STATUS PATENT : PENDING
Agrolytix
Agrolytix is an artificial intelligence-based agricultural analytics platform designed to support fast, accurate, and data-driven post-harvest analysis. This system utilizes computer vision and machine learning technology to automatically count watermelons, classify weights into several classes, and estimate the number of watermelon seeds from digital images. Agrolytix is also equipped with data annotation features that support the development of machine learning and deep learning models, making it suitable for use in research, industry, and the development of precision agriculture systems. With a modern web interface and informative visual analytics, Agrolytix helps users make data-driven decisions to improve efficiency, quality consistency, and productivity in the modern agricultural sector.
Specification
Measurement Capabilities
Automatic image-based watermelon counting
Classification of watermelon weight into 8 weight classes (<2 kg, 2–2.5 kg, 2.6–3 kg, 3.1–4 kg, 4.1–5 kg, 5.1–6 kg, 6.1–7.5 kg, >7.5 kg)
Artificial intelligence-based watermelon seed estimation
Analysis is performed quickly in real-time or in batches
Serves as an analytical tool and initial reference in post-harvest quality assessment
Software & Platform
Web-based applications
Image processing using AI, computer vision, and machine learning
Data annotation features for machine learning and deep learning needs
Data visualization in the form of graphs, tables, and interactive dashboards
Dataset management and analysis history
Supports data export and annotation
Dashboard Website
For inquiry please contact : 085190097654