D5.4.1 Training materials

This project is partially funded under the ICT Policy Support Programme (ICT PSP) as part of the Competitiveness and Innovation Framework Programme by the European Commission under grant agreement no. 621074

COMPETITIVINESS AND INNOVATION

FRAMEWORK PROGRAMME

CIP-ICT-PSP-2013-7 Pilot Type B

WP5 – Pilot preparation, execution and evaluation

D5.4.1 Training materials

Deliverable Lead: WRLS

Deliverable due date: 28/02/2015

Actual submission date: 31/03/2015

Version: 1.0

D5.4.1 Training Materials

http://www.foodie-project.eu Copyright © FOODIE Project Consortium. All Rights Reserved. Grant Agreement No.: 621074 Page:2 / 39

Document Control Page

Title D5.4.1 Training Materials

Creator Karel Charvat (WRLS)

Description

This document describes the Training materials, which is currently available on FOODIE Moodle platform. On the base of Training plan, initial scenarios focused on methods used in sustainable agriculture were prepared. Special lectures were established in order to stimulate demands of stakeholders for new tools and methods of using on-line open data for agriculture production, context and sharing data in on line repositories. There were prepared first set of scenarios, focused on good agriculture practices and also first material focused on data fusion. The Training Material for FOODIE has following parts:

Introduction – a general four-step process been modified for each pilot. These four steps include: building the initial scenarios, vision building workshops, testing of initial scenarios, and user requirements collection workshops.

Chapters for training - the first material for methods used in sustainable agriculture was already prepared by project partners. There are two categories: Methods of Farm Management and Software Components and Tools of Farm Management.

Conclusion defining next steps - initial Training materials have been created. Training related to tools will be organized in later stage. Vision building workshops will be organized during Months 13 – 14.

Publisher FOODIE Consortium

Contributors

Karel Charvat, Karel Charvat Jr., Sarka Horakova (WRLS) Jarmila Mekotova (MJM) Ismael Suárez Cerezo, Antonio Manuel Campos Lopez (SERESCO) Javier Rodríguez Escolar (CTIC) Burcu.Yamak (NETCAD) Simona Mincione (ENCO) Silvia Druml, Walter Mayer, Bernhard Aigner (PROGIS) Miguel Angel Esbrí (ATOS) Raul Palma (PSNC)

Creation date 02/01/2015

Type Text

Language en-GB

Rights copyright “FOODIE Consortium”

Audience internal public restricted

Review status

Draft WP leader accepted Technical Manager accepted Coordinator accepted

Action requested

to be revised by Partners for approval by the WP leader for approval by the Technical Committee for approval by the Project Coordinator

Requested deadline



STATEMENT FOR OPEN DOCUMENTS

(c) 2015 FOODIE Consortium

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THIS DOCUMENT IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. EXCEPT WHAT SET FORTH BY MANDATORY PROVISIONS OF LAW IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DOCUMENT, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

About the project

FOODIE project aims at creating a platform hub on the cloud where spatial and non-spatial data related to agricultural sector is available for agri-food stakeholders groups and interoperable. It will offer: an infrastructure for the building of an interacting and collaborative network; the integration of existing open datasets related to agriculture; data publication and data linking of external agriculture data sources, providing specific and high-value applications and services for the support of planning and decision-making processes.

FOODIE project is addressed to four basic groups of users: a) stakeholders from the agriculture sector as end-users of final applications, b) public sector for communication with farmers about taxation, subsidies and regulation, c) researchers for large scale experimentation on real data and d) ICT companies for the development of new applications for agriculture and food sector, mainly using implemented tools

FOODIE specifically works on three pilots:

Pilot 1: Precision Viticulture (Spain) will focus on the appropriate management of the inherent variability of crops,

Pilot 2: Open Data for Strategic and Tactical Planning (Czech Republic) will focus on improving future management of agricultural companies (farms) by introducing new tools and management methods,

Pilot 3: Technology allows integration of logistics via service providers and farm management including traceability (Germany).

