The aim of introducing automation in agriculture is to reduce the cost of labor as well as include efficiency in different operations. Moreover, with the technological advancements, even rural youth is abandoning agriculture. Lack of recognition, respect and monitory assistance are some of the many other major reasons for people leaving this department. However, this is not a new development as AI is rendering its services in the agriculture sector for some time now.

Google is incorporating Artificial Intelligence (AI) in its latest search updates in order to improve search results. Google in its online event "Search on" has recently announced that it will be applying AI advancements to improve the Google search results. With the inclusion of new technology called Multitask Unified Model (MUM) the company also announced its new features that will aid the searchers to connect with the content, they are searching for. The company has also launched some interesting AI-powered new features that can help the searchers both broaden and refine their searches. For mobile search users, Google has fulfilled the promise of visual search.

IBM research contributed two platforms to this project. The RXN for chemistry uses natural language processing to automate synthetic chemistry and AI to make predictions about the success rate of the compounds used in the medicines. The company also uses an automated platform RoboRXN for molecule synthesis. The other company Arctoris used its automated platform Ulysses for the project which uses robots and digital data to conduct lab experiments in cell biology, molecular biology, and biophysics. And the experiments conducted by Ulysses generated 100 times more data in comparison to the industry-standard manual methods.