Utilization of Geospatial Technologies in Agricultural Information Management System

Introduction:- Farming, the backbone of indian interests, money, goods, gives for common purpose to the overall of money and goods growth of the country and comes to a decision about the quality example of living for more than 50% of the indian population.

Agriculture gives for common purpose only about 14% to the overall level at which a country produces value but its force of meeting blow is felt in the making part as well as the services part as the country, not town population 1 has become an important user of goods and services in the last grouped in 2 of tens of years. Geospatial is the only solution of this problem.

Geospatial Technologies:- There are different details and definitions of geospatial technologies in the written works and the net. Geospatial technologies have three parts, the first of which is GIS.geospatial-technologies-in-farming The  Geospatial knowledge Authority of Japan (chief government offices of Land, infrastructure, Transport and journeying) has a very complete definition for this technology: GIS is a technology that supports the got mixed together business managers and processing, seeing display, not simple observations, and quick put value of facts having in it location-dependent knowledge (spatial knowledge for computers) based on geographic position. The second part is the instruments to make ready the facts for this technology, such as satellite images, maps, and complete positioning systems. The  third and final part is the applications that are undergone growth on these  parts, and which make clear to relation between facts in the placing measure that would not be clear if the knowledge for computers were managed in old and wise forms and sizes, such as alphabetically, in not based on rules groups, or in business account-book form and size. Some examples of these applications are facility/asset business managers systems, power for a given time and/or water distribution network copies made to scale, and farming news given business managers systems. It is possible to increase the number of these applications 5, but this thing will chief place on these ones.

                       Problems faced by the Agriculture Sector

Fragmented land holding:- Nearly 80% of the 140 million farming families place in ship for goods less than 2 acres of land. greatly sized land properties make able the farmer to give effect to of-the-day farming techniquesfragmented-land-holding and push up amount produced. Small land properties keep inside limits the farmer to use old and wise methods of farming and limit amount produced. As land properties are small  ,more people at all times work on the farms in the country, not town areas and joined with the old technology, farm incomes comedown.

watering system problems:- Most of the farming in India is monsoon  dependent if monsoons  are good, the complete interests, money, goods (and not just the farming part) is upbeat and when the monsoon 1 becomes feeble, everyone every-where takes a do well with to some size, range, degree. The hard question here is of right business managers of water or the feeble amount of it. watering system which gets used up more than 80% of the Total water use in the country needs a right go over if the country has to get well farming output and push up the overall interests, money, goods.
water-system-problems

The same general rule puts to use in the farming part as in other parts. Farmers have to increase their efficiency while dropping their operating gives idea of price. however, there is another measure in farming which is the conditions of weighting that fertilizers make over-great use of on farming fields. The is farming news given business managers system provides different instruments not only to value the best yearly produce time, do medical operation the farming machines efficiently, and make the most out of the farming work, but also to produce answers and/or opinion for farmers on how to use fertilizers  or farming chemicals. The is leads to more efficient farm experience as well as less weighting on the general condition.

in addition, when it comes to farming experiences, another very important point of view is the safety and safety of the food. recording, listing and recording all fertilizers 1 and chemicals used in the fi eld makes it possible for third parties to looking over of accounts by expert these records for the safety and level of being ready for working of the the years produce and the Although this system provides a wide range of GIS.

tools for more efficient and environmentally conscious agricultural practices, there is another aspect that the authors would like to emphasize in this chapter: the utilization of satellite imagery. We can  use DigitalGlobe*satellite imagery, which provides the world’s highest resolution commercial satellite images, to Japanese and Asian customers since 2001. For this reason, accumulated a depth of know-how relating to satellite imagery and its use in different fields and sectors. Applying this know-how to the agriculture sector yielded an important application: planning the harvesting sequence of wheat. agriculture-information-systemThe harvest time for wheat depends on its dryness. Traditionally, the dryness level is decided manually at the time of harvest by the farmers. However, there can be differences in wheat dryness even within the same field, and this usually leads to harvesting some of the wheat before it is dry enough, which means a lower quality crop. By using the satellite image analysis function of the agricultural information system to analyze wheat fields and ascertain the growth in each field so that harvesting can be did in the order in which each field dries out, great copies of smaller size were made in powering material, substance oil use for drying. The is also cut CO2  emissions 3 like an actor in a play and helped to keep from quality loss as less chemicals were used to dry the seed crushed into meal . This application provides a very good example of grouping new thing putting to use geospatial technologies in the farming and farming part.

Conclusion:- The end users of precision farming solutions include not only the growers but also farm managers, users of back office IT systems. Not to be forgotten is the role of the veterinary in un-derstanding animal health. Also to be considered are farmers co-operatives, which can help smaller farmers with advice and funding.

The cost of smart farming is still high for any but the largest farms. Farm offices now collect vast quantities of information from crop yields, soil-mapping, fertiliser applications, weather data, machinery, and animal health; these are all factors that influence farming such as soils, nutrition and weather.

Everyday farming applications are starting to move into the cloud, with the aim of delivering benefits in terms of data access, synchronisation, storage and even cost to the farmer. The rising use of smartphones and tablets on farms means that apps can be used to cache data offline until it can be synchronised; data need no longer be tied to a single computer in a single location.

Partnerships are vital to the value chain, since not even the largest suppliers can fulfil all the needs of the customer by themselves and must cooperate to achieve this.

References:- :- http://www.hitachi.com/businesses/innovation/about/index.htmPeuquet, D. J. (1984). A Conceptual Framework and Comparison of Spatial Data Models.

 Image Courtsey-www.google.com

Peuquet, D. J. (1999). Time in GIS and Geographical Databases. In: Longley PA, Goodchild

M.F., Maguire D.J., Rhind D.W. (eds) Geographical Information Systems: Principles and

Technical Issues. Wiley, New York, Vol. 1, pp. 91–103.

Peuquet, D. J., Marble, D. F. (eds) Introductory Readings in Geographical Information

Systems. Taylor and Francis, London, pp. 209–14.

Peuquet, D. J., (1981). An Examination of Techniques for Reformatting Digital Cartographic

Data, Part II: The Vector-to-raster Process, Cartographica 18:21–33.

Peuquet, D.J. (1991). Methods for Structuring Digital Cartographic Data in a Personal

Computer Environment. In Geographic Information Systems: The Microcomputer and

Modern Cartography by Taylor, D.R.F. (ed.), Pergamon Press, Oxford.

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