Farm Monitoring & Precision Farming
Overview
Farm monitoring and precision farming are farm management concepts that uses sensors, data from external systems, such as weather reports, and network communciation to tailor farming operations to the specific conditions of each field. Farmers generate data via sensors and analyze the information to evaluate current practices and make improvements for greater efficiency and effectiveness. There are a variety of smart farming applications including crop observation, agriculture vehicle Tracking, irrigation management, livestock management, and storage monitoring.
Applicable Industries
- Other
Applicable Functions
- Maintenance
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
Technology Viewpoint
What technologies are integrated on Precision Farming?
GPS and GIS technologies into daily farm work. But also crop sensors, aerial and/or satellite imagery.
Case Studies.
Case Study
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.
Case Study
Precision beekeeping with wireless temperature monitoring
Honeybees are insects of large economic value and provide a vital service to agriculture by pollinating a variety of crops. In addition, bees provide us with valuable products such as honey, beeswax, propolis, bee venom, etc. Monitoring of honeybee colony health, population, productivity, and environmental conditions affecting the colony health have always been exceedingly difficult tasks in apiculture. Research has shown that even small deviations (by more than 2°C) from the optimal temperatures have a significant influence on the development of the brood and the health of adult bees.
Case Study
IIC Precision Crop Management Testbed
The global population is continuing to grow at a rapid pace placing increasing demands on the global food supply. In addition, impacts from climate change and a yearly reduction of available arable land will require the Agricultural sector to develop better ways of increasing crop yields and reducing costs. GOAL The goal for the Precision Crop Management Testbed is to create an environment where IoT solutions with the potential to impact world hunger can be developed.