Are you ready for the Artificial Intelligence in Ag?
“Precision agriculture and robotic systems will allow farms to be more profitable, efficient, safe, and environmentally friendly. As precision agriculture (PA) becomes bigger and farms become more connected in the coming years, efficiency and productivity will increase consequently.”
Are you ready for the Artificial Intelligence in Ag? Artificial Intelligence “AI” means the demonstration of intelligence by machines. AI was founded as an academic discipline in 1956, and business felt it when early computers gave retailers the power to order sales data on an unprecedented scale. AI has become more useful for most companies during the last 10 years when lower-cost computational power and more sophisticated algorithms intersected with the vast data sets that could be harvested from the internet and other resources. Talking about AI field, it includes General Artificial Intelligence when simulating human -level cognition in taking complex decisions in varying contexts. Singularity when machines powered by AI will be able to surpass all human intelligence. Narrow Artificial Intelligence which is applied to a single defined task such as language translation. Machine Learning when computers are able to detect patterns and make predictions and recommendations or prescriptive based on algorithm that learns from data or experience.
Machine Learning has different types of algorithm such as supervised and unsupervised learning, Neural Networks, Robotics and Natural Language Processing, based on the type of data, inputs and required outputs, (IESE-2018).