About Seedvision
Seed vision is the product of a new age agritech company, Agdhi. ’ There has been an increase in concerns about the quality of seeds in recent years. A phenotypic defect is one of the criteria that are used to judge the quality of seeds. In most cases, the traditional method of detecting seed defects consists of manual inspection, which is both inefficient and subjective, making it a poor way to detect defects in seeds. There is a need, therefore, for an objective, automated, and effective method of screening seeds. So, they built a product (hardware and software) with AI and computer vision-enabled patented technology to test seeds with their DNA sequence.
Problem
Seedvision, developed by the innovative agritech company Agdhi, addresses a critical challenge in agriculture: seed quality. Phenotypic defects—such as irregularities in color, texture, size, and shape—are key indicators of seed quality. Traditionally, detecting these defects relies on manual inspection, a process that is time-consuming, subjective, and prone to human error. This inefficiency creates a pressing need for an objective, automated, and effective method of screening seeds to ensure quality and maximize agricultural outcomes.
Co founder, Rghav
"Seedvision's crop yield prediction got a huge upgrade with Cyber Sapient's AI. Better insights, smarter farming – they're a vital partner!”
Higher-quality seeds, identified through precise analysis, lead to significantly improved crop yields.
Enhanced data collection and analysis enable better monitoring of seed quality throughout the supply chain.
Automation minimizes the need for extensive labor and resources, lowering quality assurance expenses.
Seedvision delivers rapid results, cutting down the time required for seed testing by more than half.
Benefits
Seedvision is a groundbreaking product that combines hardware and software to transform seed quality analysis. Powered by AI, computer vision, photometry, and radiometry, it offers:
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Automated Seed Screening: Seedvision extracts detailed phenotypic data—color, texture, size, and shape—from seed images using proprietary imaging techniques. Various computer vision classifiers then detect defects with precision, eliminating the subjectivity of manual inspections.
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DNA Sequence Testing: By mapping seed signatures to their DNA sequences, Seedvision ensures genetic purity and quality, providing deeper insights into seed performance.
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Mobile Application for Farmers: The Seedvision mobile app enables farmers to analyze seeds and predict yield outcomes on the go, making quality assessment accessible and actionable.
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Efficient Automation: By replacing labor-intensive manual inspections with automated processes, Seedvision delivers fast, consistent, and reliable results, revolutionizing seed sorting and quality assurance.
Solution
Stats
98%
accuracy in detecting phenotypic seed defects using AI + computer vision
90%
correlation between visual traits and DNA sequence validation
80%
reduction in time required for seed quality screening compared to manual methods
70%
decrease in human error through automated, objective analysis