Adaptable edge-based seed sorting platform with multispectral imaging
An innovative seed sorting platform using multispectral imaging and edge-based computer vision to classify seeds with high precision and speed, enhancing agricultural productivity and aiding crop breeding efforts.
Overview
The Adaptable Edge-Based Seed Sorting Platform utilizes advanced multispectral imaging (MSI) integrated with computer vision algorithms to revolutionize seed sorting processes in agriculture. This technology offers automatic classification of various seed types, including maize, beans, and cucumber, processing over 1000 seeds per minute with a precision of 90%. By capturing detailed spectral data such as seed size, color, and quality, this platform greatly enhances agricultural productivity and supports crop breeding initiatives.
Technical specifications
- Multispectral Sensor Integration: The platform integrates MSI sensors to capture comprehensive spectral data of seed characteristics, enabling precise classification.
- Edge-Based Computer Vision: Custom algorithms run on edge devices to ensure real-time processing and classification of seeds, enhancing sorting accuracy and efficiency.
- AI-Based Classification: The system employs AI-driven algorithms to differentiate between haploid and diploid kernels, crucial for developing hybrid varieties.
- Prototype Development: A prototype machine is under development, featuring integrated MSI sensors, algorithms, and sorting mechanisms, designed for usability and portability in agricultural research stations.
Technology readiness level
Currently at Technology Readiness Level 4, the platform is in the prototype stage, with ongoing development and testing to validate its capabilities in real-world agricultural settings.
About IPD Scientific LLC
IPD Scientific LLC is a San Diego-based technology firm founded in 2022 that specializes in custom AI-powered computer vision and machine learning solutions. The company develops proprietary algorithms for image processing, automation, and deep learning, while providing comprehensive data collection services across a diverse array of sensor types, including medical imaging, LiDAR, infrared, and aerial photogrammetry. Their technical process involves breaking complex vision problems into manageable AI subtasks, utilizing frameworks such as Keras, PyTorch, and TensorFlow to build production-ready systems from prototype to laboratory testing.
By offering expert consulting, roadmap development, and hands-on algorithm architecture, the firm enables clients in sectors like healthcare, defense, and environmental monitoring to achieve their automation objectives. Customers rely on IPD Scientific to navigate the challenges of data labeling, preprocessing, and model optimization, resulting in enhanced operational accuracy and efficiency. As a woman-owned small business, the firm supports organizations by transforming raw sensor data into actionable insights and 3D models, helping them overcome technical hurdles in fields ranging from medical diagnostics to autonomous system prototyping.
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