Convergence of Artificial Intelligence (AI) and Agriculture
Published on: 11-Apr-2016 | SKU: MX00078-EU-MR_17737

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The world population will grow from 7.3 billion people today to 8.2 billion by 2025, and 9.7 billion by 2050. As a society, we will need to produce 70% more food than is currently produced today. The agricultural Industry requires a revolution and artificial intelligence is that revolution. Artificial intelligence will drive five use cases that will enable the industry to balance the need to produce more food and the need to reduce environmental impact. Through precision agriculture, agricultural drones, vertical farming, driverless tractors, and open data, artificial intelligence will require all companies to become technology companies.

Investment in Artificial Intelligence Start-ups

Investment in Artificial Intelligence Start-ups (continued)

Machine Learning is Changing Everything

3 Types of AI

Machine Learning has 5 Main Approaches

Connectionist Approach is Most Dominant Today

Different Applications Require Different Algorithms

Exponential Growth of Computing

Open Source Revolution

Society Must Produce More Food for Increasing Population

Use Case 1—Precision Agriculture

Use Case 2—Agricultural Drones

Use Case 3—Vertical Farming

Use Case 4—Driverless Tractors

Use Case 5—Open Data

Future of the Organisation—Artificial Intelligence and Blockchain

Future of the Organisation—Artificial Intelligence and Blockchain (continued)

Key Messages for the Agricultural Industry

Legal Disclaimer

The Frost & Sullivan Story

Value Proposition: Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy


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The world population will grow from 7.3 billion people today to 8.2 billion by 2025, and 9.7 billion by 2050. As a society, we will need to produce 70% more food than is currently produced today. The agricultural Industry requires a revolution and artificial intelligence is that revolution. Artificial intelligence will drive five use cases that will enable the industry to balance the need to produce more food and the need to reduce environmental impact. Through precision agriculture, agricultural drones, vertical farming, driverless tractors, and open data, artificial intelligence will require all companies to become technology companies.
More Information
Deliverable Type Market Research
No Index No
Podcast No
Author Lawrence Lundy
Industries Information Technology
WIP Number 9AC0-00-33-00-00
Is Prebook No

Convergence of Artificial Intelligence (AI) and Agriculture

Information TechnologyConvergence of Artificial Intelligence (AI) and Agriculture

Move to Balance Spiraling Food Needs with Minimized Environmental Impact Gains Momentum with Precision Agriculture, Agricultural Drones, Vertical Farming and, Driverless Tractors

RELEASE DATE
11-Apr-2016
REGION
Europe
Deliverable Type
Market Research
Research Code: 9AC0-00-33-00-00
SKU: MX00078-EU-MR_17737
AvailableYesPDF Download
$1,500.00
In stock
SKU
MX00078-EU-MR_17737