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pre agro - Management system for
site specific crop production
- to increase the profitability of agriculture and
to enhance the benefits for the environment -
Information flow for site specific management
of winter wheat according pre agro
site characterization
soil, relief, water, climatic conditions
deriving yield potential
general planning of crop management
crop species, variety, quality-goals
verification
of measures
specific planning of
crop stand management
harvest
sowing
herbicides
actual
situation of the crop stand
N3
plant growth regulators
fungicides
N1
N2
Intentions of the German joint R+D-project
pre agro for site specific crop management
Goals:
acquiring of soil science, crop growing, business management, and
ecological fundamentals of site-specific measures in crop production
developing of algorithms, modules, and software taking into account site-specific and environmental quality-goals in:
 soil cultivation
 seeding
 fertilizing (N, P, K, organic fertilizer)
crop protection
Basic research concept of pre agro for developing
management systems in precision agriculture
Management of
Information
software for farms, contractors:
site specific crop management with soil tillage, N, P,
K-fertilization, herbicides, crop growth regulators,
fungicides
Practical farming
application and testing of
concepts,.algorithms, rules and software
Ecology
nature conservation,
regional matter flows (nutrients),
local nitrate leaching
Economy
site
farm structure
farm type
management of the project
Remote Sensing
aerial photographs,
NIR-video pictures,
Multi-spectral scanning
Yield potentials
Yield mapping, maps of
yield potentials, soil water
buffer capacity
Geo-factors
Farm-soil-maps,
relief,
soil water buffer
Research sites from pre agro on farms in Germany
(about 50 fields with almost 3.000 ha under direct scientific observation)
Thumby

Kassow

Twülpstedt
Raesfeld


Baasdorf

Zeilitzheim
Raguhn


Landshut
Timing pattern of subsequent fields on farms in pre
agro where management rules for winter wheat in
precision agriculture are applied and verified
2000
2001
2002
?
?
WW
?
?
WW
WW
?
?
WW
WW
WW
WW =winter-wheat
? =crop species according to crop rotation on the farm
Examples of research activities and data collection in
the project pre agro on farms in Germany
- additional experiments (fertilisation strategies N, P, K, lime) -
driving tracs
general fertilisation (P, K, lime)
1. none
2.official recommendation (LUFA)
(averaging soil and uptake values)
3. official recommendation (LUFA)
(soil nutrient content values and yield)
4. fertilisation according previous uptake
(replacing just the crops uptake)
N - fertlisation
N - fertilisation: felxible
(mit Sensor)
N - fertilisation: constant
combination
Examples of research activities and data collection in
the project pre agro on farms in Germany
- aerial photographs -
Examples of research activities and data collection in
the project pre agro on farms in Germany
- Electromagnetic Soil Mapping System (ECa) -
Examples of research activities and data collection in
the project pre agro on farms in Germany
-landscape, terrain or elevation models –
Examples of research activities and data collection in
the project pre agro on farms in Germany
- near infrared video-photography -
Examples of research activities and data collection in
the project pre agro on farms in Germany
- yield mapping -
Cumulative probabilities for yield of winter wheat for soil
profiles of an arable field at Baasdorf (30 years: 1967-97)
100
90
[of achieving higher yields]
cumulative frequecy (%)
80
70
60
50
40
soil profile 1 (360 mm): 8.4 t/ha
soil profile 2 (324 mm): 8.1 t/ha
soil profile 3 (288 mm): 8.1 t/ha
soil profile 4 (252 mm): 7.9 t/ha
soil profile 5 (216 mm): 7.5 t/ha
soil profile 6 (180 mm): 6,4 t/ha
soil profile 7 (144 mm): 5.5 t/ha
soil profile 8 ( 90 mm): 5.3 t/ha
30
20
10
0
0.0
2.0
4.0
6.0
grain yield (t/ha)
8.0
10.0
12.0
Examples of research activities and data collection in
the project pre agro on farms in Germany
- algorithms to derive management measures: P-, K-fertilisation -
yield map
P-content
algorithm for decision support
in P-fertilisation
Berieb:
Petersberger Agrarvereinigung
Schlag:
Abatassina
P
Vorfrucht: WW
68.5 dt/ha
Kultur:
WG
70 dt/ha
Boden:
sL (BG3)
Dünger
Kieserit
27%MgO
org.Düng.: Strohd.
40 dt/ha
MiGü zur VF25m³
P2O5
0.64
K2O
1.64
MgO
0.48
Formel:
Erläuterung:
P[0,3.1]:(([Ertrag]*1.1)+(114.5-(18.468*([P]))))-13
P[3.1,5.6]:(([Ertrag]*1.1)+(128.24-(22.9*([P]))))-13
1.1 EF WG
P[5.6,8.1]:(([Ertrag]*1.1)+(41.037-(7.328*([P]))))-13
P[8.1,12]:(([Ertrag]*1.1)+(41.037-(7.328*([P]))))-13
13 org.Düngung
P[12,99]:0
1.1 EF WG
P[99,max.]:([Ertrag]*1.1)-13
application-map
Examples of research activities and data collection in
the project pre agro on farms in Germany
- decision support modules for prec ag software Decision support system for sowing of winter-wheat (pre agro)
best sowing time: 15.09- 25.09
region / state
actual sowing date
best date
sowing depth
normal (3-5 cm)
soil-seed-contact
good
yield correction 0 dt/ha
CLOSE
Rainfall750 mm/ a
Potential yield of the field 81 dt
Average
of the soil value
/ha
number:
49
time of field emergence
< = 10 days
previous crop
variety
Alidos E
soil moisture at sowing date
middle
germinability90 %
REPORT
legume
seed-bed quality
good
thousand kernel weight 50 g
CALCULATE
Examples of research activities and data collection in
the project pre agro on farms in Germany
- application – maps (diff. sowing rate for corn) -
Examples of research activities and data collection in
the project pre agro on farms in Germany
- regional modelling the impact of prec. ag. onto matter flow -
Examples of research activities and data collection in
the project pre agro on farms in Germany
- economic feasibility costs for soil sampling
differentiated P-/K-fertilisation
according soil information
site differentiated nitrogenfertiliser application
yield mapping
information base
gross margins of sub-units
scenario-studies: farm income = f(constraints)
Examples of research activities and data collection in
the project pre agro on farms in Germany
- transborder-farming (virtual land consolidation) -
Contents of the pre agro, German joint
R-D-project for site specific management

