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
Semios Helps Growers Find a Safer Alternative to Harmful Pesticides
Semios has been offering pest management systems using a network of connected devices including pheromone dispensers, automated traps, soil moisture meters, leaf-wetness monitoring and weather stations. Pheromones are an alternative for pesticides. The challenge was that pheromones are generally more expensive than pesticides. To get the growers to adopt pheromones Semios need to automate their delivery in a way that's going to be more cost-effective. The two key elements of precision agriculture are the provision of information based on data collected from the field and, based on that information, timely, precise action to manage the crop. Semios wanted an IoT solution to better manage the data and control the logistic of pheromone.
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.
Case Study
Freight Farms: Innovative Agriculture through the IoT
Freight Farms’ goal was to create a connected farming environment that was simple to set-up, highly responsive, easy to scale, and would offer a path to future features and services - from day-to-day operations, to support, to growing optimizations, connecting their farms delivers an even greater experience to their farmers. After internal constraints for the hours of support required to build, integrate and maintain their own IoT solution, Freight Farms began looking at and evaluating IoT partners they could trust.