Accelerating the
Industrial Internet of Things

Precision Farming

Precision Farming
Precision Farming
Precision Farming
Precision Farming
Precision Farming
Precision Farming
Precision Farming
Feature New Record
DESCRIPTION
Precision farming enables farmers to increase production (yield), lower their operational costs and economize their applications of chemicals and fertilizers. PCM focuses on improving crop yield through the analysis of real-time data from a variety of environmental sensors and other data sources located in commercial crop fields or throughout the enterprise.

CHALLENGES / REQUIREMENTS
- Present systems are very costly and typically overuse water and fertilizers due to lack of visibility
- Many plants flourish in a very narrow soil moisture range
- Global population growth is placing pressure on the food supply
- Arable land is decreasing due to climate change

STAKEHOLDERS
- Farm owners
- Irrigation systems providers
- Equipment OEMs
- Cloud platform providers
- Sensor manufacturers

KEY OBJECTIVES
- Optimize the use of fertilizer, pesticides, and water to minimize cost and waste
- Improve production output by precisely managing plots according to hyper-local requirements

TYPICAL SYSTEM CAPABILITIES
- Use of aerial imagery and sensor technologies to collect data on soil humidity, fertilizer and pesticides levels, sunlight, and other meaningful variables
- Send data to a central platform for analysis over a near real-time network
- Automate activities such as watering schedules based on crop conditions

USAGE VIEWPOINT
- Feedback from sensors in farm is given to analytical software, which defines levels of water, pesticides and fertilizers to be provided to the crop

FUNCTIONAL VIEWPOINT
- Sensors: Flow, Chemical
- Network: Low-power Wide Area Network (LPWAN), cellular, mesh
- Standards:
- Augmented Intelligence: Descriptive analytics
- Augmented Behavior: Machine-to-machine (M2M) interfaces
Sensor technologies hooked up to a mesh network enable agricultural workers to get a comprehensive 360 degree view of their crops. This is driven by various components which operate in tandem, including high-capacity data processing software. This allows workers to detect any anomalies in the fields, while also assisting in the identification of ideal and less-than-ideal conditions for crops, which leads to the gradual move towards better practices.

In addition, this is all possible without necessitating actually going to conduct this research on the ground. As such, not only is implementing PCM in itself a cost-saving and productivity boosting move, but it also results in increased convenience and ease for the workers. This can be repurposed by cutting operational expenses and slimming the amount of workers, but also by redirecting them to other tasks which could ultimately continue boosting growth.

Benefits: Efficiency increases, Convenience for workers who can conduct research from indoors, Higher quality products
-OPEX Reduction
-Customer Satisfaction Increase

Key vendors: Infosys, BASF, Bayer
MARKET SIZE

The precision farming market was valued at USD 4.42 billion in 2017 and is projected to reach USD 9.53 billion by 2023, at a CAGR of 13.38% during the forecast period.

Source: Markets and Markets

According to Stratistics MRC, the Global Precision Farming market accounted for USD 2.81 billion in 2014 and is expected to grow at a CAGR of 12.5% to reach USD 6.43 billion by 2022.

Source: reuters

The global precision farming market is anticipated to reach USD 10.23 billion by 2025, according to a new report by Grand View Research.

Source: grandviewresearch

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