Artificial Intelligence in Agriculture Market Analysis and Forecast to 2023
Qurate Business Intelligence Adds “Artificial Intelligence in Agriculture Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2023” To Its Research Database
(EMAILWIRE.COM, November 30, 2018 ) Artificial Intelligence in Agriculture Market over the next eight years (2015-2025) and acts as a vital point of reference for operators or suppliers.Growing implementation of advanced technologies (such as computer vision, machine learning and predictive analysis) & applications in agricultural field which allows the farmers to analyze real-time data of temperature, weather conditions plant health, and soil moisture. Rising adoption of advanced technologies for enhancing the crop productivity is expected to drive the industry growth.
Global Artificial Intelligence in Agriculture Market is valued at USD 431.6 million in 2015 and growing at a CAGR of over 22% between 2017 and 2025.
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Key players: Overview of market leaders in AI in Agriculture market by top manufacturers/players, with AI in Agriculture revenue (Million USD) and market share for each manufacturer/player; the top players including Iteris Inc., Trimble Inc., John Deere, AGCO Corporation, Agworld Pty. Ltd, Hortau’s Irrigation Management Service, Grownetics Agriculture Services, Raven Industries, Pycno, and Service Corporation International.
Rising adoption of precision agriculture & smart sensors will also influence the market positively. Smart sensors are placed across the farms to support precision agriculture procedure via data provided by the control systems and generate conversant decisions in fertilizing, harvesting, & planting. Moreover, the sensors measure various climatic & soil aspects including humidity and temperature which forwards information to the control system.
Increasing application of computer vision technology such as plant image recognition, and the cumulative demand for healthier crop analyses are the significant factors subsidizing the segment growth. Also, drone analytics application is projected to witness substantial growth owing to the wide-ranging application for real-time decisions along with mapping & diagnosing crop health. Pleasing government regulations for drones’ application in agricultural sector is expected to fuel the growth.
Enquiry before buying: https://www.qurateresearch.com/report/enquiry/AR/QBI-XPR-AR-55940
The report includes -
Segmentation: On the basis of technology, this report displays the revenue, market share and growth rate of each type, primarily split into
• Predictive Analysis
• Computer Vision
• Machine Learning
On the basis of component, this report displays the revenue, market share and growth rate of each type, primarily split into
• Hardware
• Software
• Services
On the basis on the applications, this report focuses on the status and outlook for major applications, market share and growth rate for each application, including
• Drone Analytics
• Livestock Monitoring
• Precision Farming
• Agriculture Robots
• Other
Buy Complete Report@ https://www.qurateresearch.com/report/buy/AR/QBI-XPR-AR-55940/
Geographic Segmentation: This report split global market into North America, Europe, Asia Pacific, the Middle East and Africa and Latin America, with revenue (Million USD), market share and growth rate of AI in Agriculture for these regions, from 2015 to 2025 (forecast)
Global Artificial Intelligence in Agriculture Market is valued at USD 431.6 million in 2015 and growing at a CAGR of over 22% between 2017 and 2025.
Get Sample Copy of This Report@ : https://www.qurateresearch.com/report/sample/AR/QBI-XPR-AR-55940
Key players: Overview of market leaders in AI in Agriculture market by top manufacturers/players, with AI in Agriculture revenue (Million USD) and market share for each manufacturer/player; the top players including Iteris Inc., Trimble Inc., John Deere, AGCO Corporation, Agworld Pty. Ltd, Hortau’s Irrigation Management Service, Grownetics Agriculture Services, Raven Industries, Pycno, and Service Corporation International.
Rising adoption of precision agriculture & smart sensors will also influence the market positively. Smart sensors are placed across the farms to support precision agriculture procedure via data provided by the control systems and generate conversant decisions in fertilizing, harvesting, & planting. Moreover, the sensors measure various climatic & soil aspects including humidity and temperature which forwards information to the control system.
Increasing application of computer vision technology such as plant image recognition, and the cumulative demand for healthier crop analyses are the significant factors subsidizing the segment growth. Also, drone analytics application is projected to witness substantial growth owing to the wide-ranging application for real-time decisions along with mapping & diagnosing crop health. Pleasing government regulations for drones’ application in agricultural sector is expected to fuel the growth.
Enquiry before buying: https://www.qurateresearch.com/report/enquiry/AR/QBI-XPR-AR-55940
The report includes -
Segmentation: On the basis of technology, this report displays the revenue, market share and growth rate of each type, primarily split into
• Predictive Analysis
• Computer Vision
• Machine Learning
On the basis of component, this report displays the revenue, market share and growth rate of each type, primarily split into
• Hardware
• Software
• Services
On the basis on the applications, this report focuses on the status and outlook for major applications, market share and growth rate for each application, including
• Drone Analytics
• Livestock Monitoring
• Precision Farming
• Agriculture Robots
• Other
Buy Complete Report@ https://www.qurateresearch.com/report/buy/AR/QBI-XPR-AR-55940/
Geographic Segmentation: This report split global market into North America, Europe, Asia Pacific, the Middle East and Africa and Latin America, with revenue (Million USD), market share and growth rate of AI in Agriculture for these regions, from 2015 to 2025 (forecast)
Contact Information:
Qurate Business Intelligence
Nehal Chinoy
Tel: +919881074592
Email us
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Qurate Business Intelligence
Nehal Chinoy
Tel: +919881074592
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results