Farmers have well-developed decision-making skills, having to make on-farm decisions based on multiple factors every day. Making a less than optimal decision, however, can be damaging to a farm business.
There are many factors that influence operational decisions made on the farm and how a farmer may come to make a particular decision. What if we could analyse that information to not only make a good decision but the right decision?
This Food Agility project in collaboration with Federation University, Marcus Oldham College and Southern Farming Systems will develop a decision-making web app to help guide farmers in their on-farm decision-making, while also building knowledge about how those decisions are made.
The Federation University project team is building on a decision matrix framework developed by researchers at Marcus Oldham College. They will use decision science to develop a web app for farmers that will help guide them through critical on-farm decisions, and use this data to track and map human-based decision-making processes.
This decision-making tool can be used when there are several alternatives and factors to consider, by creating a preferred option based on a series of questions that are answered. The tool aims to make complex decisions easier by leveraging data to augment on-farm experience and knowledge.
The project will also build a bank of knowledge about decision-making that could be used for future machine learning applications, further fine-tuning programs that can help farmers make the best decisions for farming productivity.