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Arugga AI Farming

Arugga AI Farming develops multi-purpose robotic solutions for greenhouse automation, addressing labor shortages and yield monitoring needs. Their technology replicates buzz pollination autonomously, offering a stable and cost-effective alternative to live pollinators. The robots also collect real-time crop data to support accurate yield forecasting and operational optimization for growers.

Even Yehuda, IsraelFounded 2017201K+ followers
Updated 3 months ago

Funding

$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Greenhouse farmers face increasing labor costs and shortages, while also seeking to reduce chemical usage for pollination and plant monitoring. Traditional pollination methods can be inconsistent, and manual plant monitoring is time-consuming and prone to human error.

Solution

Arugga AI Farming offers a robotic platform designed to automate pollination and monitor individual plants within greenhouses. The robots perform buzz pollination, mimicking bumblebees to enhance fruit and vegetable yields. The platform supports various modules, including plant lowering, non-contact pruning, and pest and disease detection. By automating these tasks, Arugga reduces the need for manual labor and chemical treatments, promoting more sustainable and efficient farming practices.

Target Audience

The primary target audience includes fruit and vegetable growers in greenhouses, particularly those growing tomatoes, who are looking to reduce labor costs, improve yields, and implement sustainable farming practices.

Features

  • Robotic buzz pollination replicating bumblebee behavior for effective fertilization
  • Plant monitoring using sensors to detect diseases and pests early
  • Autonomous navigation within greenhouses using advanced robotics
  • Modular design supporting robotic pollination, plant lowering, non-contact pruning, and pest & disease detection
  • Data-driven insights to optimize growing practices and reduce chemical usage
This profile is AI-generated and may contain inaccuracies.