|
|
|
Overview |
Crop Production |
Crop Pattern |
Crop Yield |
Irrigation |
Soil Management | Precision Farming |
Relevant Products |
Relevant Links
Integrated National Agricultural Resources Information System (INARIS)
Research database
This database will cover information about all the research projects carried out in the entire National Agriculture Research System (NARS) which includes all the ICAR institutes related to research in crop sciences, animal sciences, Fisheries etc.
State Agriculture Universities (SAUs), regional stations, Project Directorates, National Research Centers (NRCs), National Bureaux, All India
Coordinated Research Projects (AICRP)and network of Krishi Vigyan Kendras (KVKs) etc. This database will include both the completed and ongoing projects. Various fields covered in this database will be Title of the project, location, objectives, year of start and end along with silent findings and funding agency.
Technology Database
All the major technologies and management practices developed for growing various crops, managing water and soil resources, management practices adopted for rearing livestock, fisheries etc. will be included in this database. The database will also include the preventive measures which should be adopted incase of any pest and diseases attack on crops, information regarding soil and climate suitable for various crops, their nutritional requirements etc.
Statistics Database
This database will provide information on different agricultural statistics like area, yield and production of various crops, plantation crops like cashew, coconut, tea coffee etc., important fruit crops and spices. This will also include commodities like milk, meat, eggs, wool, and fish production. This database will be covering data regarding import, export, consumption and prices of important agricultural commodities.
Major Data Sources
The major sources from which the data for developing various databases will be obtained are the Census records from population census, agricultural census and livestock census, administrative records, financial records, institutional libraries, computer networks, reports of sample surveys conducted at national/state/district level, remote sensing satellites and other publications. Spatial data in the form of digitized maps of administrative units like state, district, tehsil/block/mandal and other biophysical maps will be used for GIS database.
Methodology
The information system will consist of several integrated sub-systems for input, storage, retrieval, analysis and output based on strong database design with its essential functions. Besides this it will include other functions such as manipulation and dissemination of information to various users. The information system, composed of set of files for use in a RDBMS and GIS will be capable of delivering accurate, useful and timely information to various applications. Design of spatial and non-spatial database will have specifications of different data fields, their logical array and inter-relationship with subsystem database.
Process Flow within the CDW
There are four major processes that take place within the CDW. These processes are Extraction and loading of data, Cleaning and transforming the data into a form that can cope with large data volumes and provide good query performance, Back up and archive data and Query management.
Data extraction will take data from source systems and make it available to the CDW while data load will take extracted data and loads it into the CDW. Data in operational system is be held in a form suitable for that system and whenever data is extracted from the physical database, the original information content will have to be modified and extended over the years in order to support the data/ performance requirement of the operational system. Before loading the data into the CDW, this information system will be reconstructed. The data from different sources needs consistency checks, which will be executed whereever required.
The process of cleaning and transforming data in CDW cleans and transform the loaded data into such a structure which helps in making efficient querying. The data is then partitioned in order to speed up queries. This optimizes the hardware performance and simplifies the management of the CDW. Further aggregations are created to speed up the common queries. Once the data will be cleaned, then the next task will be taken up within the cleaned-and-transformed process to convert the source data in the temporary data and store it into a structure that is designed to balance query performance and operational cost.
Backup and archive data implies that the data within the CDW will be backed up regularly in order to ensure that the CDW can always recover the data if there is loss or software failure or hardware failure. In archiving, older data will be removed from the system in a format that allows it to be quickly restored if and when required.
The query management process is a system process that manages the query and speeds them up by directing the queries to the most effective data source. This process will ensure that all the system sources are used in the most effective way, usually by scheduling and execution of queries. The query management process will be required to monitor the actual query profiles. This information will be used by the CDW to determine which aggregation to generate. CDW that contains summary data will provide a number of distinct data sources to respond to a specific query. These will be the detailed information itself, and any number of aggregations that satisfy the query information needs.
Conclusion
Thus the development of CDW under Integrated National Agricultural Resources Information System (INARIS) project will improve the quality of research and planning, reduce the duplication of research efforts, encourage dissemination of research findings, facilitate qualitative research supported by agricultural databases. Besides this it will help in the development of Decision Support Systems (DSSs) which in turn can be used as effective tools for agricultural research and education planning. Further, it will also help in developing effective linkages with other national and international organizations in sustainable development.
|
|
|