FROM THEORETICAL-ORIENTED TO PRACTICAL EDUCATION IN ...
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FROM THEORETICAL-ORIENTED TO PRACTICAL EDUCATION IN AGRARIAN STUDIES (TOPAS)
EC-Erasmus + project no. 585603-EPP-1-2017-1-DE-EPPKA2-CBHE-JP
Draft, March 17, 2019
Proceedings of the TOPAS workshop on farm data collection Feb.14 - 25, 2019 at
Kuratorium für Technik und Bauwesen in der Landwirtschaft (KTBL), Darmstadt, Germany, and
University of Applied Sciences Weihenstephan-Triesdorf (HSWT)
Rapporteurs: Kateryna Tuzhyk (on KTBL), Heinz-Peter Wolff (on HSWT)
Table of Contents
1 Kuratorium für Technik und Bauwesen in der Landwirtschaft (KTBL) ................................................. 2
2 University of Applied Sciences Weihenstephan-Triesdorf (HSWT) ...................................................... 6
3 List of participants: ............................................................................................................................. 11
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1 Kuratorium für Technik und Bauwesen in der Landwirtschaft (KTBL)
Programme:
Time Topic
Thursday, Feb. 14, 2019
1 10:00 Arrival at KTBL
2 10:15-10:45 Welcome and introduction of participants and TOPAS (for KTBL colleagues), introduction of schedule
3 10:45-11:30 Presentation: Introduction of KTBL
4 11:30-12.00 Presentation: Introduction of GODAN project
5 12:00-13:00 Lunch break
6 13:00-13:45 Presentation: Where do KTBL data come from?
7 13:45-14:30 Presentation of the results from own data collection, discussion of challenges
8 14:30-14:45 Coffee break
9 14:45-15:30 Group discussion: How should data collection be organized within TOPAS?
10 15:30-16:30 Presentation of the results from group discussions and conclusion of the day
Friday, Feb. 15, 2019
11 09:00-10:00 Exercise: Machinery costs at KTBL - how to use MaKost
12 10:00-10:15 Questions and Discussion
13 10:15-10:30 Coffee break
14 10:30-11:15 Presentation: Repair costs at KTBL
15 11:15-11:45 Questions and Discussion
16 12:00-12:45 Lunch break
17 12:45-14:15 Poster presentation: how do you calculate machinery costs in your countries?
18 14:15-14:30 Coffee break
19 14:30-15:30 Group discussion: Machinery costs in TOPAS - how should we move forward?
20 15:30-15:45 Conclusion of the workshop
21 16:00-16:15 Organizational issues
22 16:15 End of workshop
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Day 1, Thursday, 14th of February 2019
10:00 Arrival at KTBL
10:15 - 10:45 Introduction of KTBL and its structure by Dr. U. Klöble (90 employees at KTBL. They
have projects that are related to practical needs. Approximately 400 members from
external partners (farmers, lawyers, academic staff and other specialist)).
Complete presentation: KTBL_general.pdf, section "Training on farm data" on the
Moodle platform
11:30 - 12:00 Introduction of GODAN Project by Foteini Zampati (Global Open Data for Agriculture
and Nutrition has 815 partners around the world. Was presented on G8 in 2012.
There were discussed fallowing issues: The data collection methods; IP rights of Data;
Ownership of the data)
Complete presentation: KTBL_legal_issues.pdf, section "Training on farm data" on
the Moodle platform
13:45 – 14:30 Presentation of the results from own data collection; Discussion of challenges (the
participants from each university were presenting the information of machinery cost
calculation - see attached excel file_ Machinery Cost. Major universities couldn't
answer following questions because of lack of data on the farm: How often is the
replacement of this spare part necessary? How much do these spare parts cost?
What kind of further maintenance is necessary? What parts or products are needed
for maintenance? How much do the necessary products for maintenance cost? How
often is that done? How much time is needed for one maintenance?
