Common Use Cases
We're working to create tools to help farmers and organizations collect and analyze data about their land and resources. From environmental conditions, to bird's eye view imaging, to disease prediction and detection, anything that affects farm production can be measured and analyzed.
Extracting insights from this data allows farmers and organizations to predict and track growth conditions, understand dependencies and relationships, and improve farming efficiencies and yield. Further, we can optimize existing processes, reduce equipment downtime, and integrate operational data into a preventative maintenance system. With automation and integration of continuous data streams, let's work together to reduce the amount of natural resources, time, and energy needed to meet your goals.
We specialize in image analysis from remote sources such as drones, UAVs, and satellites, building sensing and monitoring systems, that combine measurement of actual performance of farm processes with external data to drive decision-making and holistic observations.
We enable precision agriculture practices through machine learning, building predictive systems that integrate with environmental factors and other crop forecasting data streams.
Image Analysis: Automate monitoring growth, spatial variability, and disease using deep learning.
Anomaly Detection: Track movement, detect changes, and create alerts for acute events.
We build highly functional and scalable solutions to reduce operating costs, conserve natural resources, and enable farmers to know the state of their crops.
From analyzing water holding capacity to full irrigation optimization we can incorporate lighting, energy, and factors such as weather, climate, soil type, and chemistry into models that monitor and predict important trends.
Whether integrating new connected devices or optimizing new sensors, we develop automated and intelligent big data solutions to determine when to plant, fertilize, irrigate, and harvest to achieve your quality and yield goals.
We can create customized data monitoring and actionable prescription systems, providing recommendations for recognized field problems.
Use machine learning and artificial intelligence to understand livestock conditions, such dairy and cattle operations at a granular level.
Health & Sensors: Use machine learning to predict events, such as pregnancy and birth, or monitor disease. Lower mortality rates through constant monitoring and allocating intervention resources.
GPS & Activity: Track animals and monitor activity, whether simple identification earrings to advanced 'fitbit' like trackers. We develop data systems and algorithms to monitor vital statistics, locate stray animals, and other wearable technologies.