United States M2M/IoT Applications in the Agricultural Market Research Report 2018-2025: Focus on Industry Analysis, Geographic Region, Deployment Mode & Consulting, Software And Services – Research and Markets

“United States M2M/IoT Applications in the Agricultural Professional Survey Report 2018” report title add in QY Research Groups database. This report provided upcoming trends in the global market with drivers, restraints and leading players in the market.

Smart farming refers to the application of information and communication technology in agricultural production systems. The electrification of agricultural equipment has advanced over several decades but has accelerated in recent years due to improvements in computing power, data storage and wireless data transfer. QY Research definition of smart farming solutions include systems installed in agricultural equipment, in the field or fitted to animals.Included are also back office IT systems which ensure that agricultural production can be planned, scheduled and managed to achieve efficient operations.

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Precision agriculture is about managing variations in the field to increase crop yield, raise productivity and reduce consumption of agricultural inputs. While solutions such as auto guidance and machine monitoring and control via on-board displays today are main stream technologies in the agricultural industry, telematics and Variable Rate Technology (VRT) are still in the early days of adoption.

Most major agricultural equipment manufacturers have initiatives related to precision agriculture although strategies vary markedly. Leading providers of precision agriculture solutions include Deere & Company, Tremble, Topcon Positioning Systems and Raven Industries. Other significant vendors include AGCO, Ag Leader Technology, DICKEY-john and Hexagon. Important players that specialist in data-oriented applications and agronomic services are the Monsanto subsidiary The Climate Corporation, Farmers Edge and Dow DuPont with its En circa services.

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Remote monitoring solutions incorporate wireless connectivity, data logging, cameras and sensors that record measurements of environmental parameters to support decision making in agricultural production. In addition to weather and soil moisture content monitoring applications, these solutions enable growers to apply crop protection chemicals only when there is a disease or pest risk. Important players include Davis Instruments, Pessl Instruments with its METOS brand and Semios, all having installed bases of over 25,000 in-field sensor systems across a multitude of countries in North America, Europe and beyond. Top specialised providers of integrated soil moisture monitoring solutions comprise Author, Aqua spy and Crop X. Remote irrigation control solutions are offered by the largest OEMs of central pivot irrigation machines and drip irrigation systems including Valmont Industries wit hits Valley Irrigation brand, Lindsay Corporation with its Zimmatic brand, Netafim and Jain Irrigation Systems. QY Research estimates that shipments of in-field sensor systems and remote control units amounted to 118,000 in 2018. Growing at a CAGR of 48.7 percent,shipments are expected to reach 6725,320 units in 2025.

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TOC :

1 The agricultural sector
1.1 Agricultural production
1.1.1 Agricultural land use
1.1.2 Irrigated area and irrigation methods
1.1.3 Employment in agriculture
1.1.4 Forestry
1.1.5 The food and agribusiness value chain
1.2 Agricultural commodities
1.3 Demand for agricultural commodities
1.3.1 Population growth and economic development
1.3.2 Consumption of agricultural products
1.4 Agricultural operations
1.4.1 Farm income and capital expenditures
1.4.2 Mixed crop-livestock farming
1.4.3 Crop farming
1.4.4 Livestock farming
1.5 Agricultural equipment
2 Smart farming technologies and solutions
2.1 Smart farming infrastructure
2.1.1 Farm equipment segment
2.1.2 Field segment
2.1.3 Livestock segment
2.1.4 GNSS segment
2.1.5 Network segment
2.1.6 Backoffice segment
2.2 Machinery management
2.2.1 Vehicle diagnostics and maintenance planning
2.3 Precision agriculture
2.3.1 Guidance and automated steering
2.3.2 Yield monitoring and mapping
2.3.3 Precision seeding
2.3.4 Precision fertilising
2.3.5 Precision spraying
2.4 Remote sensing
2.4.1 Satellite and drone imagery
2.5 Remote monitoring and control
2.5.1 Weather monitoring
2.5.2 Pest monitoring and control
2.5.3 Irrigation management
2.6 Precision livestock farming
2.6.1 Pig management
2.6.2 Poultry management
2.6.3 Beef cattle management
2.6.4 Dairy herd management
2.7 Data management and predictive analytics
2.8 Business models and strategies

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