Agtech capabilities are bringing traditional farming into the 21st century. These solutions range from sprawling LED-equipped indoor farming facilities to robotically plucking ripe produce off the vine using computer vision and artificial intelligence (AI). On Thursday, John Deere and Intel announced a pilot program that relies on AI and computer vision to detect defects in manufacturing related to the welding process. "Welding is a complicated process. This AI solution has the potential to help us produce our high-quality machines more efficiently than before," said Andy Benko, quality director at John Deere Construction and Forestry Division.

Greta Cutulenco, Co-founder and CEO says, "Vehicles are becoming more complex - both mechanically and electronically. This rise in complexity creates a strain on testing processes, which gives rise to quality issues, and eventually a spike in warranty claims and recalls. Acerta offers a SaaS platform that uses machine learning to provide real-time malfunction detection and failure prediction. The platform learns the normal behaviour of the tested system and the complex correlations between data streams, and automatically detects anomalies in real-time. This enables manufacturers to utilise all of the data they collect to produce accurate insight into their system quality."