Contact information

Miguel Angel Esbrí

Project Coordinator

Atos Spain, Madrid, Spain

E-mail: [email protected]

URL: http://www.foodie-project.eu

Twitter: https://twitter.com/FOODIE_Project

http://www.foodie-project.eu/

mailto:[email protected]


https://twitter.com/FOODIE_Project



Table of Contents

Glossary .............................................................................................................................................................................. 7

Abbreviations and Acronyms .............................................................................................................................................. 8

Executive Summary ............................................................................................................................................................ 9

1 Introduction .............................................................................................................................................................. 10

2 Chapters for training ................................................................................................................................................. 11

2.1 Methods of farm management ........................................................................................................................ 11

2.1.1 Production methods ................................................................................................................................. 11

2.1.2 Management methods ............................................................................................................................. 21

2.2 Software components and Tools of Farm Management .................................................................................. 34

3 Conclusions ............................................................................................................................................................... 38

References ........................................................................................................................................................................ 39



Index of Figures

Figure 1: Lecture – SP – TT1. SUSTAINABLE PRODUCTION - PROGIS................................................................................ 12

Figure 2: SP – TT1. SUSTAINABLE PRODUCTION Content ................................................................................................. 12

Figure 3: SP – TT1. SUSTAINABLE PRODUCTION Introduction ......................................................................................... 13

Figure 4: SP – TT1. SUSTAINABLE PRODUCTION Sustainability and sustainable production ........................................... 13

Figure 5: SP – TT1. SUSTAINABLE PRODUCTION History .................................................................................................. 14

Figure 6: Lecture – PF – TT1. Precision Farming - MJM .................................................................................................... 14

Figure 7: Lecture – PF – TT1. Precision Farming - Contents ............................................................................................. 15

Figure 8: Lecture – PF – TT1. Precision Farming - Introduction ........................................................................................ 15

Figure 9: Lecture – PF – TT1. Precision Farming - Purpose ............................................................................................... 16

Figure 10: Lecture – PF – TT1. Precision Farming - Scheme ............................................................................................. 16

Figure 11: Lecture – PV – TT0. Presentation – Training of Precision Viticulture .............................................................. 17

Figure 12: Lecture – PV – TT0. Presentation – Contents .................................................................................................. 17

Figure 13: PV – TT0. Presentation – Introduction ............................................................................................................. 18

Figure 14: PV – TT0. Presentation – Expected results ...................................................................................................... 18

Figure 15: PV – TT0. Presentation – Training Topics ........................................................................................................ 19

Figure 16: Lecture PV – TT1. Precision Viticulture - SERESCO .......................................................................................... 19

Figure 17: Lecture PV – TT1. Precision Viticulture - Contents .......................................................................................... 20

Figure 18: Lecture PV – TT1. Precision Viticulture - Introduction ..................................................................................... 20

Figure 19: Lecture PV – TT1. Precision Viticulture – Introduction II ................................................................................. 21

Figure 20: Lecture – PV – TT1. Precision Viticulture - Introduction III .............................................................................. 21

Figure 21: Lecture – KM – TT1. Knowledge Management - WRLS ................................................................................... 22

Figure 22: Lecture – KM – TT1. Knowledge Management - Contents .............................................................................. 22

Figure 23: Lecture – KM – TT1. Knowledge Management - Objectives ............................................................................ 23

Figure 24: Lecture – KM – TT1. Knowledge Management - Farm potential ..................................................................... 23

Figure 25: Lecture – KM – TT1. Knowledge Management - Changes in Agriculture ........................................................ 24

Figure 26: Lecture – LO – TT1. LOGISTICS File - PROGIS ................................................................................................... 24

Figure 27: Lecture – LO – TT1. LOGISTICS File - Content .................................................................................................. 25

Figure 28: Lecture – LO – TT1. LOGISTICS File - Introduction ........................................................................................... 25

Figure 29: Lecture – LO – TT1. LOGISTICS File - 4 Times W .............................................................................................. 26

Figure 30: Lecture – LO – TT1. LOGISTICS File - Requirements ......................................................................................... 26

Figure 31: Lecture – LO – TT1. Tactical Planning - WRLS .................................................................................................. 27

Figure 32: Lecture – LO – TT1. Tactical Planning - Contents ............................................................................................. 27

Figure 33: Lecture – LO – TT1. Tactical Planning - Introduction ....................................................................................... 28

