Smart Agriculture, One Flight at a Time
Sairone is an AI/ML-drone platform that makes agriculture more efficient, and environmental monitoring smarter.
Save Time and Increase Precision
For Ducks Unlimited Canada, we developed a platform leveraging deep learning and GPS integration to enhance invasive species detection and protect aquatic ecosystems. By automating GPS and species identification using DUC's flight data, Sairone streamlined detection efforts, allowing field workers to focus on their priorities like pinpointing species, tracking trends, and safeguarding Canadian wetlands. Read more in this article.
Weed and Invasive Plant Control Solution
Our advanced Weed and Invasive Plant Control product is designed to revolutionize the management of weeds and invasive species, including Canadian fleabane, thistle, European water chestnut, European water soldier, and many others. This innovative platform enables users to effortlessly upload image files, orthomosaic files, or even videos and process them through our powerful, machine-learning-based detection models.
With an intuitive user interface, users can identify and extract weeds and invasive plants with ease. The results can be reviewed and exported as shapefiles, ensuring compatibility with various GIS software and Google Earth. Whether for agricultural, environmental, or research purposes, our solution provides a seamless and efficient approach to invasive species control and monitoring.
Crop Yield Estimation (Coming Soon)
Our Crop Yield Estimation solution leverages cutting-edge AI to provide farmers with precise, actionable insights for optimizing agricultural practices and driving sustainable farming. By integrating advanced services such as crop detection and localization, crop counting, nitrogen content estimation, and weather and soil analysis, our platform delivers highly accurate yield forecasts. These insights empower farmers to make data-driven decisions, reduce waste, enhance productivity, and address critical challenges like resource management and climate adaptation. With a focus on efficiency and sustainability, our solution supports farmers in achieving their goals while contributing to a more resilient agricultural ecosystem.
Enhancing Apple Blossom Detection with Sairone
In 2024, the Cropmind team partnered with Sairone to accurately detect and count apple blossoms per tree. Using data collected by Cropmind, our platform provided precise blossom detection, empowering their team with actionable insights for better orchard management.
Additionally, we developed a white-labeled version of our crop detection service, customized for their use from January to September 2024. This seamless integration helped streamline their workflow and optimize their decision-making process. Sairone’s advanced AI capabilities proved instrumental in transforming their approach to crop monitoring.
Enhancing UAV-Based Surveillance for European Water Chestnut Detection
In collaboration with Ducks Unlimited Canada (DUC), Saiwa has been instrumental in advancing the detection and surveillance of European Water Chestnut through cutting-edge machine learning solutions. Building on the success of our first project, where we delivered the initial version of the EWC Detector software, this initiative focuses on upgrading product features, enhancing interfaces, and streamlining workflows for DUC’s UAV-based surveillance efforts.
The project includes three phases: implementing incremental learning methods for improved detection accuracy, developing universal coordination features for precise mapping, and designing an intuitive user interface. By delivering these advanced functionalities, Saiwa continues to empower DUC with state-of-the-art tools to monitor and manage invasive species effectively.
We offer a number of AI powered drone applications to automate the processing of high-resolution aerial images in agriculture, greenhouse, ecology, habitat monitoring and environmental conservation. Our applications compile the drone imagery, generating customer-requested reports with high precision and efficiency, ultimately accelerating knowledge synthesis by removing the tedious aspects of dealing with large and complex data.
