications and database access needed for reading optimal parameters as well for storing yield numbers for each SGEF user.

ETF role:

T3.3 – Programing microcontrollers and other IoT devices to automatically check humidity, temperature, soil moisture etc. and to react on changes. Devices should check database on each change and act according to commands received from server.


D3.1 (M4) - Database design and implementation

D3.2 (M7) - Implementation of server SW and communication between server and client

D3.3 (M8) - Implementation of SW for controlling IoT devices (sensors, lamps, fans, etc.)


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Work package number WP4 Start date or starting event: M8Work package title Testing and tuningActivity type16 RTDParticipant number 1 2Participant short name MATF ETFPerson-months per participant

25 25

Objectives

System is fully tested as a whole, if needed, minor adjustments are made to make sure everything is running without glitches or bugs.


WP Leader: ETF

MATF role:

T5.1 – Software is optimized and thoroughly tested.

ETF role:

T5.2 – System is tested as a whole in real life conditions, if needed, minor adjustments are made and system is tested again.


D4.1 (M9) - Testing SW implementation

D4.2 (M9) - Testing HW implementation

D4.3 (M10) - Integration testing


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Work package number WP5 Start date or starting event: M10Work package title Releasing the productActivity type17 DEMParticipant number 1Participant short name MATFPerson-months per participant

50

Objectives

The main goal of this work package is to deliver fully tested system to customers. Also, growth of popularity is essential for further system development.


WP Leader: MATF

T5.1 – Informing the environment via media – It is anticipated that smart farming solutions will be widely applied in the coming years. Based on the project results and experience and taking into account the state of the art in agro automation research and general research interest of each partner, a set of research challenges of public interest will be identified. These challenges will be summarized in a report.T5.2 – Organize public presentations and in field presentations of working system to potential customers and make sure that they understand all the benefits of the system.

T5.3 – Promotional activities - Diverse selected technology focused media events, trade fairs, TV and radio shows and newspaper supplements will be used to promote the project and draw attention to its benefits and potential applications of its relevant technology.


D5.1 (M12) - List of public appearances for dissemination purposes

D5.2 (M12) - List of investor contact and presentation made

D5.3 (M12) - List of brainstorming meetings

D5.4 (M12) - List of in-house talks and brainstorming meetings


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Table 1.3e Summary of effort

Summary of effortA summary of the effort is useful for the evaluators. Please indicate in the table number of person months over the whole duration of the planned work, for each work package by each participant. Identify the work-package leader for each WP by showing the relevant person-month figure in bold.

Partic. no.

Partic. short name

WP0 WP1 WP2 WP3 WP4 WP5 Total person months

1 MATF 24 5 50 60 25 50 2142 ETF 0 0 0 40 25 0 653 UCB 0 10 0 0 0 0 104 SPD 0 15 30 0 0 0 45

Total 24 30 80 100 50 50 334

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Section 2. Implementation

2.1 Management structure and proceduresThe project involves several partners from different countries and intends to provide support for multiple activities involving a number of researchers and students from different organizations. Therefore, coordination and management of the project are of paramount importance. The basic project management approach for the project is to have a scientific coordinator focus on the technology and to have an administrative coordinator handle the overall operational and day-to-day business. A clearly defined project management structure will be set up, including precise management processes and decision rules. This will ensure that the project meets its objectives and delivers the results in time and with high quality, using the following project management structure (Figure 2):

Figure 2: Management Structure

Precise milestones and delivery dates as well as the content of the deliverables are defined in a detailed project plan. Project control will be established, supported by communications tools and a central communications platform. A self-check mechanism for the work package leaders and the researchers/developers will provide an early warning system to identify deviations from the work plan and make it possible to establish contingency or recovery plans.A project management team comprising a senior project manager and a senior researcher as the scientific coordinator will lead the project, making use of state-of-the-art project management techniques. The objective of the day-to-day management is to keep the project always closely aligned with the project plan, reduce the risks associated with project activities and provide support to all partners. Individual effort for administration of the project should stay at a minimum, including the number of meetings necessary to control the project. The project operational steering board will be established to monitor the progress and direction of the project. Each partner will have one board member.

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2.2 Individual participants

Faculty of Mathematics, University of Belgrade, Serbia

Faculty of Mathematics, University of Belgrade, officially exists as independent science and education institution since 1995. but it's roots are much older. Up to present day, it has more than 6000 graduate mathematicians, 400 doctors of mathematics and computer sciences, 700 Masters of Science and many specialists. Numerous graduates occupy various positions in research institutions, government offices, companies and schools in the country and abroad. It is a quality indicator of the studies at the Faculty of Mathematics. It is one of the leading faculties in the country.

Faculty of Electrical Engineering, University of Belgrade, Serbia

The University of Belgrade School of Electrical Engineering also known as Faculty of Electrical Engineering is a constituent body of the University of Belgrade. The word Faculty in Europe stands for an academic institution, the sub-unit inside the University. The first university level lecture in the field of electrical engineering in Serbia was held in 1894. Professor Stevan Marković

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was the first lecturer and founder of Electrical Engineering Chair within the Engineering department of the Belgrade Higher School. In 1898, Marković also founded the first electrical engineering laboratory in Serbia.

UC Berkeley's Department of Agricultural and Resource Economics, California, USA

UC Berkeley's Department of Agricultural and Resource Economics is the world's top-ranked program in agricultural and resource economics. Our faculty are active researchers and work closely with our graduate students, and other students from across the Berkeley campus. Many of our faculty have been elected as fellows of leading professional organizations including the American Academy of Arts and Sciences, American Economic Association, Econometric Society, American Statistical Association, American Agricultural Economics Association, and the Association of Environmental and Resource Economists. Several are affiliates of the National Bureau of Economic Research.

