Agriculture is simultaneously a global and local industry, given not only the nature of increasingly complex supply chains, but certainly the human aspects driving said chains. I.E., growers in non-English-speaking production markets are routinely the “farm” to “the fork” of English-native consumers, perhaps its acute annual trade alone constituting the majority of the $195.4B of Ag imports since 2015.
Data science is ‘smoothing’ language differences for businesses across industries, yet its astute deployment in Ag/food services could bring the very long history of Ag as spreader of diverse languages ‘full circle’. AI can significantly advance cross-border translation services by leveraging advanced techniques to improve translation accuracy, efficiency, and accessibility, for global crop producers, processors, shippers, distributors, retailers and even consumers. Such AI tools include:
Neural Machine Translation (NMT).
Quality Assurance (against errors in real-time).
Integration with communication platforms (messaging apps, mobiles, tablets, PCs, sensors, monitors).
