On the eve of Republic Day, with an aim to deliver autonomous surveillance and crop care in real time, BigHaat, India’s leading Agri Inputs digital marketplace platform, today released a comprehensive agri input stack backed by a robust network of satellites, agronomists and farmers. They are the first such start-up or company to do so in the agritech sector.
This facility lets the farmer visit their farm, click an image and upload via the ‘Crop Doctor’ feature of the BigHaat app. The AI (Artificial Intelligence) technology then advises the best practices, most suitable inputs and offers dynamic assistance in real time to the farmers. This unique approach is aimed towards automating crop care across India, giving the farmers a reliable full stack farm management approach.
BigHaat provides farmers end to end crop advisory and a wide range of quality inputs such as seeds, pesticides, fertilisers, nutrients and farm implements by leveraging the power of data, science and technology. Over 4 million farmers in India have engaged on the platform since their inception in 2015.
Sateesh Nakula, CEO & Co-founder, BigHaat, said, “We are happy to be empowering the Indian farmer community with dynamic information and knowledge with the help of our technology stack. The solution is expected to provide targeted solutions to farmers enabling them to use 20 to 40 percent lesser chemicals and 30 to 60 percent lesser water.”
BigHaat has connected the farming community with Kisan Vedika, a social media facility for farmers where they can put their queries in regional languages and expect end-to-end guidance. These are carefully crafted by their team of agri experts.
With over 145 million farmers in India, agri-inputs is a US$800 billion opportunity cumulatively over the next 10 years.
This is the first time the Indian farmers will get the hands-on experience based on AI incorporating various data which includes satellite images, ground images, weather forecast, along with other sources and providing output without human intervention.
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