Employing state-of-the-art AI technology, our system excels in accurately and promptly determining the vitality of blackberries. Through advanced computer vision and image processing, we achieve precise and real-time assessments, enabling us to discern whether the blackberries are alive or deceased. This innovative approach streamlines the process, contributing to efficient and effective detection, which proves invaluable in various applications, including agriculture and botanical research.
Automate vitality checks
To ensure a true reflection of real-world scenarios, we incorporate a wide array of essential factors, including lighting variations, angles, sizes, and backgrounds, culminating in a comprehensive dataset that holds immense value for our research and applications.
Our remote management capabilities empower you to make informed decisions, as you can remotely adjust fertilising strategies, monitor pest activity, and implement timely health interventions based on valuable insights derived from real-time data.
AI Model Training
The process begins with the curation of an extensive and diverse dataset, encompassing multiple blueberry species and a wide range of environmental conditions. Leveraging advanced algorithms and deep learning architectures, we meticulously train our models to exhibit precision in detecting and counting blueberry vitality in real-time.
AI Model Scalability
Our AI models are adept at efficiently handling a wide array of blackberry species and sizes, ensuring accurate counting regardless of the tracking conditions. This versatility makes our technology a reliable asset for diverse agricultural operations, providing precise and dependable insights to optimise productivity and resource management across different farming scales.
Talk to us about blackberry detection
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