Complete presentation: KTBL_data_sources_structures.pdf, section "Training on farm
data" on the Moodle platform
14:45 – 15:30 Group discussion: How should data collection being organized within TOPAS:
The pictures below present the summarizing of the challenges of Data Collection within the TOPAS
project and how to deal with these challenges:
`
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In sum, there are clattered answers from three different groups of workshop:
Day 2, Friday, 15th of February 2019
9:00 – 10:00 Exercise: Machinery cost at KTBL – how to use MaKost by Katharina Krön (the
participants were familiarized with machinery calculation on KTBL online base. There
will be Russian version of data on KTBL homepage and it will become possible to use
in teaching process and disseminate the link through the farmers in foreign countries.
During the workshop how to use Makost have come up with idea to update to post
soviet union countries (e.g. Ukraine)).
10:30 – 11:15 Repair costs at KTBL by Jacob Steitz (presented the results of data collection and
estimation of the variable costs of machinery. KTBL is practical oriented. And they test
typical machinery to get the data for cost calculation.)
Complete presentation: KTBL_repair_costs.pdf, section "Training on farm data" on
the Moodle platform
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12:45 – 14:15 Poster presentation: How do you calculate machinery costs in your countries? (Poster
presentation shows the differences advantages and disadvantages between the
different methods of the partner countries:
Uzbekistan – there are two types of agriculture support from the government. All production of
cotton and wheat is ordered, supported and controlled by the government. All other agricultural
production in Uzbekistan is controlled by the farmers. Costs for registration and customs clearance
are included in the machinery cost.
Armenia – the feature of agriculture is scarcity of land. Farms still use old machinery and equipment
from 1987 – 1998. This problem does not allow for an adequate and reliable calculation.
Ukraine – the required legislative documents for machinery calculation are complicated and far from
practical. These documents provide the guide for bookkeeping of machinery costs, but doesn’t allow
to identify fixed and variable machinery costs in an easy way.
14:30 – 15:30 Group discussion: Machinery costs in TOPAS – how should we move forward
(Questions discussed:
Which advantages and disadvantages do you see when comparing the different methods?
Should we standardize that way of calculation of machinery costs within our project? What are the
pros and cons here?
The participants were divided by two groups, which discussed the problems mentioned above in the
fishbowl format. The major advantage is the fundamental approach, i.e. one methodology for all
countries. One of the most important disadvantages is ‘’two lives’’ of farmers that means there are
two process of accounting and accordingly the machinery costs calculations because of the legislative
regulation in each country. Different type of farms through the different countries. However, each
team agreed to the needs for standardizing the way of machinery cost calculation within the project.
15:30 – 15:45 Prof. Ralf Schlauderer (legislative is very important. We should be aware about how
to deal with anonymity of data. Repair costs is a difficult issue. We do not have a
really good approach to achieve that. Each university should think about how to deal
with repair costs. It might be PhD topic. We should cooperate, and discuss and
support each other.
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2 University of Applied Sciences Weihenstephan-Triesdorf (HSWT)
Programme:
Time Topic
Saturday, Feb. 16, 2019
1 08.45-18.00 Transfer to HSWT Triesdorf via Würzburg, city tour in Würzburg
Sunday, Feb. 17, 2019
2 08.45-18.00 Introductory tour on regional landscapes and related farming systems, city tour Rothenburg
Monday, Feb. 18, 2019
3 09:00-12:00 Welcome at HSWT, preparatory steps of farm data collections
4 13:00-17:00 Preparation of on-the-spot farm data collection
Tuesday, Feb. 19, 2019
5 09:00-12:00 Exemplary on-the spot-farm data collection at farm Schindler, Bavaria
6 13:00-17:00 MOOC preparation with Uzbek partners, translation and preparation of collected data for calculations on winter wheat production by Ukrainian and Armenian partners
Wednesday, Feb. 20, 2019
7 09:00-12:00 Production economics, example calculations on winter wheat
8 13:00-17:00 MOOC preparation with Armenian partners, translation and preparation of collected data for calculations on silage maize production by Uzbek and Ukrainian partners
