MiFood develops robotic systems for agricultural applications, utilizing AI-powered vision and machine learning to enhance harvesting efficiency. The technology reduces food waste and crop losses by 30%, while cutting labor costs by 50% and minimizing CO2 emissions on farms.
Funding
$100K 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.
Founders
Product
Problem
Farms face challenges such as food waste, crop losses, labor shortages, high labor costs, and increasing CO2 emissions, hindering sustainability and profitability. Traditional harvesting methods are often inefficient and contribute to environmental concerns.
Solution
MiFood offers robotic systems designed for agricultural automation, addressing key challenges in farming. These robots leverage AI-powered vision and machine learning to optimize harvesting processes. By automating tasks, MiFood aims to reduce food waste and crop losses, lower labor expenses, and minimize CO2 emissions on farms, promoting a more sustainable and efficient agricultural model. The robots are designed to increase harvesting speed and improve overall farm productivity.
Target Audience
MiFood targets farms and agricultural businesses seeking to automate their harvesting processes, reduce operational costs, and improve sustainability.
Features
- AI-powered vision system for fruit detection and identification.
- Machine learning algorithms for optimized harvesting strategies.
- Electromobility for reduced CO2 emissions during operation.
- Robotic arms designed for gentle and efficient fruit picking.
- Automated navigation and path planning within the farm environment.