Artificial Intelligence (AI) is a program that allows you to perform tasks in real-time situations using cognitive processing as a human mind. Because the program can analyze and adapt real-time situations, no ongoing supervision is required. In the agricultural industry, AI technology is divided into robotics, crop and soil management, and animal husbandry based on application areas.
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Smart or precision agriculture is rapidly emerging as a technology that helps farmers improve their deliveries in agriculture. As AI technology increases, farmers can control and monitor equipment, crops and livestock through smartphones and receive statistical forecasts of crops and livestock.
Artificial Intelligence (AI) in Agriculture Market projected to grow at a CAGR of +22% during forecast period
Artificial Intelligence In Agriculture Market research is an informational report with a great deal of effort to study the right and valuable information. The data we saw was based on both the existing top players and the upcoming competitors.
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Learn more about the key players and business strategies of the new entry market industry. Well-described SWOT analysis, revenue sharing, and contact information are shared in this report analysis.
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Companies Profiled in this report includes, IBM (US), John Deere (US), Microsoft (US), Agribotix (US), The Climate Corporation (US), ec2ce (Spain), Descartes Labs (US), Sky Squirrel Technologies (Canada), Precision Hawk (US), Granular (US), Spensa Technologies (US), Resson (Canada), FarmBot (US), Connecterra (Netherlands), Vision Robotics (US), Autonomous Tractor Corporation (US), Vine Rangers (France), CropX (Israel)
By integrating AI technology in the form of robots, unmanned aerial vehicles, crop management systems, and ranch management tools, farms can increase crop yields and yields and maximize the benefits of farm operations.
The report study begins with a brief market history and then gives a comprehensive market overview. The report talks about the market dynamics – the trends that are shaping the global Artificial Intelligence In Agriculture market.
A detailed analysis of the key market drivers and restraints are presented. In addition to this, an in-depth analysis of the challenges, threats the market faces are covered in this study.
The study delivers an impact analysis of these key trends according to demography.
The growing Artificial Intelligence In Agriculture market is likely to boost the global market substantially over the forthcoming years. Apart from this, the increasing number of driving is projected to add to the growth of this market significantly in the near future.
The worldwide market is analyzed on the basis of the various segments and the geographical reach of this market. How the market's segments are propelling the market in the market scenario is mentioned in this report.
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Reason to Access the Artificial Intelligence In Agriculture Market Research Report:
This report gives a detailed and comprehensive understanding of Artificial Intelligence In Agriculture market. With precise data covering all key aspects of the existing market, this report offers existing data of leading manufacturers.
Understanding of the market condition by compliance of accurate historical data regarding each and every segment for the forecast period is mentioned. Leading factors affecting the growth of the market in a positive and negative perspective is examined and evaluated and projected in the report in detail.
Insightful views and case studies from various industry experts help make the report more authentic.
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Table of Contents
Global Artificial Intelligence In Agriculture Market Research Report 2017
Chapter 1 Artificial Intelligence In Agriculture Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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