Thursday, Feb. 21, 2019
9 09:00-12:00 Production economics, example calculations on silage maize
10 13:00-17:00 MOOC preparation with Ukrainian partners, translation and preparation of collected data for calculations on dairy cow production by Uzbek and Armenian partners
Friday, Feb. 22, 2019
11 09:00-12:00 Production economics, example calculations on dairy cows
12 13:00-17:00 Improvement of MOOC with Uzbek partners, translation of examples from production economics for MOOCs in local language by Ukrainian and Armenian partners
Saturday, Feb. 23, 2019
13 09:00-18:00 Cultural program, city tour Nuremberg
(continued)
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(continued)
Sunday, Feb. 24, 2019
14 09:00-12:00 Data management, technical issues: Data base structures and storage
15 13:00-17:00 Data management: Data base documentation, communication plans, local responsibilities
Monday, Feb. 25, 2019
16 09:00-12:00 Data handling: Missing values and outliers
17 13:00-17:00 Wrap up: Final translations MOOC, questions on data management
Tuesday, Feb. 26, 2019
Departure of participants
The following description of the courses provide the table of contents of the individual modules and
indicate the location of the files that contain the complete presentations and data in the web sources
of TOPAS:
Monday, Feb. 18: Preparatory steps of farm data collections:
Data storage
Toolbox for calculations
Toolbox for data collection
Planning of data collection procedures
Psychology and reliability in data collection processes
The narrative: quantitative and qualitative information
Reverse process: Creation of databases
Complete presentation: PrepDataCollection.pptx, section "Training on farm data" on the Moodle
platform, also available on the TOPAS web-page at: https://erasmus-
topas.eu/images/files/FarmDataAnalysis.pptx and https://erasmus-
topas.eu/images/files/PrepDataCollection.pdf
Monday, Feb. 18: Preparation of on-the-spot farm data collection, topics:
Role of interviews with farmers
Competence of farmer and sources of information in the specific case
Questionnaires for structured interviews
interview guidelines with regard to data demand of partial calculations
Complete presentation: FarmDataAnalysis.pptx, section "Training on farm data" on the Moodle
platform, also available on the TOPAS web-page at: https://erasmus-
topas.eu/images/files/FarmDataAnalysis.pptx
Tuesday, Feb. 19: Exemplary farm data collection (morning), MOOC recording and farm data analysis
(afternoon), topics:
visit at farm enterprise Schindler, data collection on winter wheat, silo maize and dairy cows
by participants
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recording of MOOC element by Uzbek partners
analysis of obtained farm data by Armenian and Ukrainian participants
MOOC element available at HSWT
Wednesday, Feb. 20: Training in financial calculations (morning), MOOC recording and farm data
analysis (afternoon), topics:
partial cost calculations (gross margin), example winter wheat
recording of MOOC element by Armenian partners
analysis of obtained farm data by Uzbek and Ukrainian participants
Complete presentation: HSWT_market_crops.xlsx; section "Training on farm data" on the
Moodle platform, MOOC element available at HSWT
Thursday, Feb. 21: Training in financial calculations (morning), MOOC recording and farm data
analysis (afternoon), topics:
calculation of machinery costs, partial cost calculations (gross margin) on silo maize
recording of MOOC element by Ukrainian partners
analysis of obtained farm data by Uzbek and Ukrainian participants
Complete presentation: HSWT_machinery_cost-Calculation.xlsx; HSWT_farm-machinery.xls;
HSWT_silage-maize.xlsx; HSWT_forage_crops.xls, section "Training on farm data" on the Moodle
platform, MOOC element available at HSWT
Friday, Feb. 22: Training in financial calculations (morning), MOOC recording and farm data analysis
(afternoon), topics:
partial cost calculations (gross margin) on diary cows
editing and improvement of MOOC record by Uzbek, Ukrainian and Armenian partners
Complete presentation: HSWT_dairy_cow.xls; HSWT_dairy_cow_2.xlsx, section "Training on
farm data" on the Moodle platform, MOOC elements available at HSWT
Saturday, Feb. 23: Cultural programme, guided tour in Nuremberg
Sunday, Feb. 24: Data management, topics:
Data base structures and storage
Data base documentation, communication plans, local responsibilities
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The team from Yerevan State University will prepare a guideline/handbook on options,
advantages and disadvantages of different approaches to central data storage and handling on
the level of the partner HEIs.
