analytics assignment - research on fruition science
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IIIT B – Analytics Assignment 1Submitted by – Aditya Dashora
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+About Fruition Sciences
Founded in California in 2007
Offers “Web bases analytics solution” for vineyards and winemakers to:
Optimize the quality of the grapes using informed decision making Identify the appropriate quantity and opportunity to irrigate Uses combination of bio-sensors coupled with wireless access points to
capture the “Data” which is processed by Cloud based Analytics engine
“Internet of Things (IoT) but for agriculture” – Forbs
Gaining tremendous popularity because of innovative thinking and strong word of mouth
A brief description about company’s business
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+Business Problem Opportunity
Traditional methods of irrigating vineyards were less predictable
There was lot of water consumption to grow the grapes and therefore it used to cost a lot of money to vineyards
During the draught situation earlier last year, vineyard owners were asked to reduce water consumption by law enforcement agencies
It could potentially impact the USD 61Bn wine industry
A revolutionary idea that is changing the wine industry
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+Analytics did the magic
To know how vineyard is transpiring and responding to the weather, bio-sensors were installed. These bio-sensors started generating tremendous amount of data and sending it to analytics servers on real time basis using wireless network
Data was structured and organized on the servers for further processing
Applied descriptive analytics techniques on the massive data generated by bio-sensors to analyze the behavior of plants towards the changing weather and the amount of water plant releases through leaves
Analysis of weather data to understand the weather’s pressure on plants
Designed predictive model to identify plant water deficit and health of the plant
Created a web-based decision platform (accessible via any device) for farmers to view vineyards health and required corrective actions
Futuristic Approach: Combining Internet of things and Analytics
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+Analytics ideas for farmers
Using big data and analytics techniques, a relationship can be established between global supply chain of agricultural products, the patterns and demands from consumer food industry (fast food or packaged food) and agricultural data of various grains, fruits, vegetables etc.
Farmers should be able to predict the global demand and produce the product accordingly. Farmers from countries like India can enter into global business
Food waste can be reduced by supplying excessive food to other counties
Global price control of agricultural products by better alignment between demand and supply
“Walmart” has done some work in these lines to some extent
Supply chain + food industry + agricultural analytics