Agriculture Management Information System (AMIS)

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AIMS, Use of AMIS, HIERARCHICAL ARCHITECTURE, Data Collection, Data Transmission (Spatial and Primary source , Non-Spatial sources ), Data Analysis and Process, Feedback and Report Generation

Transcript of Agriculture Management Information System (AMIS)

  • MUHAMMAD MOHSIN (12i-0267) National University of Computer & Emerging Sciences facebook.com/muhammadmohsin786

    AGRICULTURE

    MANAGEMENT

    INFORMATION

    SYSTEM (AMIS) ANALYSIS AND DESIGN

    INTRODUCTION

    MODERN WAYS OF AGRICULTURE

    paved the path for the great opportunities for investors to earn by mean

    of adopting the ways of optimal and effective use of technology with great

    research to improve productivity and quality in little span of time.

    AGRICULTURE MANAGEMENT INFORMATION SYSTEM (AMIS)

    is one of the improved collection of central techniques of great

    importance for managing, interconnecting, information passing, decision

    making and processing the data and information, as an spatial

    information, collects by mean of technologies and employees at different

    level and sections and combining with the external sources, non-spatial

    information, to make decision by keen observing the trends and

    alternates of different events.

    USE OF AMIS

    The use of AMIS is solely depend upon the environment, resources,

    tradition, culture, priorities and compromises. But the essential use of

    this system is employed as follow:

    Uses Purpose

    Environmental and Geographical Changes

    Weather and Climate changes

    Minerals in Soil

    To Define Crop Belts

    To Automatize the Irrigation System

    MODERN

    AGRICULTURE

    Modern agriculture may

    refer to:

    Agribusiness

    Industrial Agriculture

    Intensive Farming

    Organic Farming

    Sustainable Agriculture

    Agribusiness is the business of agricultural production. All agents of the food and fiber value chain and those institutions that influence it are part of the agribusiness system.

    Intensive farming or intensive agriculture also known as industrial agriculture is characterized by a low fallow ratio and higher use of inputs such as capital and labour per unit land area

    Organic agriculture is an ecological production management system that promotes and enhances biodiversity, biological cycles and soil biological activity. It is based on minimal use of off-farm inputs and on management practices that restore, maintain and enhance ecological harmony." [USDA National Organic Standards Board (NOSB)]

    Sustainable agriculture is the act of farming using principles of ecology, the study of relationships between organisms and their environment.

    [Ref:http://en.wikipedia.org/wiki/Modern_agriculture]

  • Mu MUHAMMAD MOHSIN (12i-0267) National University of Computer & Emerging Sciences facebook.com/muhammadmohsin786

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    Amount of Gases (like, N2) in Air

    Moisture in Soil

    To estimate fertilizer and cost

    To maintain organic ratio in soil

    To avoid salinity

    To avoid erosion

    Logistics

    Geo tracking and tagging Timely Delivery Customer Awareness

    Automatic Delivery & Verification

    Daily Reports

    Warehouse and Retail Stores

    Database CRUD of Detail

    Automatic Alerts Storage Capacity

    Redemption

    Alternatives and Solution

    HIERARCHICAL ARCHITECTURE

    As AMIS is a Management Information System (MIS). So, it inherits similar structure of processing in

    the form of layers, which almost present in every MIS. These includes:

    1. Data Collection

    2. Data Transmission

    3. Data Analysis and Process

    4. Feedback and Report Generation

    Data Collection

    Authentic Data is primary source of the system progress. Authentication of data is declared by precision

    and accuracy which depends upon many-many factors in which technology, techniques and technical

    employees are of sole consideration. To maintain authentication, a good data collection system is

    employed. Some of the IoT (Internet of Thing) based technologies are sensors, global positioning

    (GPS), Remote Sensing, Geo-tracking & tagging, Radio Frequency Identification (RFID) and Drone can

    be good solution of this. And, the advanced techniques of Probability & Static can be applied to

    approximate and to minimize error.

    Data Transmission

    Spatial and Primary source are the most authentic sources of information. To collect such

    information, we can make use of networked micro-electronics. They are mostly wirelessly connected to

    nearby processing node which eventually connects it to a central server. Server can be a repository to

    store that particular information or otherwise information forwards by it to any services like cloud.

    Non-Spatial sources are the source of great importance for making judgments of future business,

    globally, in any field likewise, use of Data-Mining Algorithm, can be good technique to transfer data

    from Content Delivery Network (CDN) like of google.

  • Mu MUHAMMAD MOHSIN (12i-0267) National University of Computer & Emerging Sciences facebook.com/muhammadmohsin786

    2

    Data Analysis and Process

    In all MIS, data is analyzes on basis of characteristic of the system to properly categorize it to extract

    information. As, AMIS is solely depends upon the Agricultural data and its characteristic as listed below:

    Spatiality Direct or Close Related Factors

    Complexity Different subdivision on basis of both spatial and non-spatial factors

    Enormousness Factors to increase productivity

    Dynamics Factors effecting crops

    Many Advanced techniques are employed to observe trend and effect to customize behaviors, which is

    the achievement and characteristic of good MIS.

    Feedback and Report Generation

    The output of the result formed by AMIS is of great importance for making special and routine decision.

    Certain routine decision can be automatically controlled by mean of networked system. Report can be

    generated in any statistical form periodically and non-periodically for routine and special decision while

    vital alert can be inform by a message driven system.

    REFERENCES

    Web-Link: http://en.wikipedia.org/wiki/Modern_agriculture (only sidebar)

    Article: Design of Intelligent Agriculture Management Information System Based on IoT

    (Provided Notes)

    DISCLAIMERS

    The Document is entirely my own creativity except few referred piece of information.