 Practical testing
o data collection and application of management rules
o technical equipment on the farms
 Site analysis
o collecting minimum data sets
o characterising site
 Management of information
o development and verification of algorithms and rules
o software for precision agriculture
 Impact analysis
o effects of precision agriculture onto economy and ecology
 Project co-ordination
o general co-ordination
o public relations
o project information system with the project data base
Sample screen of selection menus from premis,
the internal project information system of pre agro
General characteristics of the German joint
R+D project pre agro for site specific crop
management
Funded by:
Federal ministry of education and research (BMBF), Bonn
(total costs: 10  106$; 6  106$ as grant from BMBF)
Term:
4 years: Jan 1, 1999 - Dec 31, 2002
Co-ordination:
Centre for Agricultural Landscape and Land Use Research
(ZALF) in Müncheberg, Germany
Sub-projects:
22
Farms:
8 agriculturally important regions in Germany
16 farms
about 50 fields with 3.00 ha under scientific observation
Project Partners: total:
with:
others:
17
3 private service + software companies
1 company from industry
science and research (universities, research centres)
Project partners in pre agro, German joint
R-D-project for site specific management
• Agri Con GmbH, Jahna
• AGROCOM GmbH + Co Agrarsystem KG,
Bielefeld
• AGRO-SAT GmbH, Baasdorf
• Federal Agricultural Research Institute
(FAL), Braunschweig
 Institute for Operation Technology
• German Agricultural Association (DLG)
 Discipline Rural Technology, testing position for agricultural machinery
• geo-konzept GmbH, Adelschlag
• Institute for Agricultural Technology Potsdam
Bornim
 Agricultural Cultivation Technology Division
• Kuratorium for Technology and Construction
in Agriculture (KTBL), Darmstadt
• Technical University of Munich, FreisingWeihenstephan
 Institute for Rural Technology
•
•
•
•
•
 Teaching position for crop sustenance
University of Hohenheim
 Institute for Instructions in Agricultural Operations
University of Kiel
 Institute for Soil Science and Plant Sustenance
 Center for Ecology
University of Marburg
 Disciplines: Biology, Nature Conservation
University of Rostock
 Institute for Geodesy and Geological Computerscience
Center for Agricultural Landscape and Land
Use Research (ZALF)
 Institute for Land Use Systems and Landscape Ecology
 Institute for Landscape System Analysis
visit us:
www.preagro.de
Interdisciplinary, joint research project in
Germany on precision agriculture
supported by the German Ministry of
Education and Research, Bonn
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