Figure 34: Lecture – LO – TT1. Tactical Planning - Scenario background......................................................................... 28



Figure 35: Lecture – LO – TT1. Tactical Planning - Trends ................................................................................................ 29

Figure 36: Lecture – AI – TT1. Agrometeorogical Information - ENCO ............................................................................. 30

Figure 37: Lecture – AI – TT1. Agrometeorogical Information - Contents ........................................................................ 30

Figure 38: Lecture – AI – TT1. Agrometeorogical Information - Introduction .................................................................. 30

Figure 39: Lecture – AI – TT1. Agrometeorogical Information - Purpose ......................................................................... 31

Figure 40: Lecture – AI – TT1. Agrometeorogical Information - Weather and climate stand .......................................... 31

Figure 41: Lecture – MA – TT1. Market Analysis - ENCO .................................................................................................. 32

Figure 42: Lecture – MA – TT1. Market Analysis - Contents ............................................................................................. 32

Figure 43: Lecture – MA – TT1. Market Analysis - Introduction ....................................................................................... 33

Figure 44: Lecture – MA – TT1. Market Analysis - Introduction II ................................................................................... 33

Figure 45: Lecture – MA – TT1. Market Analysis - Purpose .............................................................................................. 34

Figure 46: Lecture – DF – TT1. Data Fusion - NETCAD ...................................................................................................... 35

Figure 47: Lecture – DF – TT1. Data Fusion - Contents ..................................................................................................... 35

Figure 48: Lecture – DF – TT1. Data Fusion - Introduction ............................................................................................... 36

Figure 49: Lecture – DF – TT1. Data Fusion - Introduction II ............................................................................................ 36

Figure 50: Lecture – DF – TT1. Data Fusion - Image level data fusion .............................................................................. 37

Index of Tables

Table 1: Abbreviations and Acronyms ................................................................................................................................ 8



Glossary

The glossary of terms used in this deliverable can be found in the public document “FOODIE_Glossary.pdf” available at: http://www.foodie-project.eu




Abbreviations and Acronyms

Abbreviation / Acronym

Description

ICT Information and communications technology

MOODLE Modular Object-Oriented Dynamic Learning Environment

FMM Farm management

PV Precision Viticulture

VRA Variable Rate Application

Table 1: Abbreviations and Acronyms



Executive Summary

According to the D5.3 Training plan [1], there were prepared sets of initial educational materials. To stimulate de-mands of stakeholders for new tools and methods of using on line open data for agriculture production, context and sharing data in on line repositories, there were prepared first set of scenarios, focused on good agriculture practices and also first material focused on data fusion. This gave to stakeholders a better overview about new possible tools and it will stimulate new requirements. The scenarios for every workshop will be focused in two directions: improving farm management methods and new software tools.

The materials are currently available on FOODIE Moodle platform [2], which was installed as part of FOODIE infra-structure.



1 Introduction

The training methodology for the FOODIE project is an adaptation of methodologies successfully used in previous pro-jects Metaschool [3] and Naturnet plus [4]. The methodology is focused on the needs of the core groups of stakehold-ers, on building a close contact with them and gaining feedback on the user requirements surveys. In order to achieve the maximum impact from our initial interaction and consultations with the stakeholders, we propose a general four-step process, which has been modified for each pilot. These four steps include: building the initial scenarios, vision building workshops, testing of initial scenarios, and user requirements collection workshops. This process will run in parallel with the implementation of the FOODIE service platform. The first part of the training will be mainly focused on training of the trainers (in English). These trainers will then provide training to other stakeholders.

This document is focused on initial stage of training, preparation of platform and first lections. In the initial stage, MOODLE [5] on the supercomputer hub in Poznan was implemented. On the base of Training plan Initial scenarios fo-cused on methods used in sustainable agriculture was prepared. In the first period, the material will be now used for training trainers about these subjects. In the next period, Vision building workshop will be prepared on the base of the materials.

