IIoT sensors would bestow the power of data to farmers. Using this data, the farmers can accurately ascertain and predict rainfall, soil nutrition levels, and crop yields and be able to avert pest infestations and crop failures. The main objective of smart farming is not just to gather data, but also to convert this data into meaningful insights that can help improve productivity and bring down manual efforts. With rapidly increasing advancements of IIoT in agriculture, farming practices will continue to develop, there will be improved connectivity resulting in improved productivity. Several traditional farm equipment manufacturers are increasingly making a move towards connectivity and other advanced smart manufacturing techniques. As a recent example, John Deere, a major agricultural equipment manufacturer, acquired an Artificial Intelligence (AI) start up by the name Blue River Technology. John Deere made this move primarily to optimise its traditional crop spraying methods and to automate and teach its tractors how to farm. These tractors would now be deploying cameras that come with deep-learning capabilities; so, when they see a plant, they can identify it as weed and hit it with pesticide. If, on the other hand, the tractor sees a crop, the algorithm ensures that the equipment fitted on the tractor sprays fertilisers over the crops. Given all the potential benefits of IIoT in farming, farmers and farm equipment manufacturers are increasingly turning their focus, time, and investments to smart manufacturing techniques that will define the future of agriculture in the years to come. With such rapid advancements of IIoT in farming, soon millions of sensors will start collecting several zeta bytes of farm data. It will be exciting to explore and discover ground-breaking opportunities that all of this data could bring to the agriculture industry. As far as this industry is concerned, the concept of IIoT is not for the distant future. Now is the right time to think and act.