A successful harvest all begins with soil and crop health monitoring. Farmers without insight into the environmental conditions of their property have little insight to how factors such as temperature, humidity, and soil makeup are impacting yield. Current approaches are manual and unreliable, costing farmers in time, resources, and unrealized profits. The Crop Health Monitoring System provides users with an automated and intuitive solution to getting the most out of a season’s crop.
Farmers can improve crop yield by monitoring, measuring, and analyzing different environmental conditions and soil data, allowing them to proactively take action and address potential problems.
Use real-time and historical data to analyze trends to predict irrigation needs and better manage crops.
Receive real-time alerts of infestations or dangerous environmental conditions to reduce crop loss and improve response time.
Integrate automated data collection and actuation systems to maintain healthier crops without spending additional resources.
Remotely monitor soil moisture, temperature, rainfall and more to reduce waterlogged areas and root-rot damage. Automate the irrigation schedule based on environmental conditions and machine learning.
Unlock new insights and save on staffing costs by automating soil sampling and analyzing the availability of nutrients, pH levels, humidity, moisture, and other key data points.
Historical data and future environmental conditions combine to create a holistic forecast of crop yield and recommend actions to improve it.
Streamlined & automated workflows for irrigation and sampling eliminate need for manual checks and additional labor costs.
Real-time alerts on environmental conditions allows farmers to prevent small issues from become big problems in the future, protecting crops from potential damage and saving on the costs that would otherwise be required.
We have the knowledge and expertise to make your IoT project become a reality. Learn more about some of the tools we’ve built to get it up and running quickly.
The Leverege IoT Stack is purpose-built to be open and flexible, meaning that we can easily and quickly customize to your specific use case and unique business needs.
Do you know the current status of all your important remote assets? It can be highly tedious and even dangerous to manually check the status of unattended assets. If you don't periodically check the status of your assets, you risk unexpected downtime, suboptimal utilization, and safety violations. This ultimately results in lost revenue, high maintenance costs, theft, and penalties if you fail to comply with regulations.
Leverege's remote monitoring application provides the real-time status of all your remote assets. No longer will you or your employees need to manually check assets, which means reduced costs, increased efficiency, and improved safety. Configure and set alerts so that you're notified during key events, such as an asset moving from where it's supposed to be or a temperature reading exceeding a threshold. Capture historical data for auditing and compliance, and apply machine learning to your data to generate predictive insights.
Organizations with complex operations and workflows can suffer from duplicated work, internal confusion, and high process overhead. Teams often need to transfer materials to each other to complete tasks, but information can get incorrectly relayed or lost, processing can get delayed, and bottlenecks can throttle throughput. As processes get more complicated, teams may create shadow systems as workarounds to a cumbersome workflow, further siloing an organization and fragmenting sources of truth.
Leverege’s workflow automation application unlocks powerful insights about organizational workflows and enables workflows to be digitized and even automated. With features including real-time asset tracking at meter-level accuracy, historical data aggregations, events and alerts, analytics dashboards, and inventory reporting, organizations can quickly identify workflow efficiencies and build new digital-first workflows to streamline operations and capture key data in one place.
Service-based organizations strive to deliver services faster and at lower cost, without comprising customer experience. However, processes like timekeeping or log entries are manual, error prone, unstandardized, and not real-time, making it hard to trust data quality and to accurately predict service times. These operational inefficiencies and unpredictable service times increase overhead costs and decrease customer satisfaction.
Leverege's machine learning-based service tracking application improves the customer experience and drives operational efficiency for a wide range of industries. Through integration with existing workflows and real-time detection of assets moving through process states, the application calculates expected service times and generates notifications at critical checkpoints. Historical data visualizations of session times and equipment usage empowers you to track promise time targets, make better resourcing decisions, and optimize throughput.