The partner HEIs will assess capacities and competences for the potential development of the
"students' app" at their faculties. The alternative would be the use of standard spreadsheets,
provided that the availability of the adequate software on local standard smartphones may be
assumed.
Proposed structure of local responsibilities at partner HEIs:
The proposed structure serves as the baseline for final decisions by the TOPAS Steering
Committee during the next meeting (Armenian National Agricultural University, end of April
2019).
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Complete presentation: DBManagement.ppt, section "Training on farm data" on the Moodle
platform, also available on the TOPAS web-page at: https://erasmus-
topas.eu/images/files/DB_Management.pdf
Monday, Feb. 25: Data handling, topics:
Missing values and outliers
Recommendations for further readings:
Data sampling plans:
Susan Lohr (2010) Sampling Design and Analysis, 2nd edition, Brooks/Cole Publishing,
Pacific Grove
William G. Cochran (1977) Sampling Techniques, 3rd edition, John Wiley & Sons, NY
Database development:
Oracle guidelines (https://docs.oracle.com/database/121/ADFNS/adfns_part_fund.htm)
Open University handbook
(https://www.open.edu/openlearn/ocw/mod/oucontent/view.php?printable=1&id=2786)
Data problems:
Little R.; Rubin D. (1987) Statistical analysis with missing data. John Wiley & Sons, NY
Tukey J.W. (1977) Exploratory Data Analysis, Addison-Wesley Publishing Company,
Reading
Complete presentation: DBManagement.ppt, section "Training on farm data" on the Moodle
platform, also available on the TOPAS web-page at: https://erasmus-
topas.eu/images/files/DB_Management.pdf
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3 List of participants:
Affiliation and names Attendance KTBL
Attendance HSWT
Andijan Agricultural Institute (AAI, Uzbekistan)
Murotov Qudrat x x
Tuychiyev Abduraxmon x x
Armenian National Agrarian University (ANAU, Armenia)
Narine Gasparyan (specialist of international master programme “Agricultural management”, lecturer in bi-lingual study courses on sustainable energy economics)
x x
Arman Tonikyan (PhD lecturer at the chair of Finances and Accounting, Faculty of Economics and Agrobusiness)
x x
Samarkand Veterinary medicine Institute (SamVMI, Uzbekistan)
Mardonow Mamed (Lecturer of department of Agroeconomics and Accounting)
x x
Yuldashev Sherzod (Lecturer of department of Agroeconomics and Accounting)
x x
Sumy National Agrarian University (SNAU, Ukraine)
Associate Prof. Dr. Oleh Pasko (Vice-Dean for research, Faculty of economics and management, associate professor of Audit Department)
x x
Associate Prof., Dr. Inna Koblianska (Associate professor of Department of Economic)
x x
National University of Life and Environmental Sciences (NULES, Ukraine)
Dr. Kateryna Tuzhyk (Vice-Dean of International Activities of Faculty of Information Technologies, associate professor of cybernetic economic, Senior specialist of Training Department)
x x
Assos. Professor, Dr. Vitalii Radko (associate professor of Department of Entrepreneurship and Agrobusiness Organization)
x x
Yerevan State University (YSU, Armenia)
Prof. Dr. Aram Karapetyan (Department of Mathematical modeling in Economics)
x x
Dr. Nairuhi Jrbashyan (Associate Professor of Department of Mathematical modeling in Economics)
x x
University of Applied Sciences Weihenstephan-Triesdorf (HSWT, Germany)
Prof. Dr. Dr. h.c. mult. Ralf Konrad Schlauderer (Dean, Faculty of Agriculture, project coordination)
x x
Dr. Heinz-Peter Wolff (scientific staff, project coordination) x
Dr. Aram Aristakesyan (scientific staff, section International Master in Agribusiness)
X
Kuratorium für Technik und Bauwesen in der Landwirtschaft (KTBL, Darmstadt, Germany)
Dr. sc. agr. Ulrike Klöble (Deputy Chief Executive, Team Leader Economics and Organic Farming)
x
Katharina Krön (Team Economics & Organic Farming) x
Oksana Bukhovets (Team Economics & Organic Farming) x
Foteini Zampati x
Jacob Steitz x