50GB Data Processed Annually
%% Increase Crop Production
0 Consultants
KK Growers

Application of big data analytics in agriculture

Solution at a Glance

The solution is a web and Mobile based IoT Application that can solve Agricultural problems by providing an Organized crop-planning and process management platform.

Value Added

The Solution Increases Agricultural Productivity leading to greater success of Fertilising Products across variety of geographic conditions and avoid ill effects of natural occurrences.

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Client Overview

Application of Big Data in Agriculture has great scope as Precision Agriculture is heavily dependent on data. Farm productivity can greatly improve through insights such as success rate of fertilizers in a particular terrain. Agriculture Data could be data about the success of a specific crop in a given geographical climate. Such information can be particularly of interest to farmers, Agricultural companies, and Agriculture consultants. However, information exchange is rather limited for all these parties due to the following problems:

  • Many Farmers have limited knowledge of Agriculture Data and methodologies of farming. Due to this agricultural productivity remains limited.
  • Consultants to guide Farmers regarding new technology and Agriculture Analytics are limited especially in remote areas.
  • Agriculture Companies producing fertilizers and other agricultural products resort to physical testing before they launch the products. The results from such tests are not very reliable since the trials take place in a specific environment and do not take into account other types of geographical conditions.

Business Solution

At Gowitek we have developed a Mobile and Web-based data science Application that can solve the above problems by providing an Organized crop-planning and process management platform:

1. It enables farmers to analyze crop yield and health in real-time. With secure messaging channel between consultants and farmers, help is readily available to farmers, thereby reducing damage to the crops.

2. It also allows Consultants to reach out to as many farmers as possible.

3. 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:

A. Agriculture industry regarding prospective success of products in different markets.

B. Farmers about success of different crops, predictive impact of natural conditions, etc.

React Native Hadoop Platform stores Big Data and deep learning/Machine learning allow the platform to provide following insights.

 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 data-driven real-time assistance by analyzing information provided by solution in real time.

Golang

Hadoop Hdfs

Apache Spark

Google Cloud

Hadoop Hive

Sqoop