Using AI and ML in Improving Agricultural Productivity
Optimization in farm processes has proven to be able to cut cost. Whether optimizing cost or resources, it entails a great deal of decision making which in most cases requires multiple inputs or variables to reach a decision that leads to desired outcomes.
Getting this accuracy right is dependent on the tools used for prediction. One of such tools is that of artificial intelligence (machine learning). These data driven techniques have proven to be successful at forecasting, prediction, resource constraint optimization that are all important to the farmer and in agriculture.
This webinar will introduce participants to the techniques and processes used to design, build and operate an optimized farming system that is driven by data and AI/ML tools.
In a nutshell, welcome to data driven agriculture.