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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