AgShift, a tech startup is designing the world's most advanced autonomous food inspection system. So far it has raised USD 2 million seed funding from India's Exfinity Ventures and other companies.
The motive behind fundraising was to strengthen product development and reach more customers, to help the startup pursue its mission of reducing global food waste.
Food losses and waste amount to roughly USD 680 billion in industrialized countries and USD 310 billion in developing countries.
AgShift solution can significantly reduce food waste with autonomous, objective and standardized inspection results across the supply chain.
Mode of working:
- Ag Shift app
Food inspectors use this app to capture images of the product samples. The mobile-based approach facilitates the organization to go paperless and digitalized data for efficient practices.
- Deep Learning
The deep learning models analyze the defects in the sample images and make judgments on the overall quality of the product.
- Actionable Insights
This data visualization dashboard allows drill-down analysis of the inspected data in the former process across the supply chain. Consequently, Indices, inspection reports, defects maps are published in real-time unearthing patterns and market conditions within the organizations, for actionable decisions.
According to the Food and Agriculture Organization (FAO), annually around the world 1.3 billion tons of food is lost or wasted. In the world, where about one in nine people do not have enough food (that's some 795 million people), food waste presents an enormous opportunity for tackling food insecurity.
In order to bring more attention to the issue of food loss and waste and promote food loss reduction, FAO is leading the Save Food global initiative, partnering with the United Nations Environment Programme (UNEP) and others in the private sector and civil society.