Garuda Aerospace partners with Agrowing to boost AI precision agriculture

New Delhi: Garuda Aerospace has announced a partnership with Agrowing. This collaboration aims to bring advanced multispectral AI-driven agricultural solutions to farmers across India, enhancing productivity and efficiency.

Garuda Aerospace, committed to positioning India as a global leader in drone technology, is integrating Agrowing’s state-of-the-art sensor technology with its own Kisan drones. This partnership aligns with the “Make in India” initiative, showcasing Garuda’s dedication to providing affordable, high-quality, domestically produced drones for agricultural use. Agrowing, based in Rishon LeZion, Israel, is renowned for its high-resolution multispectral sensors and innovative imagery techniques, which will now be leveraged to improve agricultural practices in India.

The partnership will utilize Garuda’s Kisan drones equipped with Agrowing’s 11 and 15-band multispectral sensors. These drones will offer farmers advanced surveying solutions based on ‘remote and close’ imagery acquisition method, combining deep learning and AI to monitor and analyze various aspects of agriculture, including soil health, plant conditions, water usage, and environmental factors.

Ira Dvir, CEO of Agrowing, emphasized, “The collaboration between Garuda Aerospace and Agrowing will enhance agriculture productivity by monitoring and quantifying soil, plant, water, and environment. Garuda is a world leader with vast experience working with growers and answering their everyday needs. With a strong partner like Garuda, we will surely see the solution deployed widely in India and worldwide.”

Agnishwar Jayaprakash, Founder and CEO of Garuda Aerospace, highlighted, “Garuda Aerospace has a significant market share for agriculture drones and our collaboration with Agrowing will help us further strengthen and expand our presence in this domain. With this association, our Garuda Kisan drones will support farmers to identify and spot outlying and stressed zones in the field which is revolutionary in a way. It will provide immediate leaf-level high-resolution multispectral AI classification of the imagery making way for actionable data for early-stage containing of the identified hazards.”