According to Training plan the MOODLE educational platform was installed on supercomputer hub in Poznan. FOODIE Moodle Platform is already available on the Internet: http://foodie-vm3.man.poznan.pl/moodle/

Two users have been created in order to allow all of you to log in and evaluate the current organization of the courses: foodie-teacher/foodieTeacher-15; foodie-pupil/foodiePupil-15. There are no differences for the moment in their roles.

http://foodie-vm3.man.poznan.pl/moodle/



2 Chapters for training

The first material for methods used in sustainable agriculture was already prepared by project partners. There are two categories: Methods of Farm Management and Software Components and Tools of Farm Management. The list of training materials includes:

Sustainable production (PROGIS)

Precision farming (MJM)

Precision viticulture (SERESCO)

Knowledge management (WRLS)

Logistic (PROGIS)

Tactical planning (WRLS)

Agrometeorological information (ENCO)

Market analysis (ENCO)

Data fusion (NETCAD)

Small examples of training materials are showed in this document. Some of the courses are divided in modules. Access to courses is through this link

http://foodie-vm3.man.poznan.pl/moodle/ username: foodie-pupil password: foodiePupil-15

2.1 Methods of farm management

2.1.1 Production methods

The materials are focused on good practices of agriculture production and sustainable productions.

2.1.1.1 Sustainable production (PROGIS) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=26. The materials explain principles of sustainable agriculture as base for long time sustainability of production and environment.


http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=26



Figure 1: Lecture – SP – TT1. SUSTAINABLE PRODUCTION - PROGIS

Figure 2: SP – TT1. SUSTAINABLE PRODUCTION Content



Figure 3: SP – TT1. SUSTAINABLE PRODUCTION Introduction

Figure 4: SP – TT1. SUSTAINABLE PRODUCTION Sustainability and sustainable production



Figure 5: SP – TT1. SUSTAINABLE PRODUCTION History

2.1.1.2 Precision farming (MJM) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=26. The materials explain principles of precision agriculture and benefit from this.

Figure 6: Lecture – PF – TT1. Precision Farming - MJM




Figure 7: Lecture – PF – TT1. Precision Farming - Contents

Figure 8: Lecture – PF – TT1. Precision Farming - Introduction



Figure 9: Lecture – PF – TT1. Precision Farming - Purpose

Figure 10: Lecture – PF – TT1. Precision Farming - Scheme

2.1.1.3 Precision Viticulture (SERESCO)

PV – TT0: The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=26. The materials introduce Precision viticulture and main points of training (training objectives, methodology, topics




and goals).

Figure 11: Lecture – PV – TT0. Presentation – Training of Precision Viticulture

Figure 12: Lecture – PV – TT0. Presentation – Contents



Figure 13: PV – TT0. Presentation – Introduction

Figure 14: PV – TT0. Presentation – Expected results



Figure 15: PV – TT0. Presentation – Training Topics

PV – TT1: Introduction to Precision Farming: Concepts and Management. The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=26. The materials explain principles of precision viticulture and benefit from this.

Figure 16: Lecture PV – TT1. Precision Viticulture - SERESCO




Figure 17: Lecture PV – TT1. Precision Viticulture - Contents

Figure 18: Lecture PV – TT1. Precision Viticulture - Introduction



Figure 19: Lecture PV – TT1. Precision Viticulture – Introduction II

Figure 20: Lecture – PV – TT1. Precision Viticulture - Introduction III

2.1.2 Management methods

These lectures explain generic principles of usage of IT based management method, related with pilots.



2.1.2.1 Knowledge management (WRLS) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=27. The material explain what is knowledge management on farm level and its importance

Figure 21: Lecture – KM – TT1. Knowledge Management - WRLS

Figure 22: Lecture – KM – TT1. Knowledge Management - Contents




Figure 23: Lecture – KM – TT1. Knowledge Management - Objectives

Figure 24: Lecture – KM – TT1. Knowledge Management - Farm potential



Figure 25: Lecture – KM – TT1. Knowledge Management - Changes in Agriculture

2.1.2.2 Logistic (PROGIS) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=27. The material explain what is logistic on farm level and its importance

Figure 26: Lecture – LO – TT1. LOGISTICS File - PROGIS




Figure 27: Lecture – LO – TT1. LOGISTICS File - Content

Figure 28: Lecture – LO – TT1. LOGISTICS File - Introduction



Figure 29: Lecture – LO – TT1. LOGISTICS File - 4 Times W

Figure 30: Lecture – LO – TT1. LOGISTICS File - Requirements

2.1.2.3 Tactical planning (WRLS) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=27. The materials ex-plain what is Tactical planning on farm level and its importance




