Integrated Database for Agricultural Decision Support

Transcription

1 National Ag ricultur e and Food Resear ch Or ganization Integrated Database for Agricultural Decision Support Takuji Kiura*, Kei Tanaka, Tomokazu Yoshida Hiroe Yoshida and Hiroyuki Ohno *kiura@affrc.go.jp National Agricultural Research Center National Agriculture and Food Research Organization Food and Agriculture for the Future

2 Contents Decision Support System for Agriculture Integrated Databases MetBroker Crop Models Agricultural Model Framework Conclusion 2

3 DSSAT Decision Support Systems for Agrotechnology Transfer Developed by the International Benchmark Site Network for Agrotechnology Transfer (IBSNAT) project. Simulates crop growth and its development over time. Simulates soil water, carbon and nitrogen processes and management practices. A framework and plant modules Support quick analysis/optimization of alternative options for decision makers. Includes several plant modules e.g. rice, wheat, maize, potato.. 3

4 Agricultural DSS, India 4

5 Agricultural DSS Data Weather (Observation/Forecast) Field Monitoring (Soil, Water, Crop) Satellite Data Agro Economy etc. Crop Models Rice, Wheat, Maze, Cassava, etc. Solution Varieties, Cropping Systems, etc. 5

6 Integrated Database 6

7 MetBroker heterogeneity among data sources is a big issue in the Internet (structure, access methods, etc.) Data brokers provide consistent access to those heterogeneous data sources Heterogeneous and Autonomous DBs Rice Growth Prediction MetBroker Pesticide Prediction Farm Management A-DB B-DB Meta Data C-DB Heterogeneity is absorbed by brokers (mediators) 7

8 Spatial Integration 8

9 Temporal Integration Meshed Observation Data 1/1 2 days ago GPV yesterday Meshed 30 years average data 7 days after 12/31 9

10 MetBroker Applications 10

11 Data Schema 11

12 Data Schema for Agri. AgroXML AgXML BIX-pp (Bio-Information Exchange for plant production) Data Schema for agricultural field observation data? Farming Data Exchange (FIX) 12

13 FIX Data Stricture 13

14 Sensor Network A Sensor Network B Term A.a Term B.b 1..6Query using each term Field Data Broker 1. FIX Terms 1. Collecting Terms 2. If and only if A.a = B.b, define Term API.c Semantic MediaWiki A.aand B.bare synonyms of API.c API 3. Define API using the namespace API Client Internet 14

15 Crop Model 15

16 Rice Model Phenological development Biomass growth Photosynthesis Yield formation Development Spikelet sterility Sugar (Su) Maintenance respiration Attainable Yield Root Root growth Storage starch accumulation Vegetative tissue growth Vegetative Tissues (V) Storage starch (ST) DVI Differentiation Grain Yield (Y) Translocation Spikelet # Degeneratio n Plant N dynamics Vegetative tissue N (NVT) (leaf N + stem N) Vegetative tissue N accumulation Senescenc e N D Translocatio n Grain N (NY) Recover Expansion Npool accumulation Plant N uptake Soil mineral N N uptake Loss LAI development Grain N accumulatio n Npool (leaf N + stem N) fertilization Spikelet number Grain growth Indigenous supply Root system LAI Senescence Root system development 16

17 DSSAT-Canegro Sugarcane Model 17

18 Agricultural Model Framework 18

19 DDSAT Framework 19

20 Agricultural Model Framework The functions provided by the framework Model Execution Engine Data Structure Weather Generator GUI Components Weather Generator MetBroker Execution Data Parameter (Location Cultivar) Kind of met. data Estimation data Normal year data Weather database Meteorological model Normal year XML file User data CSV file Model Execution Engine (Repetition calculation until conditions are satisfied) Model Calculation Result display, save Result Data DVI, Dry weight (sequential data) Harvest date, Yield (date, value) 2012/3/4 Chart Table Map Download (XML, CSV) 20 20

21 Agricultural Cloud 21

22 Conclusion Creating Integrated Database my be difficult and time consuming work. So virtually integrated databases. But it is still hard work. API, ensure interoperability of data, is required. Crop Models are developing independently and difficult to check their performance. Agricultural Crop Model Framework is required. 22

23 Thank you. DIAS, RECCA, GRENE supported by MEXT Nosyo NAVI supported by MAFF Japan 23

24 APAN AG-WG Asia-Pacific Advanced Network ( Agricultural Working Group Sensor Network Interoperability Weather Data Interoperability Crop Model Interoperability Create Demo Site 24