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About Planto
Planto is Agdhi’s field-ready seed intelligence suite that pairs rugged imaging hardware with AI-driven software to deliver fast, objective, and DNA-linked seed quality analysis. Replacing slow, subjective manual inspections, Planto automates phenotypic screening, cross-validates visual traits with genetic signatures, and produces verifiable seed-quality reports in minutes — enabling seed houses, agronomists, and farmers to make confident, data-driven decisions that boost throughput, reduce errors, and improve crop outcomes.
Agenda
19%
accuracy in identifying phenotypic seed defects using AI-powered vision technology.
5x
aster than traditional manual seed inspection methods — reducing testing time from hours to under 15 minutes per batch.
72%
reduction in human error through automated seed classification and grading.
85%
improvement in seed batch consistency when integrated into early-stage sorting workflows.
Solution
The project consisted of developing a platform to improve the productivity and effectiveness of the Agriculture industry by providing an efficient way to collect and monitor data in order to enhance the productivity and effectiveness of the industry. As a result, high crop yields can be achieved by growing the best hybrid crop according to the instruction provided by the seed company. This can be an increase in profitability and production for farmers.
Each Surveyor collects observations from the field using Surveyor mobile app
Reports directly from the field are tightly integrated with the Manager application for analysis
Co founder, Agdhi
Nikhil Das
"Cyber Sapient's expertise in data analytics and AI transformed our agricultural operations. Their solutions helped us optimize resource usage, improve crop yields, and make data-driven decisions. We're incredibly impressed with their professionalism and commitment to our success."
Identification of plant quality, diseases, infection & pests
Analyse each seedling growth and analyse its germination %
Identify & help remove weeds from good seedlings.
know the different infections that may affect or have affected the crops
Challenges
The Planto project confronted deep-rooted inefficiencies in seed inspection and agricultural data workflows, pushing the boundaries of what's possible through integrated hardware, AI, and computer vision. The results speak to a transformative shift: dramatically faster inspection cycles, reduced human error, and significantly improved seed batch consistency. These outcomes reflect the real challenges Planto was built to solve—bringing precision, automation, and scalability to an industry long reliant on manual processes.