SPD Scuola Politecnica di Design, Italy

SPD Scuola Politecnica di Design is the first postgraduate school for design disciplines in Italy, founded in Milan in 1954. Today, SPD is an international laboratory for exchanging experiences, for developing projects by keeping a balance between function and expression, production and experimentation, thanks to the combination of its Italian roots and a strong international orientation. The young professionals that the school is able to offer to the market and the creative work developed every year are also testimony to this incredibly rewarding dialogue with companies, manufacturers and the various actors along the design chain. The Master’s courses offered

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by SPD are organised in collaboration with IULM University and award academic degree certificates recognised by the Italian Ministry of Education, University and Research MIUR and the relevant credits under the ECTS system.

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2.3 Consortium as a whole An excellent mix of competencies, research interests and approaches is present in the consortium. This versatility and mix of complementary skills combined with the mutual understanding gained in previous collaborations will be utilized to the greatest possible extent to cross fertilize the best practices and increase research potential of everyone involved. The resources needed for research support and management activities are integrated from a variety of academic organizations and a large multinational company.

Research focus and expertise covered by the involved organizations spans the complete problem area covered by this proposal. In addition to that, both academic and industry oriented views of the research problems and challenges and consequently approaches are present in the project which ensures a holistic view of the research domain and is an additional added value of the consortium.

Also, where and when necessary, sub-contracting and engagement of experts will be done. Budget for this comes from the S&T coordinator’s budget.

• Sub-contracting: For the amount of money up to 4% of the value of the project, coordinator institution can sub-contract (from its share) external organization, for implementing any activity for which the whole consortium determines that is mission critical. All subcontracting activities must be approved by the project leader and the entire consortium.

• Expert-engagement: Three external experts from the US will be engaged in the project. These experts are experienced and well-known researchers. They will present the state-of-the-art research in the US, as well as future research directions and will significantly contribute to the overall project objectives.

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2.4 Resources to be committed

Mobilization of resources The resources needed for the project activities are integrated from two academic

organizations, two software development companies and agriculture laboratory partners. The resources profile and the participating partners are complementary in many respects. The project targets both shorter term and longer term activities that will set the basis for sustainable collaboration between the partner organizations and takes great care of particular regional strategic needs. External experts that agreed to take active part in project activities will bring additional expertise into the project and will improve the impact of the project both in terms of the project and its partners’ promotion as well as in more extensive people networking opportunities.

Development team resources Development team consists of highly skilled programmers acquired from two software

development companies and their payment is estimated to E1.250k in accordance to their planned work hours and payment per hour in their respective companies.

Testing equipment resources The resources needed for testing hardware is in the widest sense are difficult to estimate

precisely at this point, and the suggestion is that they be allocated on the level of E350K (and extra money returned, if not used).

Agriculture resourcesDevelopment team consists of researchers acquired by university partners, agriculture partner

and other means (individual experts, external applicants) and their payment is estimated to E150k in accordance to their planned work hours and payment per hour.

Server equipmentSupplied by the hardware development partner an estimate is made to E100k to pay for the

equipment needed for setting up proper means for applying the software.

The total estimated budget for the project is about 1.850.000,00 Euro.

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Section 3. Impact

3.1 Expected impacts listed in the work programmeThe work of this project has a perfect match with the requirements of the Objective for which it was targeted to. The following results are expected from the project and these will serve to create sustainable agriculture in Europe in the future:

To create professional Smart greenhouse system To reduce harmful habits to the environment at the result of the using alternative and

renewable energy sources To save water resources as a result of smart management To make farming much easier for farmers To create knowledge database for optimum conditions for each plant and each type of

environment

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3.2 Dissemination and/or exploitation of project results, and management of intellectual property

Dissemination is grouped into two major groups of activities: internal and external.

The internal activities are targeting researchers from the organizations participating in the project, in particular those coming from the WBC and the EU’s convergence region. A series of project workshops, lectures and exchanges of researchers are planned to address this need. The external activities are what is usually referred to when dissemination is discussed. These activities are targeting research community, general public and industry in order to promote results and achievements of the project.

The following external dissemination channels and activities are planned:

Website and Presentation

Demonstration of new research infrastructure

Summer schools, conferences and publications

Seminars and workshops

Access through media (local TV and radio stations, newspapers)

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Section 4. Ethical Issues

ETHICAL ISSUES TABLE

YES PAGEInformed Consent

Does the proposal involve children? Does the proposal involve patients or persons not

able to give consent? Does the proposal involve adult healthy

volunteers? Does the proposal involve Human Genetic

Material? Does the proposal involve Human biological

samples? Does the proposal involve Human data collection?

Research on Human embryo/foetus Does the proposal involve Human Embryos? Does the proposal involve Human Foetal Tissue /

Cells? Does the proposal involve Human Embryonic

Stem Cells?Privacy

Does the proposal involve processing of genetic information or personal data (eg. health, sexual lifestyle, ethnicity, political opinion, religious or philosophical conviction)

Does the proposal involve tracking the location or observation of people?

Research on Animals Does the proposal involve research on animals? Are those animals transgenic small laboratory

animals? Are those animals transgenic farm animals? Are those animals cloned farm animals? Are those animals non-human primates?

Research Involving Developing Countries Use of local resources (genetic, animal, plant etc) Impact on local community

Dual Use Research having direct military application Research having the potential for terrorist abuse

ICT Implants Does the proposal involve clinical trials of ICT

implants? I CONFIRM THAT NONE OF THE ABOVE ISSUES APPLY TO MY PROPOSAL

YES

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Small or medium-scale focused research projects (STREPs)alas.matf.bg.ac.rs/~mi10164/oupr/SmartGreenhouse-Easy… · Web viewEmerging Internet of Things (IoT) technologies, such