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Global Smart Agriculture Sensors Market Research Report 2020
Published Date: July 2020
|
Report Code: QYRE-Othe-1D318
Home | Category |Business & Industrial |Agriculture & Forestry |Agricultural Equipment
Smart Agriculture Sensors Market

Global Smart Agriculture Sensors Market Research Report 2020

Code: QYRE-Othe-1D318
Report
July 2020
118 Pages
QYResearch
Region: Global,
Description
Table of Content
Tables & Figures
Smart Agriculture Sensors Market Overview

The global Smart Agriculture Sensors market is valued at xx million US$ in 2020 is expected to reach xx million US$ by the end of 2026, growing at a CAGR of xx% during 2021-2026.

Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting, could be made. A number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors including:

Global Smart Agriculture Sensors Market: Drivers and Restrains

The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and also about each type from 2015 to 2026. This section mentions the volume of production by region from 2015 to 2026. Pricing analysis is included in the report according to each type from the year 2015 to 2026, manufacturer from 2015 to 2020, region from 2015 to 2020, and global price from 2015 to 2026.

A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.

Market Segment Analysis

The research report includes specific segments by Type and by Application. Each type provides information about the production during the forecast period of 2015 to 2026. Application segment also provides consumption during the forecast period of 2015 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type

  • Location Sensor
  • Optical Sensor
  • Other

Segment by Application

  • Yield Monitoring and Mapping
  • Soil Monitoring
  • Disease Control and Detection
  • Irrigation and Water Management
  • Other

Global Smart Agriculture Sensors Market: Regional Analysis

The report offers in-depth assessment of the growth and other aspects of the Smart Agriculture Sensors market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.

The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2015 to 2026. These analyses will help the reader to understand the potential worth of investment in a particular region.

Global Smart Agriculture Sensors Market: Competitive Landscape

This section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the global price of manufacturers, and production by manufacturers during the forecast period of 2015 to 2019.

The major players in the market include Vishay, Honeywell, Texas Instruments, Auroras s.r.l., Bosch, Avidor High Tech, Libelium, Sol Chip Ltd, Pycno Agriculture, CropX Inc, Trimble Inc, Sentera, LLC., The Yield Pty Ltd, etc.

TABLE OF CONTENT
LIST OF TABLES & FIGURES
 
Smart Agriculture Sensors Market Overview

The global Smart Agriculture Sensors market is valued at xx million US$ in 2020 is expected to reach xx million US$ by the end of 2026, growing at a CAGR of xx% during 2021-2026.

Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting, could be made. A number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors including:

Global Smart Agriculture Sensors Market: Drivers and Restrains

The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and also about each type from 2015 to 2026. This section mentions the volume of production by region from 2015 to 2026. Pricing analysis is included in the report according to each type from the year 2015 to 2026, manufacturer from 2015 to 2020, region from 2015 to 2020, and global price from 2015 to 2026.

A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.

Market Segment Analysis

The research report includes specific segments by Type and by Application. Each type provides information about the production during the forecast period of 2015 to 2026. Application segment also provides consumption during the forecast period of 2015 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type

  • Location Sensor
  • Optical Sensor
  • Other

Segment by Application

  • Yield Monitoring and Mapping
  • Soil Monitoring
  • Disease Control and Detection
  • Irrigation and Water Management
  • Other

Global Smart Agriculture Sensors Market: Regional Analysis

The report offers in-depth assessment of the growth and other aspects of the Smart Agriculture Sensors market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.

The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2015 to 2026. These analyses will help the reader to understand the potential worth of investment in a particular region.

Global Smart Agriculture Sensors Market: Competitive Landscape

This section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the global price of manufacturers, and production by manufacturers during the forecast period of 2015 to 2019.

The major players in the market include Vishay, Honeywell, Texas Instruments, Auroras s.r.l., Bosch, Avidor High Tech, Libelium, Sol Chip Ltd, Pycno Agriculture, CropX Inc, Trimble Inc, Sentera, LLC., The Yield Pty Ltd, etc.

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TABLE OF CONTENT
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LIST OF TABLES & FIGURES
 
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