How big data is used in agriculture?

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Application of Big Data Analytics in Agriculture
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Problem Statement

• Farmers have limited knowledge of current
  technological advancements in agriculture,
  limiting production.
• Consultants to guide Farmers limited, in remote
  areas.
• Agricultural products are tried in a test
  environment ONLY, constraining usability.

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Business Solution

• A Mobile and Web-based IoT Application can solve
  the above problems by providing an Organized
  crop-planning and process management platform
• It enables farmers to analyze crop health in
  real-time. With secure messaging channel between
  consultants and farmers, help is readily
  available to farmers, thereby reducing damage to
  the crops.
• It also allows Consultants to reach out to as
  many farmers as possible.

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Business Solution

• The Big data in Agriculture thus collected from
  such interactions regarding crops, weather,
  terrain, geographic conditions, water and more is
  stored and processed. This leads to the analytics
  part of our solution. By processing this data,
  the application will be able to assist
• Agriculture companies regarding the prospective
  success of products in different markets
• Farmers about the success of various crops, the
  predictive impact of natural conditions, etc.
• Consultants will learn more about the most
  affected geographic areas where farmers could be
  assisted to deliver higher productivity.

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Technology Solution

• Such a Web Application server can be developed
  using Golang and an android application using
  React Native. Hadoop Platform stores Big Data and
  deep learning/Machine learning allow the platform
  to provide
• Predictive Analytics To predict the success of a
  product or crop or predict ill effects of a
  natural event on crops.
• Historical Data Analysis Process vast volumes of
  historical data regarding crops, geography, etc.
• Real-Time Analytics To provide Farmers with
  real-time assistance by analyzing information
  provided by them in real time.

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Business Benefit

• Increased Agricultural Productivity through
  Agriculture Data
• Greater success of Fertilizing Products across a
  variety of geographic conditions for Agriculture
  Companies.
• Avoid ill effects of a particular natural
  occurrence.

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