Artificial Intelligence (AI) is changing how plant-based proteins are developed. It helps identify crops that need fewer resources, improves farm productivity, and guides the creation of new protein products.
AI can boost protein yields from crops while reducing water, fertiliser, and other inputs. It can also tailor products to meet consumer taste and nutrition needs. Platforms like MAGDA++ use AI to predict crop yield, taste, and protein functionality. This speeds up the creation of new ingredients and products.
AI supports personalised nutrition. It can design protein blends to meet individual dietary requirements. People can get the right balance of nutrients while enjoying products that taste good.
Digital agriculture uses AI to monitor soil health, predict weather, and detect pests in real time. Crops receive precise care, which improves quality and increases yield. Targeted water and fertiliser use reduces waste and makes farming more sustainable.
AI can also improve protein processing. For example, chickpea protein extraction can be made more efficient while keeping its nutritional value. AI predicts how different protein combinations behave during cooking or processing. This helps create products that match the taste, texture, and nutrition of animal proteins.
AI-driven tools can guide crop selection. Machine learning can analyse soil, climate, and environmental data to identify high-yield, protein-rich varieties. This helps improve soil health, adapt to climate change, and reduce environmental impact.
The technology also supports sustainable supply chains. AI can reduce waste and ensure fresh products reach markets efficiently. Future research may improve protein functionality, allowing plant-based proteins to be used in more foods.
AI is transforming plant-based protein. It benefits the environment, supports farmers, and helps meet the growing global demand for protein-rich foods.