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
Enabling Internet of Things Innovation in Agriculture
DigiBale, wanted to apply technology know-how and IP from implementations successfully to more agriculture sectors including cotton, forestry, sugarcane and cattle. However, farmers and growers still have worries about the connected technology.
Case Study
Work with Asparagus Farmers on IoT Solution
The quality of asparagus depends heavily on the temperature of the ground in which it’s grown. To control the temperature, farmers use a two-sided sheet of foil: the black side draws in sunlight to increase the heat of the asparagus bed, and the white side reflects light to cool the bed down. In order to make the right “black or white” decision, the farmer needs to measure the temperature of every field at least once each evening.
Case Study
Executing Precision Farming to Maximize Yields
Traditionally, farmers either apply a high dosage or a high number of repeat sprayings of chemicals as they do not want to risk any disease or damage to the crops on which their livelihoods depend. This is quite inefficient in terms of both time and money wasted. Dacom aimed to increase the effectiveness of these farmers by providing them with accurate, real-time, and streamlined information.