AID4Crops
AID4Crops will bring together research about what can be sensed with what should be sensed. To do this, we will develop novel AI algorithms to enable autonomous monitoring (sensing) and management (forecasting and decision making) for horticultural crops. Horticulture is chosen as it provides a set of realistic yet challenging environments with crops grown both indoors (in glasshouses) and outdoor (in orchards); the indoor environment provides greater control over the growth of the crops. When considering sensing in the horticultural environment, one of the key questions is how well is the plant or crop growing. That is, what is the state of the plant (phenotpying) and how has it changed since last time it was seen (phenotpying over time). It leads us to the core question of this project which is “how to efficiently and accurately phenotype (measure) a crop through its life cycle using autonomous systems to enable and make informed management decisions regarding the crop.” This is then broken down into two overarching research questions.
- How do we efficiently and accurately phenotype (measure) a crop over time using autonomous systems?
- How can we use this phenotypic information to enable forecasting and management decisions regarding the crop?
On this page you will be informed about the tasks of each subproject and the news and progress of the research.