Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.
Artificial Intelligence in Agriculture market estimated to grow at a CAGR of +22% during forecast period
This market report offers a comprehensive analysis of the Global Artificial Intelligence in Agriculture market. This report focused on market past and present growth globally. Furthermore, each section in this report includes expert insights that will help to address the problem areas experienced in supply chain issues. To make the report easy to understand, the study features graphics, charts, and infographics.
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Companies Profiled in this report includes, Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular, Raven Industries
The general term, AgriTech, represents the use of technology in agriculture, horticulture, and aquaculture for purposes of improving yield, efficiency, and profitability. The Artificial Intelligence in Agriculture represents a more specific use of technology wherein agricultural planning and operations becomes connected in ways previously impossible if it were not for advances in sensors, communications, data analytics and other areas.
Artificial intelligence expert system for livestock is another factor driving the Global artificial intelligence market in agriculture. The system providing information about dairy cattle improvement, medications, health and welfare of livestock has gained interest of cattle owners in the recent past.
Analysis of Artificial Intelligence in Agriculture market and its upcoming growth prospects is been mentioned with maximum precision. This study includes an elaborative summary of market which also includes snapshots that offer depth of information of various other segmentations. Through qualitative and quantitative analysis of key factors which are responsible for boosting or hampering the market growth and the promising opportunities in Artificial Intelligence in Agriculture market have been provide.
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Reason to Access the Artificial Intelligence in Agriculture Market Research Report:
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. A detailed evaluation of the key trends that are shaping these regional markets is mentioned in the research study. Region-wise market size, revenue share, volume share, forecasts are covered in the report. Furthermore, the top revenue-generating companies dominating these regional markets are described in the report.
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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 Artificial Intelligence in Agriculture Market Forecast