> ARTIFICIAL
INTELLIGENCE
Agri-start up from
Bengaluru Creates AI-Based Tech to Examine Seeds Quality
20
Q
. Please explain Agdhi as an organisation. Key focus and what states you out when compared to other AI Companies? Agdhi is on a mission to combine digital technology and human creativity to create sustainable methods in agriculture.
NO VA TO
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Agdhi, a Bengaluru based start-up company has recently launched an AI technology to examine the quality of seeds. This technology -- along with photometry, radiometry and computer vision -- offers efficient methods for seed classification and seed quality analysis. During an interaction with Nitisha from BISinfotech, Nikhil Das, Founder, Agdhi shares the specialities of its products and also emphasized that the government should come out with policies in place that allows farmers to be better aware of technology-centric approaches.
Today, India is seeing a huge disruption in agriculture through technology. Agriculture which is both a major industry and foundation of the economy is looking for innovative approaches in protecting & improving crop yield. With this aim we plan to introduce next Generation Electronics products optimized for agriculture. We have a team of dynamic engineers, agri expert, bio-technologist bringing in cross domain expertise from agriculture, biotechnology and engineering domains of embedded, Software, AI , ML and mechanical.
Nikhil Das
> MARCH 2021
TE CH
Founder, Agdhi
We have our team working closely with the agricultural industry and farmers, understanding their problems to the core and bringing in solutions to their needs.
Q
. Please describe your latest project and how it will be helpful for farmers? We are bringing out three flagship products for the farmers. SeedVision - Seed is the most critical input in agriculture. Besides the regular cultivation practices, it is the quality of seed that determines the uniformity, vigour, growth, development and finally, the yield of crops. Seed quality refers to its uniformity, physical purity (size, shape, colour etc), genetic purity (true to its type), physiological purity (gemination %, vigour) and the presence of admixtures. It is reported that in hybrid rice for example, 1% reduction in seed purity results in yield loss of 100 Kgs/ha. The traditional methods of testing seed quality generally rely on manual inspection, “grow-out tests (GOT) which is time consuming, labour intensive and involves higher costs. With seedVision we are bringing in AI based seed phenotyping method which is a game changer in the agriculture
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