SUIND

Bringing global crop losses to zero using computer vision, deep learning, smart sensing, and drone technology.

General Information
Company Name
SUIND
Founded Year
2020
Location (Offices)
Zurich, India +2
Founders / Decision Makers
Number of Employees
10
Industries
-
Funding Stage
-
Social Media

SUIND - Company Profile

SUIND is a pioneering startup with the ambitious goal of revolutionizing traditional agricultural methods using cutting-edge technology. Focused on reducing global crop losses, which currently amount to a substantial 30% reduction in yields and a $220 billion annual economic loss, the company's mission is to bring these losses to zero. SUIND utilizes computer vision, deep learning, smart sensing, and drone technology to achieve this goal.

The company's suite of tools includes fully autonomous drones equipped with custom-developed, vision-based navigation AI for crop analysis and spraying. These drones operate autonomously in diverse and challenging environments, representing a significant advancement in agricultural practices. Automatic satellite monitoring capabilities and 3rd party sensor integration enable continuous and comprehensive observation of customer fields, providing real-time updates on crop health and environmental conditions.

SUIND's upcoming AI-driven crop protection solution will play a crucial role in offering farmers invaluable insights. By analyzing extensive data, the system will detect health issues in crops at early stages and guide farmers in implementing effective strategies to combat these issues, with a focus on boosting crop yields and reducing the environmental impact of farming practices. This proactive management is essential for sustainable agriculture.

The company's seamless data management and processing through a cloud architecture ensures that its solutions are efficient, scalable, and user-friendly. Founded in 2020 and headquartered in India, SUIND's AI-driven approach to crop protection holds promise for transforming the future of global agriculture.

Taxonomy: AI-driven crop protection, drone technology, computer vision, deep learning, smart sensing, agricultural technology, precision agriculture, satellite monitoring, robotics, crop analytics, sustainable agriculture, agritech, environmental impact reduction

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