Figure 31: Lecture – LO – TT1. Tactical Planning - WRLS

Figure 32: Lecture – LO – TT1. Tactical Planning - Contents



Figure 33: Lecture – LO – TT1. Tactical Planning - Introduction

Figure 34: Lecture – LO – TT1. Tactical Planning - Scenario background



Figure 35: Lecture – LO – TT1. Tactical Planning - Trends

2.1.2.4 Agrometeorological information (ENCO) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=9. The materials explain why agrometeorological information are important for farm and hot they could be managed on farm level




Figure 36: Lecture – AI – TT1. Agrometeorogical Information - ENCO

Figure 37: Lecture – AI – TT1. Agrometeorogical Information - Contents

Figure 38: Lecture – AI – TT1. Agrometeorogical Information - Introduction



Figure 39: Lecture – AI – TT1. Agrometeorogical Information - Purpose

Figure 40:41 Lecture – AI – TT1. Agrometeorogical Information - Weather and climate stand

2.1.2.5 Market analysis (ENCO) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=6. The material explain how to provide market analysis on farm, and what it could bring to farms




Figure 42: Lecture – MA – TT1. Market Analysis - ENCO

Figure 43: Lecture – MA – TT1. Market Analysis - Contents



Figure 44: Lecture – MA – TT1. Market Analysis - Introduction

Figure 45: Lecture – MA – TT1. Market Analysis - Introduction II



Figure 46: Lecture – MA – TT1. Market Analysis - Purpose

2.2 Software components and Tools of Farm Management

These lectures are planned for next period. Here were prepared in advance one lecture.

2.2.1.1 Data fusion (NETCAD) The materials are available on http://foodie-vm3.man.poznan.pl/moodle/course/view.php?id=10. The materials ex-plain what data fusion is and why it is important for agriculture.




Figure 46:47 Lecture – DF – TT1. Data Fusion - NETCAD

Figure 48: Lecture – DF – TT1. Data Fusion - Contents



Figure 49: Lecture – DF – TT1. Data Fusion - Introduction

Figure 50: Lecture – DF – TT1. Data Fusion - Introduction II



Figure 51: Lecture – DF – TT1. Data Fusion - Image level data fusion



3 Conclusions

This document present the list of initial training materials for methods used in sustainable agriculture, which was al-ready prepared. Training related to tools will be organized in later stage, after their deployment In first stage focus will be on training of trainers (project partners or potential advanced users), who will be able in later stages transferred their experience towards other users.

Vision building workshops will be organized during Months 13 – 14. There will be one central workshop for potential trainers from the side of project partners. Materials and tools will be presented by responsible partners. The Vision building workshop will be organized together with project meeting.



References

[1] Karel Charvat at all. D5.3 Training plan v 1.1., FOODIE project, 28/11/2014 [2] http://foodie-vm3.man.poznan.pl/moodle/ [3] Charvat, K., Vohnout, P., Krivanek, Z., Charvatova, A., Janecka, K. and Koskova, I., 2010. Metaschool. cz-towards

teacher competencies with Web 2.0. In IST-Africa, 2010, pp. 1-6. IEEE. Available at <http://www.researchgate.net/publication/234026041_Metaschool.cz_-Towards_Teacher_Competencies_with_Web_2.0>

[4] Charvat, K. at all, 2010. The recommendation for NaturNet Plus, report from Computer Assisted Education for En-vironment Protection NaturNet Plus, The recommendation for NaturNet Plus 1/12 CZ/09/LLP - LdV/TOI/134009 Praha March 2010. Available at <http://www.adam-eu-rope.eu/prj/7105/prj/WP1_The_recommendation_for_NaturNet_Plus.pdf><http://www.naturnet.cz/images/archive/8/8f/20100823110036!WP1_The_recommendation_for_NaturNet_Plus.pdf>

[5] Moodle - Wikipedia. Available from <http://en.wikipedia.org/wiki/Moodle>
