The future of food production - a text-mining approach

Technology Analysis & Strategic Management. 2020. Vol. 32. No. 5. P. 516–528.

Бахтин П. Д., Хабирова Е. Е., Кузьминов И. Ф., Тернер Т.

The system of food production is facing grand challenges, such as a rising population, climate change, degrading bio-productivity of agricultural land and over-fishing. Agriculture and food production are becoming more innovative and implement new infrastructure, IT-platforms or biotechnologies, like gene editing or synthetic food production. A more advanced knowledge base about food innovations helps customers to build informed opinions of new technologies and provides policy makers and industry actors with better information for strategic decision-making. As the amount of available information exceeds expert knowledge or manual filtering of data outputs, this paper presents a text mining study on science and technology in food production based on more than 30 million documents. The proposed methodology which we demonstrate on the example of the future of food production can be applied each time new data becomes available and can serve as an early warning system for a changing technology landscape. 

Ключевые слова: agriculture, генетически модифицированные организмы (ГМО), text mining, большие данные, АПК, пищевая промышленность, big data, текст-майнинг, genetically modified organisms (GMO), Food innovation

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