Contact Us : Monday – Friday (09:00 AM – 06:00 PM) | Bangalore | Bhubaneswar

About Us

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Growing Prosperity Through Innovation

Leading the Agri-Tech Revolution in India

Krishi Vruddhi empowers farmers by providing precision farming solutions that promote sustainable practices and enhance productivity. The integrated platform utilizes hyperlocal weather observations and analytics of imagery from satellites & drones to provide crop specific hyperlocal advisory. This technology allows for real-time identification of water stress, nutrient deficiencies, pests, diseases, and weeds. With this information, farmers can make informed decisions, optimise resource use, and sustainably increase their yields. Krishi Vruddhi integrates lightning early warning with the objective of saving farmers’ lives. It is important to note that lightning kills more people in India compared to any other natural disaster

Over 40% of cultivation in India is Sugarcane
Of the 50 Million farmers producing sugarcane, we are targeting a 16% sugarcane market share – 8 Million farmers
Our Solution has the power to impact One-Third of farmers in India
Why Choose Krishi Vruddhi?

Krishi Vruddhi uses real-time data from the following three sources:

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Automatic weather stations, lightning detection systems including radars & Ultra-High / Very High / High / Low Frequency sensors – for weather forecasting and lightning alerts

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Satellite imagery analytics to understand generic crop issues related to water-stress, nutrition-stress, pests & diseases and overall crop health

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Drone imagery to understand agroclimatic zone/crop / variety-specific crop conditions

All of the above data is used to perform predictive and prescriptive analytics using AI models for crop intelligence and ground truth data to derive the necessary advice.

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24/7 Farmer Support

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AI That Learns With You

The Hydenmet Connect

Krishi Vruddhi is the flagship product of the agri-tech segment of Hydenmet, designed to serve as a comprehensive technology platform for providing crop-specific advisory for different agroclimatic zones.

Krishi Vruddhi uses real-time data from the following three sources:

All of the above data is used to perform predictive and prescriptive analytics using AI models for crop intelligence and ground truth data to derive the necessary advice.

The Next Steps

Krishi Vruddhi’s metamorphosis is to provide automated and targeted interventions.