Monitoring and assessing key welfare indicators such as weight, water consumption, temperature, humidity, and CO2 levels within poultry houses is essential for ensuring sustainable and productive poultry farming practices. However, assessing these indicators in large poultry farms that rear millions of birds each year is no easy undertaking.A customer managing 700,000 birds across 7 farms required a solution to wirelessly monitor parameters including climate, water consumption, and bird weights. Prior to implementing the PrognositX - Poultry Sense IoT solution, this customer manually took readings of temperature and humidity conditions and input those values into a spreadsheet. This proved to be a lengthy and increasingly inefficient process. Conditions in every shed and farm can vary, and with increasingly stringent audit requirements, the customer required a solution that would enable them to efficiently and consistently capture, track, and interpret real-time data.

Semios Technologies decided to create a product that radically changes how orchard growers handle pest control. The key to the product is the use of new pesticide-free pheromones. To turn this idea into reality, they needed to create a system that could sense where the pests were breeding and automatically dispense the pheromone-based pest control in response. Semios realized their largest challenge would be getting a system that worked in an environment with no dedicated power and where wireless signals needed to travel through the hundreds of acres of dense foliage. That is where SNAP-based technology from Synapse provided the answer.

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.

Agriculture disease and pest management uses sensors to monitor for specific pests to understand their activity, location, and behavior patterns. It is done by connecting traps or sensors to report specific pest levels and automating data collection to take more accurate and timely countermeasures. Pest activity can be tracked in different areas of the farm or surrounding areas so that action can be taken before crops are severely affected. This use case also includes integrated pest management, a process to select pest control actions that will ensure favorable economic, ecological, and social consequences. Automating time-consuming aspects of pest management such as measuring indicators and responding to them based on pre-defined rules makes the process more accurate, timely, and efficient.